examples/Finance Toolkit - 1. Getting Started.ipynb

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    "![Finance Toolkit](https://github.com/JerBouma/FinanceToolkit/assets/46355364/198d47bd-e1b3-492d-acc4-5d9f02d1d009)\n",
    "\n",
    "**The FinanceToolkit** is an open-source toolkit in which all relevant financial ratios (150+), indicators and performance measurements are written down in the most simplistic way allowing for complete transparency of the calculation method. This allows you to not have to rely on metrics from other providers and, given a financial statement, allow for efficient manual calculations. This leads to one uniform method of calculation being applied that is available and understood by everyone."
   ]
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    "# Installation\n",
    "To install the FinanceToolkit it simply requires the following:\n",
    "\n",
    "```\n",
    "pip install financetoolkit -U\n",
    "```\n",
    "\n",
    "From within Python use:\n",
    "\n",
    "```python\n",
    "from financetoolkit import Toolkit\n",
    "```\n",
    " \n",
    "To be able to get started, you need to obtain an API Key from FinancialModelingPrep. This is used to gain access to 30+ years of financial statement both annually and quarterly. Note that the Free plan is limited to 250 requests each day, 5 years of data and only features companies listed on US exchanges.\n",
    "\n",
    "___ \n",
    "\n",
    "<b><div align=\"center\">Obtain an API Key from FinancialModelingPrep <a href=\"https://www.jeroenbouma.com/fmp\" target=\"_blank\">here</a>.</div></b>\n",
    "___\n",
    "\n",
    "Through the link you are able to subscribe for the free plan and also premium plans at a **15% discount**. This is an affiliate link and thus supports the project at the same time. I have chosen FinancialModelingPrep as a source as I find it to be the most transparent, reliable and at an affordable price. When you notice that data is inaccurate or have any other issue related to the data, note that I simply provide the means to access this data and I am not responsible for the accuracy of the data itself. For this, use <a href=\"https://site.financialmodelingprep.com/contact\" target=\"_blank\">their contact form</a> or provide the data yourself. \n",
    "\n",
    "The current Notebook is revolved around the Toolkit class, a great starting point. If you are interested in the other modules, you can find the related Notebooks below. **Please view the documentation <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/docs\" target=\"_blank\">here</a> to find all the available functionality.**\n",
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    "\n",
    "<div style=\"display: flex; justify-content: space-between;\" class=\"show-on-desktop\">\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/getting-started\" target=\"_blank\" class=\"button button-current\" style=\"flex: 1;margin-right:5px\">Toolkit</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/discovery-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Discovery</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/ratios-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Ratios</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/models-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Models</a>\n",
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    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/technicals-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Technicals</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//fixedincome-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Fixed income</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/risk-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Risk</a>\n",
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    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/economics-module\" target=\"_blank\" class=\"button\" style=\"flex: 1; \">Economics</a>\n",
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   "source": [
    "from financetoolkit import Toolkit\n",
    "\n",
    "API_KEY = \"FINANCIAL_MODELING_PREP_API_KEY\""
   ]
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    "**Initializing only is required once.** This is the case for any function so once you have obtained a balance sheet statement, it will be stored accordingly which means that requests to FinancialModelingPrep, the source used in these examples, are kept to a minimum. Note that in this example annual data is used but by adding `quarterly=True` to the Toolkit initialization, quarterly data can also be collected. Note that this requires a Premium subscription from FMP."
   ]
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   "source": [
    "# Initialize the Toolkit with company tickers\n",
    "companies = Toolkit(\n",
    "    [\"AAPL\", \"MSFT\", \"GOOGL\", \"AMZN\"], api_key=API_KEY, start_date=\"2005-01-01\"\n",
    ")"
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    "Let's start off by collecting some historical data. Here, there are multiple periods that can be selected. This can be `daily`, `weekly`, `monthly`, `quarterly`, or `yearly`. The default is `daily`. If you provide an API key it will automatically collect data via FinancialModelingPrep, otherwise it defaults to Yahoo Finance. You can change this behaviour by changing the `historic_source` parameter in the toolkit initialization."
   ]
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     "text": [
      "Obtaining historical data: 100%|██████████| 5/5 [00:00<00:00,  9.37it/s]\n"
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       "      <th colspan=\"5\" halign=\"left\">High</th>\n",
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       "      <th>2005-01-03</th>\n",
       "      <td>1.16</td>\n",
       "      <td>26.8</td>\n",
       "      <td>4.94</td>\n",
       "      <td>2.25</td>\n",
       "      <td>121.56</td>\n",
       "      <td>1.16</td>\n",
       "      <td>26.95</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.27</td>\n",
       "      <td>121.76</td>\n",
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       "      <td>0.0232</td>\n",
       "      <td>0.0206</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0165</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <th>2005-01-04</th>\n",
       "      <td>1.14</td>\n",
       "      <td>26.87</td>\n",
       "      <td>5.04</td>\n",
       "      <td>2.13</td>\n",
       "      <td>120.46</td>\n",
       "      <td>1.17</td>\n",
       "      <td>27.1</td>\n",
       "      <td>5.08</td>\n",
       "      <td>2.16</td>\n",
       "      <td>120.54</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0232</td>\n",
       "      <td>0.0206</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0165</td>\n",
       "      <td>1.0103</td>\n",
       "      <td>1.0038</td>\n",
       "      <td>0.9606</td>\n",
       "      <td>0.9462</td>\n",
       "      <td>0.9869</td>\n",
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       "      <th>2005-01-05</th>\n",
       "      <td>1.15</td>\n",
       "      <td>26.84</td>\n",
       "      <td>4.84</td>\n",
       "      <td>2.08</td>\n",
       "      <td>118.74</td>\n",
       "      <td>1.17</td>\n",
       "      <td>27.1</td>\n",
       "      <td>4.93</td>\n",
       "      <td>2.14</td>\n",
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       "      <td>1.0191</td>\n",
       "      <td>1.0016</td>\n",
       "      <td>0.9546</td>\n",
       "      <td>0.9372</td>\n",
       "      <td>0.981</td>\n",
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       "      <th>2005-01-06</th>\n",
       "      <td>1.15</td>\n",
       "      <td>26.85</td>\n",
       "      <td>4.88</td>\n",
       "      <td>2.09</td>\n",
       "      <td>118.44</td>\n",
       "      <td>1.16</td>\n",
       "      <td>27.06</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.11</td>\n",
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       "      <th>2005-01-07</th>\n",
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       "      <td>2.07</td>\n",
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       "      <td>1.0974</td>\n",
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       "      <th>2024-03-26</th>\n",
       "      <td>170.0</td>\n",
       "      <td>425.61</td>\n",
       "      <td>150.22</td>\n",
       "      <td>180.15</td>\n",
       "      <td>521.23</td>\n",
       "      <td>171.42</td>\n",
       "      <td>425.99</td>\n",
       "      <td>152.26</td>\n",
       "      <td>180.45</td>\n",
       "      <td>521.58</td>\n",
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       "      <td>0.0232</td>\n",
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       "      <td>22.5965</td>\n",
       "      <td>29.7179</td>\n",
       "      <td>79.9552</td>\n",
       "      <td>6.2237</td>\n",
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       "      <th>2024-03-27</th>\n",
       "      <td>170.41</td>\n",
       "      <td>424.44</td>\n",
       "      <td>151.18</td>\n",
       "      <td>179.88</td>\n",
       "      <td>521.71</td>\n",
       "      <td>173.6</td>\n",
       "      <td>424.45</td>\n",
       "      <td>151.64</td>\n",
       "      <td>180.0</td>\n",
       "      <td>523.21</td>\n",
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       "      <td>0.0232</td>\n",
       "      <td>0.0206</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0165</td>\n",
       "      <td>181.1331</td>\n",
       "      <td>22.5847</td>\n",
       "      <td>29.7574</td>\n",
       "      <td>80.6413</td>\n",
       "      <td>6.276</td>\n",
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       "      <th>2024-03-28</th>\n",
       "      <td>171.75</td>\n",
       "      <td>420.96</td>\n",
       "      <td>150.85</td>\n",
       "      <td>180.17</td>\n",
       "      <td>523.21</td>\n",
       "      <td>172.23</td>\n",
       "      <td>421.87</td>\n",
       "      <td>151.43</td>\n",
       "      <td>181.7</td>\n",
       "      <td>524.61</td>\n",
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       "      <td>0.0232</td>\n",
       "      <td>0.0206</td>\n",
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       "      <td>0.0165</td>\n",
       "      <td>179.2205</td>\n",
       "      <td>22.5466</td>\n",
       "      <td>29.7692</td>\n",
       "      <td>80.8879</td>\n",
       "      <td>6.2748</td>\n",
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       "      <th>2024-04-01</th>\n",
       "      <td>171.19</td>\n",
       "      <td>423.95</td>\n",
       "      <td>150.69</td>\n",
       "      <td>180.79</td>\n",
       "      <td>523.83</td>\n",
       "      <td>171.25</td>\n",
       "      <td>427.89</td>\n",
       "      <td>155.74</td>\n",
       "      <td>183.0</td>\n",
       "      <td>524.38</td>\n",
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       "      <td>0.0232</td>\n",
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       "      <td>177.7051</td>\n",
       "      <td>22.7529</td>\n",
       "      <td>30.6686</td>\n",
       "      <td>81.1525</td>\n",
       "      <td>6.2639</td>\n",
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       "    <tr>\n",
       "      <th>2024-04-02</th>\n",
       "      <td>169.08</td>\n",
       "      <td>420.11</td>\n",
       "      <td>153.5</td>\n",
       "      <td>179.07</td>\n",
       "      <td>518.24</td>\n",
       "      <td>169.34</td>\n",
       "      <td>421.64</td>\n",
       "      <td>154.05</td>\n",
       "      <td>180.1444</td>\n",
       "      <td>518.46</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0232</td>\n",
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       "      <td>0.022</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0165</td>\n",
       "      <td>176.6129</td>\n",
       "      <td>22.5691</td>\n",
       "      <td>30.1854</td>\n",
       "      <td>80.7085</td>\n",
       "      <td>6.2119</td>\n",
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      "text/plain": [
       "             Open                                  High                \\\n",
       "             AAPL   MSFT  GOOGL   AMZN Benchmark   AAPL   MSFT  GOOGL   \n",
       "date                                                                    \n",
       "2005-01-03   1.16   26.8   4.94   2.25    121.56   1.16  26.95    5.1   \n",
       "2005-01-04   1.14  26.87   5.04   2.13    120.46   1.17   27.1   5.08   \n",
       "2005-01-05   1.15  26.84   4.84   2.08    118.74   1.17   27.1   4.93   \n",
       "2005-01-06   1.15  26.85   4.88   2.09    118.44   1.16  27.06    4.9   \n",
       "2005-01-07   1.16  26.82   4.77   2.07    118.97   1.24  26.89   4.86   \n",
       "...           ...    ...    ...    ...       ...    ...    ...    ...   \n",
       "2024-03-26  170.0 425.61 150.22 180.15    521.23 171.42 425.99 152.26   \n",
       "2024-03-27 170.41 424.44 151.18 179.88    521.71  173.6 424.45 151.64   \n",
       "2024-03-28 171.75 420.96 150.85 180.17    523.21 172.23 421.87 151.43   \n",
       "2024-04-01 171.19 423.95 150.69 180.79    523.83 171.25 427.89 155.74   \n",
       "2024-04-02 169.08 420.11  153.5 179.07    518.24 169.34 421.64 154.05   \n",
       "\n",
       "                               ... Excess Volatility                      \\\n",
       "               AMZN Benchmark  ...              AAPL   MSFT GOOGL   AMZN   \n",
       "date                           ...                                         \n",
       "2005-01-03     2.27    121.76  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2005-01-04     2.16    120.54  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2005-01-05     2.14    119.25  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2005-01-06     2.11    119.15  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2005-01-07     2.13    119.23  ...            0.0232 0.0206 0.022 0.0266   \n",
       "...             ...       ...  ...               ...    ...   ...    ...   \n",
       "2024-03-26   180.45    521.58  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2024-03-27    180.0    523.21  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2024-03-28    181.7    524.61  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2024-04-01    183.0    524.38  ...            0.0232 0.0206 0.022 0.0266   \n",
       "2024-04-02 180.1444    518.46  ...            0.0232 0.0206 0.022 0.0266   \n",
       "\n",
       "                     Cumulative Return                                    \n",
       "           Benchmark              AAPL    MSFT   GOOGL    AMZN Benchmark  \n",
       "date                                                                      \n",
       "2005-01-03    0.0165               1.0     1.0     1.0     1.0       1.0  \n",
       "2005-01-04    0.0165            1.0103  1.0038  0.9606  0.9462    0.9869  \n",
       "2005-01-05    0.0165            1.0191  1.0016  0.9546  0.9372     0.981  \n",
       "2005-01-06    0.0165            1.0199  1.0005   0.931  0.9193     0.986  \n",
       "2005-01-07    0.0165            1.0974  0.9973  0.9566  0.9507    0.9845  \n",
       "...              ...               ...     ...     ...     ...       ...  \n",
       "2024-03-26    0.0165          177.3706 22.5965 29.7179 79.9552    6.2237  \n",
       "2024-03-27    0.0165          181.1331 22.5847 29.7574 80.6413     6.276  \n",
       "2024-03-28    0.0165          179.2205 22.5466 29.7692 80.8879    6.2748  \n",
       "2024-04-01    0.0165          177.7051 22.7529 30.6686 81.1525    6.2639  \n",
       "2024-04-02    0.0165          176.6129 22.5691 30.1854 80.7085    6.2119  \n",
       "\n",
       "[4844 rows x 60 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">Open</th>\n",
       "      <th colspan=\"5\" halign=\"left\">High</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Excess Volatility</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Cumulative Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>...</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>2.53</td>\n",
       "      <td>26.15</td>\n",
       "      <td>10.44</td>\n",
       "      <td>2.39</td>\n",
       "      <td>124.8</td>\n",
       "      <td>2.59</td>\n",
       "      <td>26.31</td>\n",
       "      <td>10.47</td>\n",
       "      <td>2.41</td>\n",
       "      <td>125.06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3931</td>\n",
       "      <td>0.1454</td>\n",
       "      <td>0.3292</td>\n",
       "      <td>0.3556</td>\n",
       "      <td>0.108</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>3.0</td>\n",
       "      <td>29.86</td>\n",
       "      <td>11.56</td>\n",
       "      <td>2.0</td>\n",
       "      <td>142.1</td>\n",
       "      <td>3.05</td>\n",
       "      <td>30.15</td>\n",
       "      <td>11.62</td>\n",
       "      <td>2.01</td>\n",
       "      <td>142.54</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3884</td>\n",
       "      <td>0.2126</td>\n",
       "      <td>0.3414</td>\n",
       "      <td>0.4046</td>\n",
       "      <td>0.1092</td>\n",
       "      <td>1.1843</td>\n",
       "      <td>1.1586</td>\n",
       "      <td>1.1098</td>\n",
       "      <td>0.8347</td>\n",
       "      <td>1.1584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>7.13</td>\n",
       "      <td>35.9</td>\n",
       "      <td>17.48</td>\n",
       "      <td>4.69</td>\n",
       "      <td>147.1</td>\n",
       "      <td>7.16</td>\n",
       "      <td>35.99</td>\n",
       "      <td>17.58</td>\n",
       "      <td>4.72</td>\n",
       "      <td>147.61</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3815</td>\n",
       "      <td>0.2353</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.5217</td>\n",
       "      <td>0.1647</td>\n",
       "      <td>2.7604</td>\n",
       "      <td>1.4001</td>\n",
       "      <td>1.6667</td>\n",
       "      <td>1.9619</td>\n",
       "      <td>1.2181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>3.07</td>\n",
       "      <td>19.31</td>\n",
       "      <td>7.61</td>\n",
       "      <td>2.54</td>\n",
       "      <td>89.08</td>\n",
       "      <td>3.13</td>\n",
       "      <td>19.68</td>\n",
       "      <td>7.78</td>\n",
       "      <td>2.58</td>\n",
       "      <td>90.97</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5853</td>\n",
       "      <td>0.4882</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.419</td>\n",
       "      <td>1.1889</td>\n",
       "      <td>0.7786</td>\n",
       "      <td>0.7418</td>\n",
       "      <td>1.0847</td>\n",
       "      <td>0.7699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>7.61</td>\n",
       "      <td>30.98</td>\n",
       "      <td>15.63</td>\n",
       "      <td>6.85</td>\n",
       "      <td>112.77</td>\n",
       "      <td>7.62</td>\n",
       "      <td>30.99</td>\n",
       "      <td>15.65</td>\n",
       "      <td>6.86</td>\n",
       "      <td>112.8</td>\n",
       "      <td>...</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.3733</td>\n",
       "      <td>0.3082</td>\n",
       "      <td>0.5297</td>\n",
       "      <td>0.2685</td>\n",
       "      <td>2.9355</td>\n",
       "      <td>1.2496</td>\n",
       "      <td>1.4952</td>\n",
       "      <td>2.8517</td>\n",
       "      <td>0.9728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>11.53</td>\n",
       "      <td>27.8</td>\n",
       "      <td>14.93</td>\n",
       "      <td>9.1</td>\n",
       "      <td>125.53</td>\n",
       "      <td>11.55</td>\n",
       "      <td>27.92</td>\n",
       "      <td>14.98</td>\n",
       "      <td>9.12</td>\n",
       "      <td>125.87</td>\n",
       "      <td>...</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.2317</td>\n",
       "      <td>0.2942</td>\n",
       "      <td>0.3394</td>\n",
       "      <td>0.1941</td>\n",
       "      <td>4.4931</td>\n",
       "      <td>1.1678</td>\n",
       "      <td>1.4316</td>\n",
       "      <td>3.8136</td>\n",
       "      <td>1.1192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>14.41</td>\n",
       "      <td>26.0</td>\n",
       "      <td>16.07</td>\n",
       "      <td>8.67</td>\n",
       "      <td>126.02</td>\n",
       "      <td>14.51</td>\n",
       "      <td>26.12</td>\n",
       "      <td>16.19</td>\n",
       "      <td>8.76</td>\n",
       "      <td>126.33</td>\n",
       "      <td>...</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.2542</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.3887</td>\n",
       "      <td>0.247</td>\n",
       "      <td>5.6452</td>\n",
       "      <td>1.1153</td>\n",
       "      <td>1.5568</td>\n",
       "      <td>3.6653</td>\n",
       "      <td>1.1404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>18.23</td>\n",
       "      <td>26.59</td>\n",
       "      <td>17.52</td>\n",
       "      <td>12.19</td>\n",
       "      <td>139.66</td>\n",
       "      <td>19.12</td>\n",
       "      <td>26.77</td>\n",
       "      <td>17.78</td>\n",
       "      <td>12.62</td>\n",
       "      <td>142.56</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2918</td>\n",
       "      <td>0.207</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.3177</td>\n",
       "      <td>0.1297</td>\n",
       "      <td>7.4793</td>\n",
       "      <td>1.1798</td>\n",
       "      <td>1.7052</td>\n",
       "      <td>5.3136</td>\n",
       "      <td>1.3228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>19.79</td>\n",
       "      <td>37.4</td>\n",
       "      <td>27.83</td>\n",
       "      <td>19.73</td>\n",
       "      <td>184.07</td>\n",
       "      <td>20.05</td>\n",
       "      <td>37.58</td>\n",
       "      <td>28.05</td>\n",
       "      <td>19.94</td>\n",
       "      <td>184.69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2881</td>\n",
       "      <td>0.2617</td>\n",
       "      <td>0.2299</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.1296</td>\n",
       "      <td>8.0829</td>\n",
       "      <td>1.7022</td>\n",
       "      <td>2.7023</td>\n",
       "      <td>8.4492</td>\n",
       "      <td>1.7502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>28.21</td>\n",
       "      <td>46.73</td>\n",
       "      <td>26.89</td>\n",
       "      <td>15.58</td>\n",
       "      <td>207.99</td>\n",
       "      <td>28.28</td>\n",
       "      <td>47.44</td>\n",
       "      <td>26.92</td>\n",
       "      <td>15.65</td>\n",
       "      <td>208.19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2194</td>\n",
       "      <td>0.1921</td>\n",
       "      <td>0.2136</td>\n",
       "      <td>0.3244</td>\n",
       "      <td>0.117</td>\n",
       "      <td>11.3687</td>\n",
       "      <td>2.1716</td>\n",
       "      <td>2.5559</td>\n",
       "      <td>6.5763</td>\n",
       "      <td>1.9859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>26.75</td>\n",
       "      <td>56.04</td>\n",
       "      <td>39.39</td>\n",
       "      <td>34.3</td>\n",
       "      <td>205.13</td>\n",
       "      <td>26.76</td>\n",
       "      <td>56.19</td>\n",
       "      <td>39.42</td>\n",
       "      <td>34.39</td>\n",
       "      <td>205.89</td>\n",
       "      <td>...</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.2829</td>\n",
       "      <td>0.2884</td>\n",
       "      <td>0.3382</td>\n",
       "      <td>0.1559</td>\n",
       "      <td>11.0276</td>\n",
       "      <td>2.6643</td>\n",
       "      <td>3.7476</td>\n",
       "      <td>14.3178</td>\n",
       "      <td>2.0104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>29.16</td>\n",
       "      <td>62.96</td>\n",
       "      <td>40.16</td>\n",
       "      <td>38.32</td>\n",
       "      <td>224.73</td>\n",
       "      <td>29.3</td>\n",
       "      <td>62.99</td>\n",
       "      <td>40.16</td>\n",
       "      <td>38.37</td>\n",
       "      <td>224.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2402</td>\n",
       "      <td>0.2341</td>\n",
       "      <td>0.2099</td>\n",
       "      <td>0.3062</td>\n",
       "      <td>0.1386</td>\n",
       "      <td>12.4009</td>\n",
       "      <td>3.0661</td>\n",
       "      <td>3.817</td>\n",
       "      <td>15.8856</td>\n",
       "      <td>2.2516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>42.63</td>\n",
       "      <td>85.63</td>\n",
       "      <td>52.77</td>\n",
       "      <td>59.12</td>\n",
       "      <td>268.53</td>\n",
       "      <td>42.65</td>\n",
       "      <td>86.05</td>\n",
       "      <td>52.9</td>\n",
       "      <td>59.2</td>\n",
       "      <td>268.55</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1745</td>\n",
       "      <td>0.1484</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.0686</td>\n",
       "      <td>18.4147</td>\n",
       "      <td>4.3151</td>\n",
       "      <td>5.0742</td>\n",
       "      <td>24.7754</td>\n",
       "      <td>2.7403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>39.63</td>\n",
       "      <td>101.29</td>\n",
       "      <td>52.89</td>\n",
       "      <td>75.54</td>\n",
       "      <td>249.56</td>\n",
       "      <td>39.84</td>\n",
       "      <td>102.4</td>\n",
       "      <td>53.15</td>\n",
       "      <td>76.04</td>\n",
       "      <td>250.19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2897</td>\n",
       "      <td>0.2849</td>\n",
       "      <td>0.2849</td>\n",
       "      <td>0.3641</td>\n",
       "      <td>0.1734</td>\n",
       "      <td>17.4194</td>\n",
       "      <td>5.2122</td>\n",
       "      <td>5.0337</td>\n",
       "      <td>31.822</td>\n",
       "      <td>2.615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>72.48</td>\n",
       "      <td>156.77</td>\n",
       "      <td>66.79</td>\n",
       "      <td>92.1</td>\n",
       "      <td>320.53</td>\n",
       "      <td>73.42</td>\n",
       "      <td>157.77</td>\n",
       "      <td>67.03</td>\n",
       "      <td>92.66</td>\n",
       "      <td>322.13</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2698</td>\n",
       "      <td>0.2046</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.2327</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>32.9171</td>\n",
       "      <td>8.2128</td>\n",
       "      <td>6.4518</td>\n",
       "      <td>39.1483</td>\n",
       "      <td>3.4315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>134.08</td>\n",
       "      <td>221.7</td>\n",
       "      <td>86.86</td>\n",
       "      <td>163.75</td>\n",
       "      <td>371.78</td>\n",
       "      <td>134.74</td>\n",
       "      <td>223.0</td>\n",
       "      <td>87.88</td>\n",
       "      <td>164.15</td>\n",
       "      <td>374.66</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4708</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.3874</td>\n",
       "      <td>0.3893</td>\n",
       "      <td>0.3392</td>\n",
       "      <td>60.0092</td>\n",
       "      <td>11.7055</td>\n",
       "      <td>8.4422</td>\n",
       "      <td>69.0042</td>\n",
       "      <td>4.0606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>178.09</td>\n",
       "      <td>338.51</td>\n",
       "      <td>146.05</td>\n",
       "      <td>168.96</td>\n",
       "      <td>475.64</td>\n",
       "      <td>179.23</td>\n",
       "      <td>339.36</td>\n",
       "      <td>146.7</td>\n",
       "      <td>169.35</td>\n",
       "      <td>476.86</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2514</td>\n",
       "      <td>0.2127</td>\n",
       "      <td>0.2467</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.1321</td>\n",
       "      <td>80.8018</td>\n",
       "      <td>17.8484</td>\n",
       "      <td>13.9547</td>\n",
       "      <td>70.6441</td>\n",
       "      <td>5.2272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>128.41</td>\n",
       "      <td>238.21</td>\n",
       "      <td>86.98</td>\n",
       "      <td>83.12</td>\n",
       "      <td>380.64</td>\n",
       "      <td>129.95</td>\n",
       "      <td>239.96</td>\n",
       "      <td>88.3</td>\n",
       "      <td>84.05</td>\n",
       "      <td>382.58</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3773</td>\n",
       "      <td>0.3688</td>\n",
       "      <td>0.4048</td>\n",
       "      <td>0.5207</td>\n",
       "      <td>0.2659</td>\n",
       "      <td>59.4654</td>\n",
       "      <td>12.8462</td>\n",
       "      <td>8.5</td>\n",
       "      <td>35.5932</td>\n",
       "      <td>4.2772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>193.9</td>\n",
       "      <td>376.0</td>\n",
       "      <td>139.63</td>\n",
       "      <td>153.1</td>\n",
       "      <td>476.49</td>\n",
       "      <td>194.4</td>\n",
       "      <td>377.16</td>\n",
       "      <td>140.36</td>\n",
       "      <td>153.89</td>\n",
       "      <td>477.03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.221</td>\n",
       "      <td>0.2627</td>\n",
       "      <td>0.3188</td>\n",
       "      <td>0.3421</td>\n",
       "      <td>0.1519</td>\n",
       "      <td>88.6083</td>\n",
       "      <td>20.3221</td>\n",
       "      <td>13.4576</td>\n",
       "      <td>64.3814</td>\n",
       "      <td>5.3968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024</th>\n",
       "      <td>169.08</td>\n",
       "      <td>420.11</td>\n",
       "      <td>153.5</td>\n",
       "      <td>179.07</td>\n",
       "      <td>518.24</td>\n",
       "      <td>169.34</td>\n",
       "      <td>421.64</td>\n",
       "      <td>154.05</td>\n",
       "      <td>180.1444</td>\n",
       "      <td>518.46</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2079</td>\n",
       "      <td>0.1934</td>\n",
       "      <td>0.2831</td>\n",
       "      <td>0.2646</td>\n",
       "      <td>0.1119</td>\n",
       "      <td>77.8733</td>\n",
       "      <td>22.8013</td>\n",
       "      <td>14.7437</td>\n",
       "      <td>76.2627</td>\n",
       "      <td>5.8977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Open                                  High                         \\\n",
       "       AAPL   MSFT  GOOGL   AMZN Benchmark   AAPL   MSFT  GOOGL     AMZN   \n",
       "Date                                                                       \n",
       "2005   2.53  26.15  10.44   2.39     124.8   2.59  26.31  10.47     2.41   \n",
       "2006    3.0  29.86  11.56    2.0     142.1   3.05  30.15  11.62     2.01   \n",
       "2007   7.13   35.9  17.48   4.69     147.1   7.16  35.99  17.58     4.72   \n",
       "2008   3.07  19.31   7.61   2.54     89.08   3.13  19.68   7.78     2.58   \n",
       "2009   7.61  30.98  15.63   6.85    112.77   7.62  30.99  15.65     6.86   \n",
       "2010  11.53   27.8  14.93    9.1    125.53  11.55  27.92  14.98     9.12   \n",
       "2011  14.41   26.0  16.07   8.67    126.02  14.51  26.12  16.19     8.76   \n",
       "2012  18.23  26.59  17.52  12.19    139.66  19.12  26.77  17.78    12.62   \n",
       "2013  19.79   37.4  27.83  19.73    184.07  20.05  37.58  28.05    19.94   \n",
       "2014  28.21  46.73  26.89  15.58    207.99  28.28  47.44  26.92    15.65   \n",
       "2015  26.75  56.04  39.39   34.3    205.13  26.76  56.19  39.42    34.39   \n",
       "2016  29.16  62.96  40.16  38.32    224.73   29.3  62.99  40.16    38.37   \n",
       "2017  42.63  85.63  52.77  59.12    268.53  42.65  86.05   52.9     59.2   \n",
       "2018  39.63 101.29  52.89  75.54    249.56  39.84  102.4  53.15    76.04   \n",
       "2019  72.48 156.77  66.79   92.1    320.53  73.42 157.77  67.03    92.66   \n",
       "2020 134.08  221.7  86.86 163.75    371.78 134.74  223.0  87.88   164.15   \n",
       "2021 178.09 338.51 146.05 168.96    475.64 179.23 339.36  146.7   169.35   \n",
       "2022 128.41 238.21  86.98  83.12    380.64 129.95 239.96   88.3    84.05   \n",
       "2023  193.9  376.0 139.63  153.1    476.49  194.4 377.16 140.36   153.89   \n",
       "2024 169.08 420.11  153.5 179.07    518.24 169.34 421.64 154.05 180.1444   \n",
       "\n",
       "                ... Excess Volatility                                 \\\n",
       "     Benchmark  ...              AAPL   MSFT  GOOGL   AMZN Benchmark   \n",
       "Date            ...                                                    \n",
       "2005    125.06  ...            0.3931 0.1454 0.3292 0.3556     0.108   \n",
       "2006    142.54  ...            0.3884 0.2126 0.3414 0.4046    0.1092   \n",
       "2007    147.61  ...            0.3815 0.2353  0.248 0.5217    0.1647   \n",
       "2008     90.97  ...            0.5853 0.4882  0.557  0.665     0.419   \n",
       "2009     112.8  ...             0.345 0.3733 0.3082 0.5297    0.2685   \n",
       "2010    125.87  ...             0.276 0.2317 0.2942 0.3394    0.1941   \n",
       "2011    126.33  ...             0.278 0.2542  0.313 0.3887     0.247   \n",
       "2012    142.56  ...            0.2918  0.207 0.2333 0.3177    0.1297   \n",
       "2013    184.69  ...            0.2881 0.2617 0.2299  0.275    0.1296   \n",
       "2014    208.19  ...            0.2194 0.1921 0.2136 0.3244     0.117   \n",
       "2015    205.89  ...              0.27 0.2829 0.2884 0.3382    0.1559   \n",
       "2016    224.83  ...            0.2402 0.2341 0.2099 0.3062    0.1386   \n",
       "2017    268.55  ...            0.1745 0.1484  0.153  0.209    0.0686   \n",
       "2018    250.19  ...            0.2897 0.2849 0.2849 0.3641    0.1734   \n",
       "2019    322.13  ...            0.2698 0.2046  0.244 0.2327    0.1374   \n",
       "2020    374.66  ...            0.4708  0.441 0.3874 0.3893    0.3392   \n",
       "2021    476.86  ...            0.2514 0.2127 0.2467 0.2414    0.1321   \n",
       "2022    382.58  ...            0.3773 0.3688 0.4048 0.5207    0.2659   \n",
       "2023    477.03  ...             0.221 0.2627 0.3188 0.3421    0.1519   \n",
       "2024    518.46  ...            0.2079 0.1934 0.2831 0.2646    0.1119   \n",
       "\n",
       "     Cumulative Return                                    \n",
       "                  AAPL    MSFT   GOOGL    AMZN Benchmark  \n",
       "Date                                                      \n",
       "2005               1.0     1.0     1.0     1.0       1.0  \n",
       "2006            1.1843  1.1586  1.1098  0.8347    1.1584  \n",
       "2007            2.7604  1.4001  1.6667  1.9619    1.2181  \n",
       "2008            1.1889  0.7786  0.7418  1.0847    0.7699  \n",
       "2009            2.9355  1.2496  1.4952  2.8517    0.9728  \n",
       "2010            4.4931  1.1678  1.4316  3.8136    1.1192  \n",
       "2011            5.6452  1.1153  1.5568  3.6653    1.1404  \n",
       "2012            7.4793  1.1798  1.7052  5.3136    1.3228  \n",
       "2013            8.0829  1.7022  2.7023  8.4492    1.7502  \n",
       "2014           11.3687  2.1716  2.5559  6.5763    1.9859  \n",
       "2015           11.0276  2.6643  3.7476 14.3178    2.0104  \n",
       "2016           12.4009  3.0661   3.817 15.8856    2.2516  \n",
       "2017           18.4147  4.3151  5.0742 24.7754    2.7403  \n",
       "2018           17.4194  5.2122  5.0337  31.822     2.615  \n",
       "2019           32.9171  8.2128  6.4518 39.1483    3.4315  \n",
       "2020           60.0092 11.7055  8.4422 69.0042    4.0606  \n",
       "2021           80.8018 17.8484 13.9547 70.6441    5.2272  \n",
       "2022           59.4654 12.8462     8.5 35.5932    4.2772  \n",
       "2023           88.6083 20.3221 13.4576 64.3814    5.3968  \n",
       "2024           77.8733 22.8013 14.7437 76.2627    5.8977  \n",
       "\n",
       "[20 rows x 60 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Cumulative Returns of Apple, Microsoft, Google and Amazon'}, xlabel='Date', ylabel='Cumulative Return'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Obtain daily historical data from each company\n",
    "display(companies.get_historical_data())\n",
    "\n",
    "# Obtain yearly historical data from each company\n",
    "display(companies.get_historical_data(period=\"yearly\"))\n",
    "\n",
    "# Plot the Cumulative Returns\n",
    "companies.get_historical_data(period=\"quarterly\")[\"Cumulative Return\"].plot(\n",
    "    figsize=(15, 5),\n",
    "    title=\"Cumulative Returns of Apple, Microsoft, Google and Amazon\",\n",
    "    grid=True,\n",
    "    linestyle=\"-\",\n",
    "    linewidth=2,\n",
    "    colormap=\"plasma\",\n",
    "    xlabel=\"Date\",\n",
    "    ylabel=\"Cumulative Return\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1877f8e",
   "metadata": {},
   "source": [
    "It can be of help to understand some general statistics about this data as well, this can be done with `get_historical_statistics`. This is especially relevant when looking at products that are denoted in different currencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "22c87c52",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining historical statistics: 100%|██████████| 4/4 [00:00<00:00,  9.64it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Currency</th>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbol</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>MSFT</td>\n",
       "      <td>GOOGL</td>\n",
       "      <td>AMZN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exchange Name</th>\n",
       "      <td>NMS</td>\n",
       "      <td>NMS</td>\n",
       "      <td>NMS</td>\n",
       "      <td>NMS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Instrument Type</th>\n",
       "      <td>EQUITY</td>\n",
       "      <td>EQUITY</td>\n",
       "      <td>EQUITY</td>\n",
       "      <td>EQUITY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Trade Date</th>\n",
       "      <td>1980-12-12</td>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>2004-08-19</td>\n",
       "      <td>1997-05-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Regular Market Time</th>\n",
       "      <td>2024-04-02</td>\n",
       "      <td>2024-04-02</td>\n",
       "      <td>2024-04-02</td>\n",
       "      <td>2024-04-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GMT Offset</th>\n",
       "      <td>-14400</td>\n",
       "      <td>-14400</td>\n",
       "      <td>-14400</td>\n",
       "      <td>-14400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timezone</th>\n",
       "      <td>EDT</td>\n",
       "      <td>EDT</td>\n",
       "      <td>EDT</td>\n",
       "      <td>EDT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exchange Timezone Name</th>\n",
       "      <td>America/New_York</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>America/New_York</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    AAPL              MSFT             GOOGL  \\\n",
       "Currency                             USD               USD               USD   \n",
       "Symbol                              AAPL              MSFT             GOOGL   \n",
       "Exchange Name                        NMS               NMS               NMS   \n",
       "Instrument Type                   EQUITY            EQUITY            EQUITY   \n",
       "First Trade Date              1980-12-12        1986-03-13        2004-08-19   \n",
       "Regular Market Time           2024-04-02        2024-04-02        2024-04-02   \n",
       "GMT Offset                        -14400            -14400            -14400   \n",
       "Timezone                             EDT               EDT               EDT   \n",
       "Exchange Timezone Name  America/New_York  America/New_York  America/New_York   \n",
       "\n",
       "                                    AMZN  \n",
       "Currency                             USD  \n",
       "Symbol                              AMZN  \n",
       "Exchange Name                        NMS  \n",
       "Instrument Type                   EQUITY  \n",
       "First Trade Date              1997-05-15  \n",
       "Regular Market Time           2024-04-02  \n",
       "GMT Offset                        -14400  \n",
       "Timezone                             EDT  \n",
       "Exchange Timezone Name  America/New_York  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_historical_statistics()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51db6040",
   "metadata": {},
   "source": [
    "Then on to the financial statements in which for any period, based on how this is defined in the Toolkit initialization, can be collected. This can also be quarterly financial statements if the `quarterly=True` parameter is added to the Toolkit initialization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c80a5663",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining balance data: 100%|██████████| 4/4 [00:00<00:00,  9.31it/s]\n",
      "Obtaining exchange data: 100%|██████████| 1/1 [00:00<00:00,  9.34it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>Cash and Cash Equivalents</th>\n",
       "      <td>3491000000.0</td>\n",
       "      <td>6392000000.0</td>\n",
       "      <td>9352000000.0</td>\n",
       "      <td>11875000000.0</td>\n",
       "      <td>5263000000.0</td>\n",
       "      <td>11261000000.0</td>\n",
       "      <td>9815000000.0</td>\n",
       "      <td>10746000000.0</td>\n",
       "      <td>14259000000.0</td>\n",
       "      <td>13844000000.0</td>\n",
       "      <td>21120000000.0</td>\n",
       "      <td>20484000000.0</td>\n",
       "      <td>20289000000.0</td>\n",
       "      <td>25913000000.0</td>\n",
       "      <td>48844000000.0</td>\n",
       "      <td>38016000000.0</td>\n",
       "      <td>34940000000.0</td>\n",
       "      <td>23646000000.0</td>\n",
       "      <td>29965000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Short Term Investments</th>\n",
       "      <td>4770000000.0</td>\n",
       "      <td>3718000000.0</td>\n",
       "      <td>6034000000.0</td>\n",
       "      <td>12615000000.0</td>\n",
       "      <td>18201000000.0</td>\n",
       "      <td>14359000000.0</td>\n",
       "      <td>16137000000.0</td>\n",
       "      <td>18383000000.0</td>\n",
       "      <td>26287000000.0</td>\n",
       "      <td>11233000000.0</td>\n",
       "      <td>20481000000.0</td>\n",
       "      <td>46671000000.0</td>\n",
       "      <td>53892000000.0</td>\n",
       "      <td>40388000000.0</td>\n",
       "      <td>51713000000.0</td>\n",
       "      <td>52927000000.0</td>\n",
       "      <td>27699000000.0</td>\n",
       "      <td>24658000000.0</td>\n",
       "      <td>31590000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cash and Short Term Investments</th>\n",
       "      <td>8261000000.0</td>\n",
       "      <td>10110000000.0</td>\n",
       "      <td>15386000000.0</td>\n",
       "      <td>24490000000.0</td>\n",
       "      <td>23464000000.0</td>\n",
       "      <td>25620000000.0</td>\n",
       "      <td>25952000000.0</td>\n",
       "      <td>29129000000.0</td>\n",
       "      <td>40546000000.0</td>\n",
       "      <td>25077000000.0</td>\n",
       "      <td>41601000000.0</td>\n",
       "      <td>67155000000.0</td>\n",
       "      <td>74181000000.0</td>\n",
       "      <td>66301000000.0</td>\n",
       "      <td>100557000000.0</td>\n",
       "      <td>90943000000.0</td>\n",
       "      <td>62639000000.0</td>\n",
       "      <td>48304000000.0</td>\n",
       "      <td>61555000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Accounts Receivable</th>\n",
       "      <td>1312000000.0</td>\n",
       "      <td>2845000000.0</td>\n",
       "      <td>4029000000.0</td>\n",
       "      <td>2422000000.0</td>\n",
       "      <td>3361000000.0</td>\n",
       "      <td>9924000000.0</td>\n",
       "      <td>11717000000.0</td>\n",
       "      <td>18692000000.0</td>\n",
       "      <td>20641000000.0</td>\n",
       "      <td>27219000000.0</td>\n",
       "      <td>30343000000.0</td>\n",
       "      <td>29299000000.0</td>\n",
       "      <td>35673000000.0</td>\n",
       "      <td>48995000000.0</td>\n",
       "      <td>45804000000.0</td>\n",
       "      <td>37445000000.0</td>\n",
       "      <td>51506000000.0</td>\n",
       "      <td>60932000000.0</td>\n",
       "      <td>60985000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventory</th>\n",
       "      <td>165000000.0</td>\n",
       "      <td>270000000.0</td>\n",
       "      <td>346000000.0</td>\n",
       "      <td>509000000.0</td>\n",
       "      <td>455000000.0</td>\n",
       "      <td>1051000000.0</td>\n",
       "      <td>776000000.0</td>\n",
       "      <td>791000000.0</td>\n",
       "      <td>1764000000.0</td>\n",
       "      <td>2111000000.0</td>\n",
       "      <td>2349000000.0</td>\n",
       "      <td>2132000000.0</td>\n",
       "      <td>4855000000.0</td>\n",
       "      <td>3956000000.0</td>\n",
       "      <td>4106000000.0</td>\n",
       "      <td>4061000000.0</td>\n",
       "      <td>6580000000.0</td>\n",
       "      <td>4946000000.0</td>\n",
       "      <td>6331000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th>Minority Interest</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Liabilities and Equity</th>\n",
       "      <td>70815000000.0</td>\n",
       "      <td>69597000000.0</td>\n",
       "      <td>63171000000.0</td>\n",
       "      <td>72793000000.0</td>\n",
       "      <td>77888000000.0</td>\n",
       "      <td>86113000000.0</td>\n",
       "      <td>108704000000.0</td>\n",
       "      <td>121271000000.0</td>\n",
       "      <td>142431000000.0</td>\n",
       "      <td>172384000000.0</td>\n",
       "      <td>176223000000.0</td>\n",
       "      <td>193694000000.0</td>\n",
       "      <td>241086000000.0</td>\n",
       "      <td>258848000000.0</td>\n",
       "      <td>286556000000.0</td>\n",
       "      <td>301311000000.0</td>\n",
       "      <td>333779000000.0</td>\n",
       "      <td>364840000000.0</td>\n",
       "      <td>411976000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Investments</th>\n",
       "      <td>32900000000.0</td>\n",
       "      <td>27447000000.0</td>\n",
       "      <td>17300000000.0</td>\n",
       "      <td>19911000000.0</td>\n",
       "      <td>30304000000.0</td>\n",
       "      <td>39037000000.0</td>\n",
       "      <td>54027000000.0</td>\n",
       "      <td>65878000000.0</td>\n",
       "      <td>84062000000.0</td>\n",
       "      <td>91637000000.0</td>\n",
       "      <td>102984000000.0</td>\n",
       "      <td>117161000000.0</td>\n",
       "      <td>131341000000.0</td>\n",
       "      <td>123684000000.0</td>\n",
       "      <td>125112000000.0</td>\n",
       "      <td>125916000000.0</td>\n",
       "      <td>122094000000.0</td>\n",
       "      <td>97709000000.0</td>\n",
       "      <td>86437000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Debt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5746000000.0</td>\n",
       "      <td>5939000000.0</td>\n",
       "      <td>11921000000.0</td>\n",
       "      <td>11944000000.0</td>\n",
       "      <td>15600000000.0</td>\n",
       "      <td>22645000000.0</td>\n",
       "      <td>35292000000.0</td>\n",
       "      <td>53687000000.0</td>\n",
       "      <td>86194000000.0</td>\n",
       "      <td>81808000000.0</td>\n",
       "      <td>78366000000.0</td>\n",
       "      <td>70998000000.0</td>\n",
       "      <td>67775000000.0</td>\n",
       "      <td>61270000000.0</td>\n",
       "      <td>59965000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Net Debt</th>\n",
       "      <td>-4851000000.0</td>\n",
       "      <td>-6714000000.0</td>\n",
       "      <td>-6111000000.0</td>\n",
       "      <td>-10339000000.0</td>\n",
       "      <td>-330000000.0</td>\n",
       "      <td>434000000.0</td>\n",
       "      <td>2311000000.0</td>\n",
       "      <td>5006000000.0</td>\n",
       "      <td>11796000000.0</td>\n",
       "      <td>13976000000.0</td>\n",
       "      <td>29697000000.0</td>\n",
       "      <td>47177000000.0</td>\n",
       "      <td>78531000000.0</td>\n",
       "      <td>69862000000.0</td>\n",
       "      <td>67010000000.0</td>\n",
       "      <td>57422000000.0</td>\n",
       "      <td>53551000000.0</td>\n",
       "      <td>47339000000.0</td>\n",
       "      <td>25261000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>172 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                          2005          2006  \\\n",
       "AAPL Cash and Cash Equivalents        3491000000.0  6392000000.0   \n",
       "     Short Term Investments           4770000000.0  3718000000.0   \n",
       "     Cash and Short Term Investments  8261000000.0 10110000000.0   \n",
       "     Accounts Receivable              1312000000.0  2845000000.0   \n",
       "     Inventory                         165000000.0   270000000.0   \n",
       "...                                            ...           ...   \n",
       "MSFT Minority Interest                         0.0           0.0   \n",
       "     Total Liabilities and Equity    70815000000.0 69597000000.0   \n",
       "     Total Investments               32900000000.0 27447000000.0   \n",
       "     Total Debt                                0.0           0.0   \n",
       "     Net Debt                        -4851000000.0 -6714000000.0   \n",
       "\n",
       "date                                          2007           2008  \\\n",
       "AAPL Cash and Cash Equivalents        9352000000.0  11875000000.0   \n",
       "     Short Term Investments           6034000000.0  12615000000.0   \n",
       "     Cash and Short Term Investments 15386000000.0  24490000000.0   \n",
       "     Accounts Receivable              4029000000.0   2422000000.0   \n",
       "     Inventory                         346000000.0    509000000.0   \n",
       "...                                            ...            ...   \n",
       "MSFT Minority Interest                         0.0            0.0   \n",
       "     Total Liabilities and Equity    63171000000.0  72793000000.0   \n",
       "     Total Investments               17300000000.0  19911000000.0   \n",
       "     Total Debt                                0.0            0.0   \n",
       "     Net Debt                        -6111000000.0 -10339000000.0   \n",
       "\n",
       "date                                          2009          2010  \\\n",
       "AAPL Cash and Cash Equivalents        5263000000.0 11261000000.0   \n",
       "     Short Term Investments          18201000000.0 14359000000.0   \n",
       "     Cash and Short Term Investments 23464000000.0 25620000000.0   \n",
       "     Accounts Receivable              3361000000.0  9924000000.0   \n",
       "     Inventory                         455000000.0  1051000000.0   \n",
       "...                                            ...           ...   \n",
       "MSFT Minority Interest                         0.0           0.0   \n",
       "     Total Liabilities and Equity    77888000000.0 86113000000.0   \n",
       "     Total Investments               30304000000.0 39037000000.0   \n",
       "     Total Debt                       5746000000.0  5939000000.0   \n",
       "     Net Debt                         -330000000.0   434000000.0   \n",
       "\n",
       "date                                           2011           2012  \\\n",
       "AAPL Cash and Cash Equivalents         9815000000.0  10746000000.0   \n",
       "     Short Term Investments           16137000000.0  18383000000.0   \n",
       "     Cash and Short Term Investments  25952000000.0  29129000000.0   \n",
       "     Accounts Receivable              11717000000.0  18692000000.0   \n",
       "     Inventory                          776000000.0    791000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    108704000000.0 121271000000.0   \n",
       "     Total Investments                54027000000.0  65878000000.0   \n",
       "     Total Debt                       11921000000.0  11944000000.0   \n",
       "     Net Debt                          2311000000.0   5006000000.0   \n",
       "\n",
       "date                                           2013           2014  \\\n",
       "AAPL Cash and Cash Equivalents        14259000000.0  13844000000.0   \n",
       "     Short Term Investments           26287000000.0  11233000000.0   \n",
       "     Cash and Short Term Investments  40546000000.0  25077000000.0   \n",
       "     Accounts Receivable              20641000000.0  27219000000.0   \n",
       "     Inventory                         1764000000.0   2111000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    142431000000.0 172384000000.0   \n",
       "     Total Investments                84062000000.0  91637000000.0   \n",
       "     Total Debt                       15600000000.0  22645000000.0   \n",
       "     Net Debt                         11796000000.0  13976000000.0   \n",
       "\n",
       "date                                           2015           2016  \\\n",
       "AAPL Cash and Cash Equivalents        21120000000.0  20484000000.0   \n",
       "     Short Term Investments           20481000000.0  46671000000.0   \n",
       "     Cash and Short Term Investments  41601000000.0  67155000000.0   \n",
       "     Accounts Receivable              30343000000.0  29299000000.0   \n",
       "     Inventory                         2349000000.0   2132000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    176223000000.0 193694000000.0   \n",
       "     Total Investments               102984000000.0 117161000000.0   \n",
       "     Total Debt                       35292000000.0  53687000000.0   \n",
       "     Net Debt                         29697000000.0  47177000000.0   \n",
       "\n",
       "date                                           2017           2018  \\\n",
       "AAPL Cash and Cash Equivalents        20289000000.0  25913000000.0   \n",
       "     Short Term Investments           53892000000.0  40388000000.0   \n",
       "     Cash and Short Term Investments  74181000000.0  66301000000.0   \n",
       "     Accounts Receivable              35673000000.0  48995000000.0   \n",
       "     Inventory                         4855000000.0   3956000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    241086000000.0 258848000000.0   \n",
       "     Total Investments               131341000000.0 123684000000.0   \n",
       "     Total Debt                       86194000000.0  81808000000.0   \n",
       "     Net Debt                         78531000000.0  69862000000.0   \n",
       "\n",
       "date                                           2019           2020  \\\n",
       "AAPL Cash and Cash Equivalents        48844000000.0  38016000000.0   \n",
       "     Short Term Investments           51713000000.0  52927000000.0   \n",
       "     Cash and Short Term Investments 100557000000.0  90943000000.0   \n",
       "     Accounts Receivable              45804000000.0  37445000000.0   \n",
       "     Inventory                         4106000000.0   4061000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    286556000000.0 301311000000.0   \n",
       "     Total Investments               125112000000.0 125916000000.0   \n",
       "     Total Debt                       78366000000.0  70998000000.0   \n",
       "     Net Debt                         67010000000.0  57422000000.0   \n",
       "\n",
       "date                                           2021           2022  \\\n",
       "AAPL Cash and Cash Equivalents        34940000000.0  23646000000.0   \n",
       "     Short Term Investments           27699000000.0  24658000000.0   \n",
       "     Cash and Short Term Investments  62639000000.0  48304000000.0   \n",
       "     Accounts Receivable              51506000000.0  60932000000.0   \n",
       "     Inventory                         6580000000.0   4946000000.0   \n",
       "...                                             ...            ...   \n",
       "MSFT Minority Interest                          0.0            0.0   \n",
       "     Total Liabilities and Equity    333779000000.0 364840000000.0   \n",
       "     Total Investments               122094000000.0  97709000000.0   \n",
       "     Total Debt                       67775000000.0  61270000000.0   \n",
       "     Net Debt                         53551000000.0  47339000000.0   \n",
       "\n",
       "date                                           2023  \n",
       "AAPL Cash and Cash Equivalents        29965000000.0  \n",
       "     Short Term Investments           31590000000.0  \n",
       "     Cash and Short Term Investments  61555000000.0  \n",
       "     Accounts Receivable              60985000000.0  \n",
       "     Inventory                         6331000000.0  \n",
       "...                                             ...  \n",
       "MSFT Minority Interest                          0.0  \n",
       "     Total Liabilities and Equity    411976000000.0  \n",
       "     Total Investments                86437000000.0  \n",
       "     Total Debt                       59965000000.0  \n",
       "     Net Debt                         25261000000.0  \n",
       "\n",
       "[172 rows x 19 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Obtain the balance sheets from each company\n",
    "companies.get_balance_sheet_statement()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "285b58b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining income data: 100%|██████████| 4/4 [00:00<00:00,  9.57it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>Revenue</th>\n",
       "      <td>13931000000.0</td>\n",
       "      <td>19315000000.0</td>\n",
       "      <td>24006000000.0</td>\n",
       "      <td>32479000000.0</td>\n",
       "      <td>36537000000.0</td>\n",
       "      <td>65225000000.0</td>\n",
       "      <td>108249000000.0</td>\n",
       "      <td>156508000000.0</td>\n",
       "      <td>170910000000.0</td>\n",
       "      <td>182795000000.0</td>\n",
       "      <td>233715000000.0</td>\n",
       "      <td>215639000000.0</td>\n",
       "      <td>229234000000.0</td>\n",
       "      <td>265595000000.0</td>\n",
       "      <td>260174000000.0</td>\n",
       "      <td>274515000000.0</td>\n",
       "      <td>365817000000.0</td>\n",
       "      <td>394328000000.0</td>\n",
       "      <td>383285000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cost of Goods Sold</th>\n",
       "      <td>9888000000.0</td>\n",
       "      <td>13717000000.0</td>\n",
       "      <td>15852000000.0</td>\n",
       "      <td>21334000000.0</td>\n",
       "      <td>23397000000.0</td>\n",
       "      <td>39541000000.0</td>\n",
       "      <td>64431000000.0</td>\n",
       "      <td>87846000000.0</td>\n",
       "      <td>106606000000.0</td>\n",
       "      <td>112258000000.0</td>\n",
       "      <td>140089000000.0</td>\n",
       "      <td>131376000000.0</td>\n",
       "      <td>141048000000.0</td>\n",
       "      <td>163756000000.0</td>\n",
       "      <td>161782000000.0</td>\n",
       "      <td>169559000000.0</td>\n",
       "      <td>212981000000.0</td>\n",
       "      <td>223546000000.0</td>\n",
       "      <td>214137000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross Profit</th>\n",
       "      <td>4043000000.0</td>\n",
       "      <td>5598000000.0</td>\n",
       "      <td>8154000000.0</td>\n",
       "      <td>11145000000.0</td>\n",
       "      <td>13140000000.0</td>\n",
       "      <td>25684000000.0</td>\n",
       "      <td>43818000000.0</td>\n",
       "      <td>68662000000.0</td>\n",
       "      <td>64304000000.0</td>\n",
       "      <td>70537000000.0</td>\n",
       "      <td>93626000000.0</td>\n",
       "      <td>84263000000.0</td>\n",
       "      <td>88186000000.0</td>\n",
       "      <td>101839000000.0</td>\n",
       "      <td>98392000000.0</td>\n",
       "      <td>104956000000.0</td>\n",
       "      <td>152836000000.0</td>\n",
       "      <td>170782000000.0</td>\n",
       "      <td>169148000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross Profit Ratio</th>\n",
       "      <td>0.2902</td>\n",
       "      <td>0.2898</td>\n",
       "      <td>0.3397</td>\n",
       "      <td>0.3431</td>\n",
       "      <td>0.3596</td>\n",
       "      <td>0.3938</td>\n",
       "      <td>0.4048</td>\n",
       "      <td>0.4387</td>\n",
       "      <td>0.3762</td>\n",
       "      <td>0.3859</td>\n",
       "      <td>0.4006</td>\n",
       "      <td>0.3908</td>\n",
       "      <td>0.3847</td>\n",
       "      <td>0.3834</td>\n",
       "      <td>0.3782</td>\n",
       "      <td>0.3823</td>\n",
       "      <td>0.4178</td>\n",
       "      <td>0.4331</td>\n",
       "      <td>0.4413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Research and Development Expenses</th>\n",
       "      <td>534000000.0</td>\n",
       "      <td>712000000.0</td>\n",
       "      <td>782000000.0</td>\n",
       "      <td>1109000000.0</td>\n",
       "      <td>1333000000.0</td>\n",
       "      <td>1782000000.0</td>\n",
       "      <td>2429000000.0</td>\n",
       "      <td>3381000000.0</td>\n",
       "      <td>4475000000.0</td>\n",
       "      <td>6041000000.0</td>\n",
       "      <td>8067000000.0</td>\n",
       "      <td>10045000000.0</td>\n",
       "      <td>11581000000.0</td>\n",
       "      <td>14236000000.0</td>\n",
       "      <td>16217000000.0</td>\n",
       "      <td>18752000000.0</td>\n",
       "      <td>21914000000.0</td>\n",
       "      <td>26251000000.0</td>\n",
       "      <td>29915000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th>Net Income Ratio</th>\n",
       "      <td>0.308</td>\n",
       "      <td>0.2845</td>\n",
       "      <td>0.2751</td>\n",
       "      <td>0.2926</td>\n",
       "      <td>0.2493</td>\n",
       "      <td>0.3002</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.2303</td>\n",
       "      <td>0.2808</td>\n",
       "      <td>0.2542</td>\n",
       "      <td>0.1303</td>\n",
       "      <td>0.2253</td>\n",
       "      <td>0.2639</td>\n",
       "      <td>0.1502</td>\n",
       "      <td>0.3118</td>\n",
       "      <td>0.3096</td>\n",
       "      <td>0.3645</td>\n",
       "      <td>0.3669</td>\n",
       "      <td>0.3415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPS</th>\n",
       "      <td>1.13</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.63</td>\n",
       "      <td>2.13</td>\n",
       "      <td>2.73</td>\n",
       "      <td>2.02</td>\n",
       "      <td>2.61</td>\n",
       "      <td>2.66</td>\n",
       "      <td>1.49</td>\n",
       "      <td>2.12</td>\n",
       "      <td>2.74</td>\n",
       "      <td>2.15</td>\n",
       "      <td>5.11</td>\n",
       "      <td>5.82</td>\n",
       "      <td>8.12</td>\n",
       "      <td>9.7</td>\n",
       "      <td>9.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPS Diluted</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.87</td>\n",
       "      <td>1.62</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.69</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.63</td>\n",
       "      <td>1.48</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.71</td>\n",
       "      <td>2.13</td>\n",
       "      <td>5.06</td>\n",
       "      <td>5.76</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.65</td>\n",
       "      <td>9.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weighted Average Shares</th>\n",
       "      <td>10839000000.0</td>\n",
       "      <td>10438000000.0</td>\n",
       "      <td>9742000000.0</td>\n",
       "      <td>9328000000.0</td>\n",
       "      <td>8945000000.0</td>\n",
       "      <td>8813000000.0</td>\n",
       "      <td>8490000000.0</td>\n",
       "      <td>8396000000.0</td>\n",
       "      <td>8375000000.0</td>\n",
       "      <td>8299000000.0</td>\n",
       "      <td>8177000000.0</td>\n",
       "      <td>7925000000.0</td>\n",
       "      <td>7746000000.0</td>\n",
       "      <td>7700000000.0</td>\n",
       "      <td>7673000000.0</td>\n",
       "      <td>7610000000.0</td>\n",
       "      <td>7547000000.0</td>\n",
       "      <td>7496000000.0</td>\n",
       "      <td>7446000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weighted Average Shares Diluted</th>\n",
       "      <td>10906000000.0</td>\n",
       "      <td>10531000000.0</td>\n",
       "      <td>9886000000.0</td>\n",
       "      <td>9470000000.0</td>\n",
       "      <td>8996000000.0</td>\n",
       "      <td>8927000000.0</td>\n",
       "      <td>8593000000.0</td>\n",
       "      <td>8506000000.0</td>\n",
       "      <td>8470000000.0</td>\n",
       "      <td>8399000000.0</td>\n",
       "      <td>8254000000.0</td>\n",
       "      <td>8013000000.0</td>\n",
       "      <td>7832000000.0</td>\n",
       "      <td>7794000000.0</td>\n",
       "      <td>7753000000.0</td>\n",
       "      <td>7683000000.0</td>\n",
       "      <td>7608000000.0</td>\n",
       "      <td>7540000000.0</td>\n",
       "      <td>7472000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                            2005          2006  \\\n",
       "AAPL Revenue                           13931000000.0 19315000000.0   \n",
       "     Cost of Goods Sold                 9888000000.0 13717000000.0   \n",
       "     Gross Profit                       4043000000.0  5598000000.0   \n",
       "     Gross Profit Ratio                       0.2902        0.2898   \n",
       "     Research and Development Expenses   534000000.0   712000000.0   \n",
       "...                                              ...           ...   \n",
       "MSFT Net Income Ratio                          0.308        0.2845   \n",
       "     EPS                                        1.13          1.21   \n",
       "     EPS Diluted                                1.12           1.2   \n",
       "     Weighted Average Shares           10839000000.0 10438000000.0   \n",
       "     Weighted Average Shares Diluted   10906000000.0 10531000000.0   \n",
       "\n",
       "date                                            2007          2008  \\\n",
       "AAPL Revenue                           24006000000.0 32479000000.0   \n",
       "     Cost of Goods Sold                15852000000.0 21334000000.0   \n",
       "     Gross Profit                       8154000000.0 11145000000.0   \n",
       "     Gross Profit Ratio                       0.3397        0.3431   \n",
       "     Research and Development Expenses   782000000.0  1109000000.0   \n",
       "...                                              ...           ...   \n",
       "MSFT Net Income Ratio                         0.2751        0.2926   \n",
       "     EPS                                        1.44           1.9   \n",
       "     EPS Diluted                                1.42          1.87   \n",
       "     Weighted Average Shares            9742000000.0  9328000000.0   \n",
       "     Weighted Average Shares Diluted    9886000000.0  9470000000.0   \n",
       "\n",
       "date                                            2009          2010  \\\n",
       "AAPL Revenue                           36537000000.0 65225000000.0   \n",
       "     Cost of Goods Sold                23397000000.0 39541000000.0   \n",
       "     Gross Profit                      13140000000.0 25684000000.0   \n",
       "     Gross Profit Ratio                       0.3596        0.3938   \n",
       "     Research and Development Expenses  1333000000.0  1782000000.0   \n",
       "...                                              ...           ...   \n",
       "MSFT Net Income Ratio                         0.2493        0.3002   \n",
       "     EPS                                        1.63          2.13   \n",
       "     EPS Diluted                                1.62           2.1   \n",
       "     Weighted Average Shares            8945000000.0  8813000000.0   \n",
       "     Weighted Average Shares Diluted    8996000000.0  8927000000.0   \n",
       "\n",
       "date                                             2011           2012  \\\n",
       "AAPL Revenue                           108249000000.0 156508000000.0   \n",
       "     Cost of Goods Sold                 64431000000.0  87846000000.0   \n",
       "     Gross Profit                       43818000000.0  68662000000.0   \n",
       "     Gross Profit Ratio                        0.4048         0.4387   \n",
       "     Research and Development Expenses   2429000000.0   3381000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                           0.331         0.2303   \n",
       "     EPS                                         2.73           2.02   \n",
       "     EPS Diluted                                 2.69            2.0   \n",
       "     Weighted Average Shares             8490000000.0   8396000000.0   \n",
       "     Weighted Average Shares Diluted     8593000000.0   8506000000.0   \n",
       "\n",
       "date                                             2013           2014  \\\n",
       "AAPL Revenue                           170910000000.0 182795000000.0   \n",
       "     Cost of Goods Sold                106606000000.0 112258000000.0   \n",
       "     Gross Profit                       64304000000.0  70537000000.0   \n",
       "     Gross Profit Ratio                        0.3762         0.3859   \n",
       "     Research and Development Expenses   4475000000.0   6041000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                          0.2808         0.2542   \n",
       "     EPS                                         2.61           2.66   \n",
       "     EPS Diluted                                 2.58           2.63   \n",
       "     Weighted Average Shares             8375000000.0   8299000000.0   \n",
       "     Weighted Average Shares Diluted     8470000000.0   8399000000.0   \n",
       "\n",
       "date                                             2015           2016  \\\n",
       "AAPL Revenue                           233715000000.0 215639000000.0   \n",
       "     Cost of Goods Sold                140089000000.0 131376000000.0   \n",
       "     Gross Profit                       93626000000.0  84263000000.0   \n",
       "     Gross Profit Ratio                        0.4006         0.3908   \n",
       "     Research and Development Expenses   8067000000.0  10045000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                          0.1303         0.2253   \n",
       "     EPS                                         1.49           2.12   \n",
       "     EPS Diluted                                 1.48            2.1   \n",
       "     Weighted Average Shares             8177000000.0   7925000000.0   \n",
       "     Weighted Average Shares Diluted     8254000000.0   8013000000.0   \n",
       "\n",
       "date                                             2017           2018  \\\n",
       "AAPL Revenue                           229234000000.0 265595000000.0   \n",
       "     Cost of Goods Sold                141048000000.0 163756000000.0   \n",
       "     Gross Profit                       88186000000.0 101839000000.0   \n",
       "     Gross Profit Ratio                        0.3847         0.3834   \n",
       "     Research and Development Expenses  11581000000.0  14236000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                          0.2639         0.1502   \n",
       "     EPS                                         2.74           2.15   \n",
       "     EPS Diluted                                 2.71           2.13   \n",
       "     Weighted Average Shares             7746000000.0   7700000000.0   \n",
       "     Weighted Average Shares Diluted     7832000000.0   7794000000.0   \n",
       "\n",
       "date                                             2019           2020  \\\n",
       "AAPL Revenue                           260174000000.0 274515000000.0   \n",
       "     Cost of Goods Sold                161782000000.0 169559000000.0   \n",
       "     Gross Profit                       98392000000.0 104956000000.0   \n",
       "     Gross Profit Ratio                        0.3782         0.3823   \n",
       "     Research and Development Expenses  16217000000.0  18752000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                          0.3118         0.3096   \n",
       "     EPS                                         5.11           5.82   \n",
       "     EPS Diluted                                 5.06           5.76   \n",
       "     Weighted Average Shares             7673000000.0   7610000000.0   \n",
       "     Weighted Average Shares Diluted     7753000000.0   7683000000.0   \n",
       "\n",
       "date                                             2021           2022  \\\n",
       "AAPL Revenue                           365817000000.0 394328000000.0   \n",
       "     Cost of Goods Sold                212981000000.0 223546000000.0   \n",
       "     Gross Profit                      152836000000.0 170782000000.0   \n",
       "     Gross Profit Ratio                        0.4178         0.4331   \n",
       "     Research and Development Expenses  21914000000.0  26251000000.0   \n",
       "...                                               ...            ...   \n",
       "MSFT Net Income Ratio                          0.3645         0.3669   \n",
       "     EPS                                         8.12            9.7   \n",
       "     EPS Diluted                                 8.05           9.65   \n",
       "     Weighted Average Shares             7547000000.0   7496000000.0   \n",
       "     Weighted Average Shares Diluted     7608000000.0   7540000000.0   \n",
       "\n",
       "date                                             2023  \n",
       "AAPL Revenue                           383285000000.0  \n",
       "     Cost of Goods Sold                214137000000.0  \n",
       "     Gross Profit                      169148000000.0  \n",
       "     Gross Profit Ratio                        0.4413  \n",
       "     Research and Development Expenses  29915000000.0  \n",
       "...                                               ...  \n",
       "MSFT Net Income Ratio                          0.3415  \n",
       "     EPS                                         9.72  \n",
       "     EPS Diluted                                 9.68  \n",
       "     Weighted Average Shares             7446000000.0  \n",
       "     Weighted Average Shares Diluted     7472000000.0  \n",
       "\n",
       "[112 rows x 19 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Obtain the income statements from each company\n",
    "companies.get_income_statement()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2d747d7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining cashflow data: 100%|██████████| 4/4 [00:00<00:00,  9.43it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>Net Income</th>\n",
       "      <td>1335000000.0</td>\n",
       "      <td>1989000000.0</td>\n",
       "      <td>3496000000.0</td>\n",
       "      <td>4834000000.0</td>\n",
       "      <td>5704000000.0</td>\n",
       "      <td>14013000000.0</td>\n",
       "      <td>25922000000.0</td>\n",
       "      <td>41733000000.0</td>\n",
       "      <td>37037000000.0</td>\n",
       "      <td>39510000000.0</td>\n",
       "      <td>53394000000.0</td>\n",
       "      <td>45687000000.0</td>\n",
       "      <td>48351000000.0</td>\n",
       "      <td>59531000000.0</td>\n",
       "      <td>55256000000.0</td>\n",
       "      <td>57411000000.0</td>\n",
       "      <td>94680000000.0</td>\n",
       "      <td>99803000000.0</td>\n",
       "      <td>96995000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Depreciation and Amortization</th>\n",
       "      <td>179000000.0</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>317000000.0</td>\n",
       "      <td>473000000.0</td>\n",
       "      <td>703000000.0</td>\n",
       "      <td>1027000000.0</td>\n",
       "      <td>1814000000.0</td>\n",
       "      <td>3277000000.0</td>\n",
       "      <td>6757000000.0</td>\n",
       "      <td>7946000000.0</td>\n",
       "      <td>11257000000.0</td>\n",
       "      <td>10505000000.0</td>\n",
       "      <td>10157000000.0</td>\n",
       "      <td>10903000000.0</td>\n",
       "      <td>12547000000.0</td>\n",
       "      <td>11056000000.0</td>\n",
       "      <td>11284000000.0</td>\n",
       "      <td>11104000000.0</td>\n",
       "      <td>11519000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deferred Income Tax</th>\n",
       "      <td>505000000.0</td>\n",
       "      <td>53000000.0</td>\n",
       "      <td>78000000.0</td>\n",
       "      <td>-368000000.0</td>\n",
       "      <td>-519000000.0</td>\n",
       "      <td>1440000000.0</td>\n",
       "      <td>2868000000.0</td>\n",
       "      <td>4405000000.0</td>\n",
       "      <td>1141000000.0</td>\n",
       "      <td>2347000000.0</td>\n",
       "      <td>1382000000.0</td>\n",
       "      <td>4938000000.0</td>\n",
       "      <td>5966000000.0</td>\n",
       "      <td>-32590000000.0</td>\n",
       "      <td>-340000000.0</td>\n",
       "      <td>-215000000.0</td>\n",
       "      <td>-4774000000.0</td>\n",
       "      <td>895000000.0</td>\n",
       "      <td>5195000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stock Based Compensation</th>\n",
       "      <td>42000000.0</td>\n",
       "      <td>163000000.0</td>\n",
       "      <td>242000000.0</td>\n",
       "      <td>516000000.0</td>\n",
       "      <td>710000000.0</td>\n",
       "      <td>879000000.0</td>\n",
       "      <td>1168000000.0</td>\n",
       "      <td>1740000000.0</td>\n",
       "      <td>2253000000.0</td>\n",
       "      <td>2863000000.0</td>\n",
       "      <td>3586000000.0</td>\n",
       "      <td>4210000000.0</td>\n",
       "      <td>4840000000.0</td>\n",
       "      <td>5340000000.0</td>\n",
       "      <td>6068000000.0</td>\n",
       "      <td>6829000000.0</td>\n",
       "      <td>7906000000.0</td>\n",
       "      <td>9038000000.0</td>\n",
       "      <td>10833000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Change in Working Capital</th>\n",
       "      <td>465000000.0</td>\n",
       "      <td>-221000000.0</td>\n",
       "      <td>1325000000.0</td>\n",
       "      <td>4119000000.0</td>\n",
       "      <td>3535000000.0</td>\n",
       "      <td>1212000000.0</td>\n",
       "      <td>5757000000.0</td>\n",
       "      <td>-299000000.0</td>\n",
       "      <td>6478000000.0</td>\n",
       "      <td>7047000000.0</td>\n",
       "      <td>11647000000.0</td>\n",
       "      <td>484000000.0</td>\n",
       "      <td>-5550000000.0</td>\n",
       "      <td>34694000000.0</td>\n",
       "      <td>-3488000000.0</td>\n",
       "      <td>5690000000.0</td>\n",
       "      <td>-4911000000.0</td>\n",
       "      <td>1200000000.0</td>\n",
       "      <td>-6577000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th>Cash End of Period</th>\n",
       "      <td>4851000000.0</td>\n",
       "      <td>6714000000.0</td>\n",
       "      <td>6111000000.0</td>\n",
       "      <td>10339000000.0</td>\n",
       "      <td>6076000000.0</td>\n",
       "      <td>5505000000.0</td>\n",
       "      <td>9610000000.0</td>\n",
       "      <td>6938000000.0</td>\n",
       "      <td>3804000000.0</td>\n",
       "      <td>8669000000.0</td>\n",
       "      <td>5595000000.0</td>\n",
       "      <td>6510000000.0</td>\n",
       "      <td>7663000000.0</td>\n",
       "      <td>11946000000.0</td>\n",
       "      <td>11356000000.0</td>\n",
       "      <td>13576000000.0</td>\n",
       "      <td>14224000000.0</td>\n",
       "      <td>13931000000.0</td>\n",
       "      <td>34704000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cash Beginning of Period</th>\n",
       "      <td>14304000000.0</td>\n",
       "      <td>4851000000.0</td>\n",
       "      <td>6714000000.0</td>\n",
       "      <td>6111000000.0</td>\n",
       "      <td>10339000000.0</td>\n",
       "      <td>6076000000.0</td>\n",
       "      <td>5505000000.0</td>\n",
       "      <td>9610000000.0</td>\n",
       "      <td>6938000000.0</td>\n",
       "      <td>3804000000.0</td>\n",
       "      <td>8669000000.0</td>\n",
       "      <td>5595000000.0</td>\n",
       "      <td>6510000000.0</td>\n",
       "      <td>7663000000.0</td>\n",
       "      <td>11946000000.0</td>\n",
       "      <td>11356000000.0</td>\n",
       "      <td>13576000000.0</td>\n",
       "      <td>14224000000.0</td>\n",
       "      <td>13931000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Operating Cash Flow</th>\n",
       "      <td>16605000000.0</td>\n",
       "      <td>14404000000.0</td>\n",
       "      <td>17796000000.0</td>\n",
       "      <td>21612000000.0</td>\n",
       "      <td>19037000000.0</td>\n",
       "      <td>24073000000.0</td>\n",
       "      <td>26994000000.0</td>\n",
       "      <td>31626000000.0</td>\n",
       "      <td>28833000000.0</td>\n",
       "      <td>32231000000.0</td>\n",
       "      <td>29080000000.0</td>\n",
       "      <td>33325000000.0</td>\n",
       "      <td>39507000000.0</td>\n",
       "      <td>43884000000.0</td>\n",
       "      <td>52185000000.0</td>\n",
       "      <td>60675000000.0</td>\n",
       "      <td>76740000000.0</td>\n",
       "      <td>89035000000.0</td>\n",
       "      <td>87582000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Expenditure</th>\n",
       "      <td>-812000000.0</td>\n",
       "      <td>-1578000000.0</td>\n",
       "      <td>-2264000000.0</td>\n",
       "      <td>-3182000000.0</td>\n",
       "      <td>-3119000000.0</td>\n",
       "      <td>-1977000000.0</td>\n",
       "      <td>-2355000000.0</td>\n",
       "      <td>-2305000000.0</td>\n",
       "      <td>-4257000000.0</td>\n",
       "      <td>-5485000000.0</td>\n",
       "      <td>-5944000000.0</td>\n",
       "      <td>-8343000000.0</td>\n",
       "      <td>-8129000000.0</td>\n",
       "      <td>-11632000000.0</td>\n",
       "      <td>-13925000000.0</td>\n",
       "      <td>-15441000000.0</td>\n",
       "      <td>-20622000000.0</td>\n",
       "      <td>-23886000000.0</td>\n",
       "      <td>-28107000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Cash Flow</th>\n",
       "      <td>15793000000.0</td>\n",
       "      <td>12826000000.0</td>\n",
       "      <td>15532000000.0</td>\n",
       "      <td>18430000000.0</td>\n",
       "      <td>15918000000.0</td>\n",
       "      <td>22096000000.0</td>\n",
       "      <td>24639000000.0</td>\n",
       "      <td>29321000000.0</td>\n",
       "      <td>24576000000.0</td>\n",
       "      <td>26746000000.0</td>\n",
       "      <td>23136000000.0</td>\n",
       "      <td>24982000000.0</td>\n",
       "      <td>31378000000.0</td>\n",
       "      <td>32252000000.0</td>\n",
       "      <td>38260000000.0</td>\n",
       "      <td>45234000000.0</td>\n",
       "      <td>56118000000.0</td>\n",
       "      <td>65149000000.0</td>\n",
       "      <td>59475000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                        2005          2006          2007  \\\n",
       "AAPL Net Income                     1335000000.0  1989000000.0  3496000000.0   \n",
       "     Depreciation and Amortization   179000000.0   225000000.0   317000000.0   \n",
       "     Deferred Income Tax             505000000.0    53000000.0    78000000.0   \n",
       "     Stock Based Compensation         42000000.0   163000000.0   242000000.0   \n",
       "     Change in Working Capital       465000000.0  -221000000.0  1325000000.0   \n",
       "...                                          ...           ...           ...   \n",
       "MSFT Cash End of Period             4851000000.0  6714000000.0  6111000000.0   \n",
       "     Cash Beginning of Period      14304000000.0  4851000000.0  6714000000.0   \n",
       "     Operating Cash Flow           16605000000.0 14404000000.0 17796000000.0   \n",
       "     Capital Expenditure            -812000000.0 -1578000000.0 -2264000000.0   \n",
       "     Free Cash Flow                15793000000.0 12826000000.0 15532000000.0   \n",
       "\n",
       "date                                        2008          2009          2010  \\\n",
       "AAPL Net Income                     4834000000.0  5704000000.0 14013000000.0   \n",
       "     Depreciation and Amortization   473000000.0   703000000.0  1027000000.0   \n",
       "     Deferred Income Tax            -368000000.0  -519000000.0  1440000000.0   \n",
       "     Stock Based Compensation        516000000.0   710000000.0   879000000.0   \n",
       "     Change in Working Capital      4119000000.0  3535000000.0  1212000000.0   \n",
       "...                                          ...           ...           ...   \n",
       "MSFT Cash End of Period            10339000000.0  6076000000.0  5505000000.0   \n",
       "     Cash Beginning of Period       6111000000.0 10339000000.0  6076000000.0   \n",
       "     Operating Cash Flow           21612000000.0 19037000000.0 24073000000.0   \n",
       "     Capital Expenditure           -3182000000.0 -3119000000.0 -1977000000.0   \n",
       "     Free Cash Flow                18430000000.0 15918000000.0 22096000000.0   \n",
       "\n",
       "date                                        2011          2012          2013  \\\n",
       "AAPL Net Income                    25922000000.0 41733000000.0 37037000000.0   \n",
       "     Depreciation and Amortization  1814000000.0  3277000000.0  6757000000.0   \n",
       "     Deferred Income Tax            2868000000.0  4405000000.0  1141000000.0   \n",
       "     Stock Based Compensation       1168000000.0  1740000000.0  2253000000.0   \n",
       "     Change in Working Capital      5757000000.0  -299000000.0  6478000000.0   \n",
       "...                                          ...           ...           ...   \n",
       "MSFT Cash End of Period             9610000000.0  6938000000.0  3804000000.0   \n",
       "     Cash Beginning of Period       5505000000.0  9610000000.0  6938000000.0   \n",
       "     Operating Cash Flow           26994000000.0 31626000000.0 28833000000.0   \n",
       "     Capital Expenditure           -2355000000.0 -2305000000.0 -4257000000.0   \n",
       "     Free Cash Flow                24639000000.0 29321000000.0 24576000000.0   \n",
       "\n",
       "date                                        2014          2015          2016  \\\n",
       "AAPL Net Income                    39510000000.0 53394000000.0 45687000000.0   \n",
       "     Depreciation and Amortization  7946000000.0 11257000000.0 10505000000.0   \n",
       "     Deferred Income Tax            2347000000.0  1382000000.0  4938000000.0   \n",
       "     Stock Based Compensation       2863000000.0  3586000000.0  4210000000.0   \n",
       "     Change in Working Capital      7047000000.0 11647000000.0   484000000.0   \n",
       "...                                          ...           ...           ...   \n",
       "MSFT Cash End of Period             8669000000.0  5595000000.0  6510000000.0   \n",
       "     Cash Beginning of Period       3804000000.0  8669000000.0  5595000000.0   \n",
       "     Operating Cash Flow           32231000000.0 29080000000.0 33325000000.0   \n",
       "     Capital Expenditure           -5485000000.0 -5944000000.0 -8343000000.0   \n",
       "     Free Cash Flow                26746000000.0 23136000000.0 24982000000.0   \n",
       "\n",
       "date                                        2017           2018  \\\n",
       "AAPL Net Income                    48351000000.0  59531000000.0   \n",
       "     Depreciation and Amortization 10157000000.0  10903000000.0   \n",
       "     Deferred Income Tax            5966000000.0 -32590000000.0   \n",
       "     Stock Based Compensation       4840000000.0   5340000000.0   \n",
       "     Change in Working Capital     -5550000000.0  34694000000.0   \n",
       "...                                          ...            ...   \n",
       "MSFT Cash End of Period             7663000000.0  11946000000.0   \n",
       "     Cash Beginning of Period       6510000000.0   7663000000.0   \n",
       "     Operating Cash Flow           39507000000.0  43884000000.0   \n",
       "     Capital Expenditure           -8129000000.0 -11632000000.0   \n",
       "     Free Cash Flow                31378000000.0  32252000000.0   \n",
       "\n",
       "date                                         2019           2020  \\\n",
       "AAPL Net Income                     55256000000.0  57411000000.0   \n",
       "     Depreciation and Amortization  12547000000.0  11056000000.0   \n",
       "     Deferred Income Tax             -340000000.0   -215000000.0   \n",
       "     Stock Based Compensation        6068000000.0   6829000000.0   \n",
       "     Change in Working Capital      -3488000000.0   5690000000.0   \n",
       "...                                           ...            ...   \n",
       "MSFT Cash End of Period             11356000000.0  13576000000.0   \n",
       "     Cash Beginning of Period       11946000000.0  11356000000.0   \n",
       "     Operating Cash Flow            52185000000.0  60675000000.0   \n",
       "     Capital Expenditure           -13925000000.0 -15441000000.0   \n",
       "     Free Cash Flow                 38260000000.0  45234000000.0   \n",
       "\n",
       "date                                         2021           2022  \\\n",
       "AAPL Net Income                     94680000000.0  99803000000.0   \n",
       "     Depreciation and Amortization  11284000000.0  11104000000.0   \n",
       "     Deferred Income Tax            -4774000000.0    895000000.0   \n",
       "     Stock Based Compensation        7906000000.0   9038000000.0   \n",
       "     Change in Working Capital      -4911000000.0   1200000000.0   \n",
       "...                                           ...            ...   \n",
       "MSFT Cash End of Period             14224000000.0  13931000000.0   \n",
       "     Cash Beginning of Period       13576000000.0  14224000000.0   \n",
       "     Operating Cash Flow            76740000000.0  89035000000.0   \n",
       "     Capital Expenditure           -20622000000.0 -23886000000.0   \n",
       "     Free Cash Flow                 56118000000.0  65149000000.0   \n",
       "\n",
       "date                                         2023  \n",
       "AAPL Net Income                     96995000000.0  \n",
       "     Depreciation and Amortization  11519000000.0  \n",
       "     Deferred Income Tax             5195000000.0  \n",
       "     Stock Based Compensation       10833000000.0  \n",
       "     Change in Working Capital      -6577000000.0  \n",
       "...                                           ...  \n",
       "MSFT Cash End of Period             34704000000.0  \n",
       "     Cash Beginning of Period       13931000000.0  \n",
       "     Operating Cash Flow            87582000000.0  \n",
       "     Capital Expenditure           -28107000000.0  \n",
       "     Free Cash Flow                 59475000000.0  \n",
       "\n",
       "[120 rows x 19 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Obtain the cash flow statements from each company\n",
    "companies.get_cash_flow_statement()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "644fd5e1",
   "metadata": {},
   "source": [
    "With this structure, it is easy to select and plot specific companies, financial statement items and/or years. See some examples below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "34b4b250",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cash and Cash Equivalents</th>\n",
       "      <td>1013000000.0</td>\n",
       "      <td>1022000000.0</td>\n",
       "      <td>2539000000.0</td>\n",
       "      <td>2769000000.0</td>\n",
       "      <td>3444000000.0</td>\n",
       "      <td>3777000000.0</td>\n",
       "      <td>5269000000.0</td>\n",
       "      <td>8084000000.0</td>\n",
       "      <td>8658000000.0</td>\n",
       "      <td>14557000000.0</td>\n",
       "      <td>15890000000.0</td>\n",
       "      <td>19934000000.0</td>\n",
       "      <td>21857000000.0</td>\n",
       "      <td>32176000000.0</td>\n",
       "      <td>36413000000.0</td>\n",
       "      <td>42379000000.0</td>\n",
       "      <td>36480000000.0</td>\n",
       "      <td>54253000000.0</td>\n",
       "      <td>73890000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Short Term Investments</th>\n",
       "      <td>987000000.0</td>\n",
       "      <td>997000000.0</td>\n",
       "      <td>573000000.0</td>\n",
       "      <td>958000000.0</td>\n",
       "      <td>2922000000.0</td>\n",
       "      <td>4985000000.0</td>\n",
       "      <td>4307000000.0</td>\n",
       "      <td>3364000000.0</td>\n",
       "      <td>3789000000.0</td>\n",
       "      <td>2859000000.0</td>\n",
       "      <td>3918000000.0</td>\n",
       "      <td>6647000000.0</td>\n",
       "      <td>10464000000.0</td>\n",
       "      <td>9500000000.0</td>\n",
       "      <td>18929000000.0</td>\n",
       "      <td>42274000000.0</td>\n",
       "      <td>59829000000.0</td>\n",
       "      <td>16138000000.0</td>\n",
       "      <td>13393000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cash and Short Term Investments</th>\n",
       "      <td>2000000000.0</td>\n",
       "      <td>2019000000.0</td>\n",
       "      <td>3112000000.0</td>\n",
       "      <td>3727000000.0</td>\n",
       "      <td>6366000000.0</td>\n",
       "      <td>8762000000.0</td>\n",
       "      <td>9576000000.0</td>\n",
       "      <td>11448000000.0</td>\n",
       "      <td>12447000000.0</td>\n",
       "      <td>17416000000.0</td>\n",
       "      <td>19808000000.0</td>\n",
       "      <td>26581000000.0</td>\n",
       "      <td>32321000000.0</td>\n",
       "      <td>41676000000.0</td>\n",
       "      <td>55342000000.0</td>\n",
       "      <td>84653000000.0</td>\n",
       "      <td>96309000000.0</td>\n",
       "      <td>70391000000.0</td>\n",
       "      <td>87283000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Accounts Receivable</th>\n",
       "      <td>274000000.0</td>\n",
       "      <td>399000000.0</td>\n",
       "      <td>705000000.0</td>\n",
       "      <td>827000000.0</td>\n",
       "      <td>988000000.0</td>\n",
       "      <td>1587000000.0</td>\n",
       "      <td>2571000000.0</td>\n",
       "      <td>3364000000.0</td>\n",
       "      <td>4767000000.0</td>\n",
       "      <td>5612000000.0</td>\n",
       "      <td>6423000000.0</td>\n",
       "      <td>7739000000.0</td>\n",
       "      <td>11829000000.0</td>\n",
       "      <td>16251000000.0</td>\n",
       "      <td>20495000000.0</td>\n",
       "      <td>24285000000.0</td>\n",
       "      <td>32631000000.0</td>\n",
       "      <td>41995000000.0</td>\n",
       "      <td>51750000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventory</th>\n",
       "      <td>566000000.0</td>\n",
       "      <td>877000000.0</td>\n",
       "      <td>1200000000.0</td>\n",
       "      <td>1399000000.0</td>\n",
       "      <td>2171000000.0</td>\n",
       "      <td>3202000000.0</td>\n",
       "      <td>4992000000.0</td>\n",
       "      <td>6031000000.0</td>\n",
       "      <td>7411000000.0</td>\n",
       "      <td>8299000000.0</td>\n",
       "      <td>10243000000.0</td>\n",
       "      <td>11461000000.0</td>\n",
       "      <td>16047000000.0</td>\n",
       "      <td>17174000000.0</td>\n",
       "      <td>20497000000.0</td>\n",
       "      <td>23795000000.0</td>\n",
       "      <td>32640000000.0</td>\n",
       "      <td>34405000000.0</td>\n",
       "      <td>33318000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                    2005         2006         2007  \\\n",
       "Cash and Cash Equivalents       1013000000.0 1022000000.0 2539000000.0   \n",
       "Short Term Investments           987000000.0  997000000.0  573000000.0   \n",
       "Cash and Short Term Investments 2000000000.0 2019000000.0 3112000000.0   \n",
       "Accounts Receivable              274000000.0  399000000.0  705000000.0   \n",
       "Inventory                        566000000.0  877000000.0 1200000000.0   \n",
       "\n",
       "date                                    2008         2009         2010  \\\n",
       "Cash and Cash Equivalents       2769000000.0 3444000000.0 3777000000.0   \n",
       "Short Term Investments           958000000.0 2922000000.0 4985000000.0   \n",
       "Cash and Short Term Investments 3727000000.0 6366000000.0 8762000000.0   \n",
       "Accounts Receivable              827000000.0  988000000.0 1587000000.0   \n",
       "Inventory                       1399000000.0 2171000000.0 3202000000.0   \n",
       "\n",
       "date                                    2011          2012          2013  \\\n",
       "Cash and Cash Equivalents       5269000000.0  8084000000.0  8658000000.0   \n",
       "Short Term Investments          4307000000.0  3364000000.0  3789000000.0   \n",
       "Cash and Short Term Investments 9576000000.0 11448000000.0 12447000000.0   \n",
       "Accounts Receivable             2571000000.0  3364000000.0  4767000000.0   \n",
       "Inventory                       4992000000.0  6031000000.0  7411000000.0   \n",
       "\n",
       "date                                     2014          2015          2016  \\\n",
       "Cash and Cash Equivalents       14557000000.0 15890000000.0 19934000000.0   \n",
       "Short Term Investments           2859000000.0  3918000000.0  6647000000.0   \n",
       "Cash and Short Term Investments 17416000000.0 19808000000.0 26581000000.0   \n",
       "Accounts Receivable              5612000000.0  6423000000.0  7739000000.0   \n",
       "Inventory                        8299000000.0 10243000000.0 11461000000.0   \n",
       "\n",
       "date                                     2017          2018          2019  \\\n",
       "Cash and Cash Equivalents       21857000000.0 32176000000.0 36413000000.0   \n",
       "Short Term Investments          10464000000.0  9500000000.0 18929000000.0   \n",
       "Cash and Short Term Investments 32321000000.0 41676000000.0 55342000000.0   \n",
       "Accounts Receivable             11829000000.0 16251000000.0 20495000000.0   \n",
       "Inventory                       16047000000.0 17174000000.0 20497000000.0   \n",
       "\n",
       "date                                     2020          2021          2022  \\\n",
       "Cash and Cash Equivalents       42379000000.0 36480000000.0 54253000000.0   \n",
       "Short Term Investments          42274000000.0 59829000000.0 16138000000.0   \n",
       "Cash and Short Term Investments 84653000000.0 96309000000.0 70391000000.0   \n",
       "Accounts Receivable             24285000000.0 32631000000.0 41995000000.0   \n",
       "Inventory                       23795000000.0 32640000000.0 34405000000.0   \n",
       "\n",
       "date                                     2023  \n",
       "Cash and Cash Equivalents       73890000000.0  \n",
       "Short Term Investments          13393000000.0  \n",
       "Cash and Short Term Investments 87283000000.0  \n",
       "Accounts Receivable             51750000000.0  \n",
       "Inventory                       33318000000.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
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       "      <th>2013</th>\n",
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       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3865</td>\n",
       "      <td>0.2429</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.1249</td>\n",
       "      <td>0.7852</td>\n",
       "      <td>0.6596</td>\n",
       "      <td>0.4458</td>\n",
       "      <td>0.092</td>\n",
       "      <td>0.0695</td>\n",
       "      <td>0.2786</td>\n",
       "      <td>-0.0773</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.1586</td>\n",
       "      <td>-0.0204</td>\n",
       "      <td>0.0551</td>\n",
       "      <td>0.3326</td>\n",
       "      <td>0.0779</td>\n",
       "      <td>-0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2616</td>\n",
       "      <td>0.385</td>\n",
       "      <td>0.2919</td>\n",
       "      <td>0.2788</td>\n",
       "      <td>0.3956</td>\n",
       "      <td>0.4056</td>\n",
       "      <td>0.2707</td>\n",
       "      <td>0.2187</td>\n",
       "      <td>0.1952</td>\n",
       "      <td>0.2025</td>\n",
       "      <td>0.2708</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.3093</td>\n",
       "      <td>0.2045</td>\n",
       "      <td>0.3762</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.1183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7276</td>\n",
       "      <td>0.5647</td>\n",
       "      <td>0.3135</td>\n",
       "      <td>0.0851</td>\n",
       "      <td>0.2398</td>\n",
       "      <td>0.2928</td>\n",
       "      <td>0.3237</td>\n",
       "      <td>0.1923</td>\n",
       "      <td>0.1032</td>\n",
       "      <td>0.1362</td>\n",
       "      <td>0.2038</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.2342</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.1277</td>\n",
       "      <td>0.4115</td>\n",
       "      <td>0.0978</td>\n",
       "      <td>0.0868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1129</td>\n",
       "      <td>0.1545</td>\n",
       "      <td>0.1819</td>\n",
       "      <td>-0.0328</td>\n",
       "      <td>0.0693</td>\n",
       "      <td>0.1194</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.1154</td>\n",
       "      <td>0.0777</td>\n",
       "      <td>-0.0259</td>\n",
       "      <td>0.0594</td>\n",
       "      <td>0.1428</td>\n",
       "      <td>0.1403</td>\n",
       "      <td>0.1365</td>\n",
       "      <td>0.1753</td>\n",
       "      <td>0.1796</td>\n",
       "      <td>0.0688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "date   2005   2006   2007   2008    2009   2010   2011   2012   2013   2014  \\\n",
       "AAPL    NaN 0.3865 0.2429  0.353  0.1249 0.7852 0.6596 0.4458  0.092 0.0695   \n",
       "AMZN    NaN 0.2616  0.385 0.2919  0.2788 0.3956 0.4056 0.2707 0.2187 0.1952   \n",
       "GOOGL   NaN 0.7276 0.5647 0.3135  0.0851 0.2398 0.2928 0.3237 0.1923 0.1032   \n",
       "MSFT    NaN 0.1129 0.1545 0.1819 -0.0328 0.0693 0.1194  0.054  0.056 0.1154   \n",
       "\n",
       "date    2015    2016   2017   2018    2019   2020   2021   2022   2023  \n",
       "AAPL  0.2786 -0.0773  0.063 0.1586 -0.0204 0.0551 0.3326 0.0779 -0.028  \n",
       "AMZN  0.2025  0.2708  0.308 0.3093  0.2045 0.3762  0.217  0.094 0.1183  \n",
       "GOOGL 0.1362  0.2038  0.228 0.2342   0.183 0.1277 0.4115 0.0978 0.0868  \n",
       "MSFT  0.0777 -0.0259 0.0594 0.1428  0.1403 0.1365 0.1753 0.1796 0.0688  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Total Shareholder Equity over the Years'}, xlabel='Date', ylabel='Total Shareholder Equity'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Save to a variable for easier access\n",
    "balance_sheet = companies.get_balance_sheet_statement()\n",
    "income_statement_growth = companies.get_income_statement(growth=True)\n",
    "\n",
    "# Show only the balance sheet statement for Amazon (purposely cut off to keep it compact)\n",
    "display(balance_sheet.loc[\"AMZN\"].head())\n",
    "\n",
    "# Show the growth of the Revenues for each company\n",
    "display(income_statement_growth.loc[:, \"Revenue\", :])\n",
    "\n",
    "# Plot the value of Total Shareholder Equity for each company in 2022\n",
    "shareholder_value = balance_sheet.loc[\n",
    "    (companies._tickers, \"Total Shareholder Equity\"), :\"2022\"\n",
    "].T\n",
    "shareholder_value.columns = companies._tickers\n",
    "shareholder_value.plot.bar(\n",
    "    figsize=(15, 3),\n",
    "    title=\"Total Shareholder Equity over the Years\",\n",
    "    grid=True,\n",
    "    colormap=\"inferno\",\n",
    "    rot=0,\n",
    "    xlabel=\"Date\",\n",
    "    ylabel=\"Total Shareholder Equity\",\n",
    "    stacked=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54550d8d",
   "metadata": {},
   "source": [
    "As shown above, it is possible to show the growth rates for all of the financial statements which can be done by setting `growth=True` in the function. This can also be done within many of the other modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9404d9c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>Revenue</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3865</td>\n",
       "      <td>0.2429</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.1249</td>\n",
       "      <td>0.7852</td>\n",
       "      <td>0.6596</td>\n",
       "      <td>0.4458</td>\n",
       "      <td>0.092</td>\n",
       "      <td>0.0695</td>\n",
       "      <td>0.2786</td>\n",
       "      <td>-0.0773</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.1586</td>\n",
       "      <td>-0.0204</td>\n",
       "      <td>0.0551</td>\n",
       "      <td>0.3326</td>\n",
       "      <td>0.0779</td>\n",
       "      <td>-0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cost of Goods Sold</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3872</td>\n",
       "      <td>0.1556</td>\n",
       "      <td>0.3458</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.6295</td>\n",
       "      <td>0.3634</td>\n",
       "      <td>0.2136</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.2479</td>\n",
       "      <td>-0.0622</td>\n",
       "      <td>0.0736</td>\n",
       "      <td>0.161</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>0.0481</td>\n",
       "      <td>0.2561</td>\n",
       "      <td>0.0496</td>\n",
       "      <td>-0.0421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross Profit</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3846</td>\n",
       "      <td>0.4566</td>\n",
       "      <td>0.3668</td>\n",
       "      <td>0.179</td>\n",
       "      <td>0.9546</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.567</td>\n",
       "      <td>-0.0635</td>\n",
       "      <td>0.0969</td>\n",
       "      <td>0.3273</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>0.0466</td>\n",
       "      <td>0.1548</td>\n",
       "      <td>-0.0338</td>\n",
       "      <td>0.0667</td>\n",
       "      <td>0.4562</td>\n",
       "      <td>0.1174</td>\n",
       "      <td>-0.0096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross Profit Ratio</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0014</td>\n",
       "      <td>0.1722</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0481</td>\n",
       "      <td>0.0951</td>\n",
       "      <td>0.0279</td>\n",
       "      <td>0.0837</td>\n",
       "      <td>-0.1425</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>0.0381</td>\n",
       "      <td>-0.0245</td>\n",
       "      <td>-0.0156</td>\n",
       "      <td>-0.0034</td>\n",
       "      <td>-0.0136</td>\n",
       "      <td>0.0108</td>\n",
       "      <td>0.0929</td>\n",
       "      <td>0.0366</td>\n",
       "      <td>0.0189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Research and Development Expenses</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3333</td>\n",
       "      <td>0.0983</td>\n",
       "      <td>0.4182</td>\n",
       "      <td>0.202</td>\n",
       "      <td>0.3368</td>\n",
       "      <td>0.3631</td>\n",
       "      <td>0.3919</td>\n",
       "      <td>0.3236</td>\n",
       "      <td>0.3499</td>\n",
       "      <td>0.3354</td>\n",
       "      <td>0.2452</td>\n",
       "      <td>0.1529</td>\n",
       "      <td>0.2293</td>\n",
       "      <td>0.1392</td>\n",
       "      <td>0.1563</td>\n",
       "      <td>0.1686</td>\n",
       "      <td>0.1979</td>\n",
       "      <td>0.1396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th>Net Income Ratio</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0763</td>\n",
       "      <td>-0.033</td>\n",
       "      <td>0.0636</td>\n",
       "      <td>-0.148</td>\n",
       "      <td>0.2042</td>\n",
       "      <td>0.1026</td>\n",
       "      <td>-0.3042</td>\n",
       "      <td>0.2193</td>\n",
       "      <td>-0.0947</td>\n",
       "      <td>-0.4874</td>\n",
       "      <td>0.7291</td>\n",
       "      <td>0.1713</td>\n",
       "      <td>-0.4308</td>\n",
       "      <td>1.0759</td>\n",
       "      <td>-0.0071</td>\n",
       "      <td>0.1773</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>-0.0692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPS</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0708</td>\n",
       "      <td>0.1901</td>\n",
       "      <td>0.3194</td>\n",
       "      <td>-0.1421</td>\n",
       "      <td>0.3067</td>\n",
       "      <td>0.2817</td>\n",
       "      <td>-0.2601</td>\n",
       "      <td>0.2921</td>\n",
       "      <td>0.0192</td>\n",
       "      <td>-0.4398</td>\n",
       "      <td>0.4228</td>\n",
       "      <td>0.2925</td>\n",
       "      <td>-0.2153</td>\n",
       "      <td>1.3767</td>\n",
       "      <td>0.1389</td>\n",
       "      <td>0.3952</td>\n",
       "      <td>0.1946</td>\n",
       "      <td>0.0021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPS Diluted</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0714</td>\n",
       "      <td>0.1833</td>\n",
       "      <td>0.3169</td>\n",
       "      <td>-0.1337</td>\n",
       "      <td>0.2963</td>\n",
       "      <td>0.281</td>\n",
       "      <td>-0.2565</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.0194</td>\n",
       "      <td>-0.4373</td>\n",
       "      <td>0.4189</td>\n",
       "      <td>0.2905</td>\n",
       "      <td>-0.214</td>\n",
       "      <td>1.3756</td>\n",
       "      <td>0.1383</td>\n",
       "      <td>0.3976</td>\n",
       "      <td>0.1988</td>\n",
       "      <td>0.0031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weighted Average Shares</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.037</td>\n",
       "      <td>-0.0667</td>\n",
       "      <td>-0.0425</td>\n",
       "      <td>-0.0411</td>\n",
       "      <td>-0.0148</td>\n",
       "      <td>-0.0367</td>\n",
       "      <td>-0.0111</td>\n",
       "      <td>-0.0025</td>\n",
       "      <td>-0.0091</td>\n",
       "      <td>-0.0147</td>\n",
       "      <td>-0.0308</td>\n",
       "      <td>-0.0226</td>\n",
       "      <td>-0.0059</td>\n",
       "      <td>-0.0035</td>\n",
       "      <td>-0.0082</td>\n",
       "      <td>-0.0083</td>\n",
       "      <td>-0.0068</td>\n",
       "      <td>-0.0067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weighted Average Shares Diluted</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0344</td>\n",
       "      <td>-0.0612</td>\n",
       "      <td>-0.0421</td>\n",
       "      <td>-0.0501</td>\n",
       "      <td>-0.0077</td>\n",
       "      <td>-0.0374</td>\n",
       "      <td>-0.0101</td>\n",
       "      <td>-0.0042</td>\n",
       "      <td>-0.0084</td>\n",
       "      <td>-0.0173</td>\n",
       "      <td>-0.0292</td>\n",
       "      <td>-0.0226</td>\n",
       "      <td>-0.0049</td>\n",
       "      <td>-0.0053</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.0098</td>\n",
       "      <td>-0.0089</td>\n",
       "      <td>-0.009</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 19 columns</p>\n",
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      ],
      "text/plain": [
       "date                                    2005    2006    2007    2008    2009  \\\n",
       "AAPL Revenue                             NaN  0.3865  0.2429   0.353  0.1249   \n",
       "     Cost of Goods Sold                  NaN  0.3872  0.1556  0.3458  0.0967   \n",
       "     Gross Profit                        NaN  0.3846  0.4566  0.3668   0.179   \n",
       "     Gross Profit Ratio                  NaN -0.0014  0.1722    0.01  0.0481   \n",
       "     Research and Development Expenses   NaN  0.3333  0.0983  0.4182   0.202   \n",
       "...                                      ...     ...     ...     ...     ...   \n",
       "MSFT Net Income Ratio                    NaN -0.0763  -0.033  0.0636  -0.148   \n",
       "     EPS                                 NaN  0.0708  0.1901  0.3194 -0.1421   \n",
       "     EPS Diluted                         NaN  0.0714  0.1833  0.3169 -0.1337   \n",
       "     Weighted Average Shares             NaN  -0.037 -0.0667 -0.0425 -0.0411   \n",
       "     Weighted Average Shares Diluted     NaN -0.0344 -0.0612 -0.0421 -0.0501   \n",
       "\n",
       "date                                      2010    2011    2012    2013  \\\n",
       "AAPL Revenue                            0.7852  0.6596  0.4458   0.092   \n",
       "     Cost of Goods Sold                   0.69  0.6295  0.3634  0.2136   \n",
       "     Gross Profit                       0.9546   0.706   0.567 -0.0635   \n",
       "     Gross Profit Ratio                 0.0951  0.0279  0.0837 -0.1425   \n",
       "     Research and Development Expenses  0.3368  0.3631  0.3919  0.3236   \n",
       "...                                        ...     ...     ...     ...   \n",
       "MSFT Net Income Ratio                   0.2042  0.1026 -0.3042  0.2193   \n",
       "     EPS                                0.3067  0.2817 -0.2601  0.2921   \n",
       "     EPS Diluted                        0.2963   0.281 -0.2565    0.29   \n",
       "     Weighted Average Shares           -0.0148 -0.0367 -0.0111 -0.0025   \n",
       "     Weighted Average Shares Diluted   -0.0077 -0.0374 -0.0101 -0.0042   \n",
       "\n",
       "date                                      2014    2015    2016    2017  \\\n",
       "AAPL Revenue                            0.0695  0.2786 -0.0773   0.063   \n",
       "     Cost of Goods Sold                  0.053  0.2479 -0.0622  0.0736   \n",
       "     Gross Profit                       0.0969  0.3273    -0.1  0.0466   \n",
       "     Gross Profit Ratio                 0.0258  0.0381 -0.0245 -0.0156   \n",
       "     Research and Development Expenses  0.3499  0.3354  0.2452  0.1529   \n",
       "...                                        ...     ...     ...     ...   \n",
       "MSFT Net Income Ratio                  -0.0947 -0.4874  0.7291  0.1713   \n",
       "     EPS                                0.0192 -0.4398  0.4228  0.2925   \n",
       "     EPS Diluted                        0.0194 -0.4373  0.4189  0.2905   \n",
       "     Weighted Average Shares           -0.0091 -0.0147 -0.0308 -0.0226   \n",
       "     Weighted Average Shares Diluted   -0.0084 -0.0173 -0.0292 -0.0226   \n",
       "\n",
       "date                                      2018    2019    2020    2021  \\\n",
       "AAPL Revenue                            0.1586 -0.0204  0.0551  0.3326   \n",
       "     Cost of Goods Sold                  0.161 -0.0121  0.0481  0.2561   \n",
       "     Gross Profit                       0.1548 -0.0338  0.0667  0.4562   \n",
       "     Gross Profit Ratio                -0.0034 -0.0136  0.0108  0.0929   \n",
       "     Research and Development Expenses  0.2293  0.1392  0.1563  0.1686   \n",
       "...                                        ...     ...     ...     ...   \n",
       "MSFT Net Income Ratio                  -0.4308  1.0759 -0.0071  0.1773   \n",
       "     EPS                               -0.2153  1.3767  0.1389  0.3952   \n",
       "     EPS Diluted                        -0.214  1.3756  0.1383  0.3976   \n",
       "     Weighted Average Shares           -0.0059 -0.0035 -0.0082 -0.0083   \n",
       "     Weighted Average Shares Diluted   -0.0049 -0.0053  -0.009 -0.0098   \n",
       "\n",
       "date                                      2022    2023  \n",
       "AAPL Revenue                            0.0779  -0.028  \n",
       "     Cost of Goods Sold                 0.0496 -0.0421  \n",
       "     Gross Profit                       0.1174 -0.0096  \n",
       "     Gross Profit Ratio                 0.0366  0.0189  \n",
       "     Research and Development Expenses  0.1979  0.1396  \n",
       "...                                        ...     ...  \n",
       "MSFT Net Income Ratio                   0.0066 -0.0692  \n",
       "     EPS                                0.1946  0.0021  \n",
       "     EPS Diluted                        0.1988  0.0031  \n",
       "     Weighted Average Shares           -0.0068 -0.0067  \n",
       "     Weighted Average Shares Diluted   -0.0089  -0.009  \n",
       "\n",
       "[112 rows x 19 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_income_statement(growth=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8e37a2a",
   "metadata": {},
   "source": [
    "By default, the lag is set to 1 (one period) but it is possible to change this and add multiple lags as well. This allows you to obtain lagged growth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "426c73d8",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Revenue</th>\n",
       "      <th>Lag 1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3865</td>\n",
       "      <td>0.2429</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.1249</td>\n",
       "      <td>0.7852</td>\n",
       "      <td>0.6596</td>\n",
       "      <td>0.4458</td>\n",
       "      <td>0.092</td>\n",
       "      <td>0.0695</td>\n",
       "      <td>0.2786</td>\n",
       "      <td>-0.0773</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.1586</td>\n",
       "      <td>-0.0204</td>\n",
       "      <td>0.0551</td>\n",
       "      <td>0.3326</td>\n",
       "      <td>0.0779</td>\n",
       "      <td>-0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7232</td>\n",
       "      <td>0.6815</td>\n",
       "      <td>0.522</td>\n",
       "      <td>1.0082</td>\n",
       "      <td>1.9627</td>\n",
       "      <td>1.3995</td>\n",
       "      <td>0.5789</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.3675</td>\n",
       "      <td>0.1797</td>\n",
       "      <td>-0.0192</td>\n",
       "      <td>0.2317</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.0336</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.4365</td>\n",
       "      <td>0.0478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3314</td>\n",
       "      <td>0.8916</td>\n",
       "      <td>1.717</td>\n",
       "      <td>2.3329</td>\n",
       "      <td>3.2835</td>\n",
       "      <td>1.6203</td>\n",
       "      <td>0.6887</td>\n",
       "      <td>0.4933</td>\n",
       "      <td>0.2617</td>\n",
       "      <td>0.254</td>\n",
       "      <td>0.1364</td>\n",
       "      <td>0.2065</td>\n",
       "      <td>0.1975</td>\n",
       "      <td>0.3773</td>\n",
       "      <td>0.5156</td>\n",
       "      <td>0.3962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Cost of Goods Sold</th>\n",
       "      <th>Lag 1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3872</td>\n",
       "      <td>0.1556</td>\n",
       "      <td>0.3458</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.6295</td>\n",
       "      <td>0.3634</td>\n",
       "      <td>0.2136</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.2479</td>\n",
       "      <td>-0.0622</td>\n",
       "      <td>0.0736</td>\n",
       "      <td>0.161</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>0.0481</td>\n",
       "      <td>0.2561</td>\n",
       "      <td>0.0496</td>\n",
       "      <td>-0.0421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.6032</td>\n",
       "      <td>0.5553</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.8534</td>\n",
       "      <td>1.7538</td>\n",
       "      <td>1.2216</td>\n",
       "      <td>0.6546</td>\n",
       "      <td>0.2779</td>\n",
       "      <td>0.3141</td>\n",
       "      <td>0.1703</td>\n",
       "      <td>0.0068</td>\n",
       "      <td>0.2465</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.0354</td>\n",
       "      <td>0.3165</td>\n",
       "      <td>0.3184</td>\n",
       "      <td>0.0054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Weighted Average Shares</th>\n",
       "      <th>Lag 2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1012</td>\n",
       "      <td>-0.1063</td>\n",
       "      <td>-0.0818</td>\n",
       "      <td>-0.0552</td>\n",
       "      <td>-0.0509</td>\n",
       "      <td>-0.0473</td>\n",
       "      <td>-0.0135</td>\n",
       "      <td>-0.0116</td>\n",
       "      <td>-0.0236</td>\n",
       "      <td>-0.0451</td>\n",
       "      <td>-0.0527</td>\n",
       "      <td>-0.0284</td>\n",
       "      <td>-0.0094</td>\n",
       "      <td>-0.0117</td>\n",
       "      <td>-0.0164</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>-0.0134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1394</td>\n",
       "      <td>-0.143</td>\n",
       "      <td>-0.0954</td>\n",
       "      <td>-0.0898</td>\n",
       "      <td>-0.0614</td>\n",
       "      <td>-0.0497</td>\n",
       "      <td>-0.0225</td>\n",
       "      <td>-0.0261</td>\n",
       "      <td>-0.0537</td>\n",
       "      <td>-0.0666</td>\n",
       "      <td>-0.0583</td>\n",
       "      <td>-0.0318</td>\n",
       "      <td>-0.0176</td>\n",
       "      <td>-0.0199</td>\n",
       "      <td>-0.0231</td>\n",
       "      <td>-0.0216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Weighted Average Shares Diluted</th>\n",
       "      <th>Lag 1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0344</td>\n",
       "      <td>-0.0612</td>\n",
       "      <td>-0.0421</td>\n",
       "      <td>-0.0501</td>\n",
       "      <td>-0.0077</td>\n",
       "      <td>-0.0374</td>\n",
       "      <td>-0.0101</td>\n",
       "      <td>-0.0042</td>\n",
       "      <td>-0.0084</td>\n",
       "      <td>-0.0173</td>\n",
       "      <td>-0.0292</td>\n",
       "      <td>-0.0226</td>\n",
       "      <td>-0.0049</td>\n",
       "      <td>-0.0053</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.0098</td>\n",
       "      <td>-0.0089</td>\n",
       "      <td>-0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0935</td>\n",
       "      <td>-0.1008</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.0573</td>\n",
       "      <td>-0.0448</td>\n",
       "      <td>-0.0472</td>\n",
       "      <td>-0.0143</td>\n",
       "      <td>-0.0126</td>\n",
       "      <td>-0.0255</td>\n",
       "      <td>-0.046</td>\n",
       "      <td>-0.0511</td>\n",
       "      <td>-0.0273</td>\n",
       "      <td>-0.0101</td>\n",
       "      <td>-0.0142</td>\n",
       "      <td>-0.0187</td>\n",
       "      <td>-0.0186</td>\n",
       "      <td>-0.0179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lag 3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1317</td>\n",
       "      <td>-0.1458</td>\n",
       "      <td>-0.097</td>\n",
       "      <td>-0.0926</td>\n",
       "      <td>-0.0545</td>\n",
       "      <td>-0.0512</td>\n",
       "      <td>-0.0226</td>\n",
       "      <td>-0.0296</td>\n",
       "      <td>-0.054</td>\n",
       "      <td>-0.0675</td>\n",
       "      <td>-0.0557</td>\n",
       "      <td>-0.0324</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>-0.0239</td>\n",
       "      <td>-0.0275</td>\n",
       "      <td>-0.0275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>336 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                        2005    2006    2007    2008  \\\n",
       "AAPL Revenue                         Lag 1   NaN  0.3865  0.2429   0.353   \n",
       "                                     Lag 2   NaN     NaN  0.7232  0.6815   \n",
       "                                     Lag 3   NaN     NaN     NaN  1.3314   \n",
       "     Cost of Goods Sold              Lag 1   NaN  0.3872  0.1556  0.3458   \n",
       "                                     Lag 2   NaN     NaN  0.6032  0.5553   \n",
       "...                                          ...     ...     ...     ...   \n",
       "MSFT Weighted Average Shares         Lag 2   NaN     NaN -0.1012 -0.1063   \n",
       "                                     Lag 3   NaN     NaN     NaN -0.1394   \n",
       "     Weighted Average Shares Diluted Lag 1   NaN -0.0344 -0.0612 -0.0421   \n",
       "                                     Lag 2   NaN     NaN -0.0935 -0.1008   \n",
       "                                     Lag 3   NaN     NaN     NaN -0.1317   \n",
       "\n",
       "date                                          2009    2010    2011    2012  \\\n",
       "AAPL Revenue                         Lag 1  0.1249  0.7852  0.6596  0.4458   \n",
       "                                     Lag 2   0.522  1.0082  1.9627  1.3995   \n",
       "                                     Lag 3  0.8916   1.717  2.3329  3.2835   \n",
       "     Cost of Goods Sold              Lag 1  0.0967    0.69  0.6295  0.3634   \n",
       "                                     Lag 2   0.476  0.8534  1.7538  1.2216   \n",
       "...                                            ...     ...     ...     ...   \n",
       "MSFT Weighted Average Shares         Lag 2 -0.0818 -0.0552 -0.0509 -0.0473   \n",
       "                                     Lag 3  -0.143 -0.0954 -0.0898 -0.0614   \n",
       "     Weighted Average Shares Diluted Lag 1 -0.0501 -0.0077 -0.0374 -0.0101   \n",
       "                                     Lag 2   -0.09 -0.0573 -0.0448 -0.0472   \n",
       "                                     Lag 3 -0.1458  -0.097 -0.0926 -0.0545   \n",
       "\n",
       "date                                          2013    2014    2015    2016  \\\n",
       "AAPL Revenue                         Lag 1   0.092  0.0695  0.2786 -0.0773   \n",
       "                                     Lag 2  0.5789   0.168  0.3675  0.1797   \n",
       "                                     Lag 3  1.6203  0.6887  0.4933  0.2617   \n",
       "     Cost of Goods Sold              Lag 1  0.2136   0.053  0.2479 -0.0622   \n",
       "                                     Lag 2  0.6546  0.2779  0.3141  0.1703   \n",
       "...                                            ...     ...     ...     ...   \n",
       "MSFT Weighted Average Shares         Lag 2 -0.0135 -0.0116 -0.0236 -0.0451   \n",
       "                                     Lag 3 -0.0497 -0.0225 -0.0261 -0.0537   \n",
       "     Weighted Average Shares Diluted Lag 1 -0.0042 -0.0084 -0.0173 -0.0292   \n",
       "                                     Lag 2 -0.0143 -0.0126 -0.0255  -0.046   \n",
       "                                     Lag 3 -0.0512 -0.0226 -0.0296  -0.054   \n",
       "\n",
       "date                                          2017    2018    2019    2020  \\\n",
       "AAPL Revenue                         Lag 1   0.063  0.1586 -0.0204  0.0551   \n",
       "                                     Lag 2 -0.0192  0.2317   0.135  0.0336   \n",
       "                                     Lag 3   0.254  0.1364  0.2065  0.1975   \n",
       "     Cost of Goods Sold              Lag 1  0.0736   0.161 -0.0121  0.0481   \n",
       "                                     Lag 2  0.0068  0.2465   0.147  0.0354   \n",
       "...                                            ...     ...     ...     ...   \n",
       "MSFT Weighted Average Shares         Lag 2 -0.0527 -0.0284 -0.0094 -0.0117   \n",
       "                                     Lag 3 -0.0666 -0.0583 -0.0318 -0.0176   \n",
       "     Weighted Average Shares Diluted Lag 1 -0.0226 -0.0049 -0.0053  -0.009   \n",
       "                                     Lag 2 -0.0511 -0.0273 -0.0101 -0.0142   \n",
       "                                     Lag 3 -0.0675 -0.0557 -0.0324  -0.019   \n",
       "\n",
       "date                                          2021    2022    2023  \n",
       "AAPL Revenue                         Lag 1  0.3326  0.0779  -0.028  \n",
       "                                     Lag 2   0.406  0.4365  0.0478  \n",
       "                                     Lag 3  0.3773  0.5156  0.3962  \n",
       "     Cost of Goods Sold              Lag 1  0.2561  0.0496 -0.0421  \n",
       "                                     Lag 2  0.3165  0.3184  0.0054  \n",
       "...                                            ...     ...     ...  \n",
       "MSFT Weighted Average Shares         Lag 2 -0.0164  -0.015 -0.0134  \n",
       "                                     Lag 3 -0.0199 -0.0231 -0.0216  \n",
       "     Weighted Average Shares Diluted Lag 1 -0.0098 -0.0089  -0.009  \n",
       "                                     Lag 2 -0.0187 -0.0186 -0.0179  \n",
       "                                     Lag 3 -0.0239 -0.0275 -0.0275  \n",
       "\n",
       "[336 rows x 19 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_income_statement(growth=True, lag=[1, 2, 3])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e61d444a",
   "metadata": {},
   "source": [
    "It is also possible to get trailing results. E.g. the TTM Revenues can be acquired by setting trailing to 4 (quarters). Note that this specific metric requires th `quarterly=True` in the Toolkit initalization. Here, you can also combine this with the `growth=True` parameter to get trailing revenue growth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "657e2582",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '4 Year Trailing Revenue Growth for Apple, Microsoft, Google and Amazon'}, xlabel='Date', ylabel='Revenue'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "companies.get_income_statement(trailing=4).loc[:, \"Revenue\", :].T.dropna().plot(\n",
    "    figsize=(15, 3),\n",
    "    title=\"4 Year Trailing Revenue for Apple, Microsoft, Google and Amazon\",\n",
    "    grid=True,\n",
    "    linestyle=\"-\",\n",
    "    linewidth=2,\n",
    "    xlabel=\"Date\",\n",
    "    ylabel=\"Revenue\",\n",
    ")\n",
    "\n",
    "companies.get_income_statement(trailing=4, growth=True).loc[\n",
    "    :, \"Revenue\", :\n",
    "].T.dropna().plot(\n",
    "    figsize=(15, 3),\n",
    "    title=\"4 Year Trailing Revenue Growth for Apple, Microsoft, Google and Amazon\",\n",
    "    grid=True,\n",
    "    linestyle=\"-\",\n",
    "    linewidth=2,\n",
    "    xlabel=\"Date\",\n",
    "    ylabel=\"Revenue\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f676bc56",
   "metadata": {},
   "source": [
    "It is possible to delve deeper with `get_revenue_product_segmentation` and `get_revenue_geographic_segmentation`. Do note that this is a Professional/Enterprise feature. As an example, this is how this would look for Apple. Note that the Product and Geographic Names can change over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f7c6b1d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining product segmentation data: 100%|██████████| 4/4 [00:00<00:00,  9.49it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">AAPL</th>\n",
       "      <th>Ipad</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19222000000.0</td>\n",
       "      <td>18805000000.0</td>\n",
       "      <td>21280000000.0</td>\n",
       "      <td>23724000000.0</td>\n",
       "      <td>31862000000.0</td>\n",
       "      <td>29292000000.0</td>\n",
       "      <td>28300000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iphone</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141319000000.0</td>\n",
       "      <td>166699000000.0</td>\n",
       "      <td>142381000000.0</td>\n",
       "      <td>137781000000.0</td>\n",
       "      <td>191973000000.0</td>\n",
       "      <td>205489000000.0</td>\n",
       "      <td>200583000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mac</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25850000000.0</td>\n",
       "      <td>25484000000.0</td>\n",
       "      <td>25740000000.0</td>\n",
       "      <td>28622000000.0</td>\n",
       "      <td>35190000000.0</td>\n",
       "      <td>40177000000.0</td>\n",
       "      <td>29357000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             2010  2011  2012  2013  2014  2015  2016           2017  \\\n",
       "AAPL Ipad     0.0   0.0   0.0   0.0   0.0   0.0   0.0  19222000000.0   \n",
       "     Iphone   0.0   0.0   0.0   0.0   0.0   0.0   0.0 141319000000.0   \n",
       "     Mac      0.0   0.0   0.0   0.0   0.0   0.0   0.0  25850000000.0   \n",
       "\n",
       "                      2018           2019           2020           2021  \\\n",
       "AAPL Ipad    18805000000.0  21280000000.0  23724000000.0  31862000000.0   \n",
       "     Iphone 166699000000.0 142381000000.0 137781000000.0 191973000000.0   \n",
       "     Mac     25484000000.0  25740000000.0  28622000000.0  35190000000.0   \n",
       "\n",
       "                      2022           2023  \n",
       "AAPL Ipad    29292000000.0  28300000000.0  \n",
       "     Iphone 205489000000.0 200583000000.0  \n",
       "     Mac     40177000000.0  29357000000.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining geographic segmentation data: 100%|██████████| 4/4 [00:00<00:00,  9.51it/s]\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
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       "      <th>2023</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Americas</th>\n",
       "      <td>24498000000.0</td>\n",
       "      <td>38315000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>162560000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia Pacific</th>\n",
       "      <td>8256000000.0</td>\n",
       "      <td>22592000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>29375000000.0</td>\n",
       "      <td>29615000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22797000000.0</td>\n",
       "      <td>25946000000.0</td>\n",
       "      <td>30638000000.0</td>\n",
       "      <td>56547000000.0</td>\n",
       "      <td>46349000000.0</td>\n",
       "      <td>44764000000.0</td>\n",
       "      <td>51942000000.0</td>\n",
       "      <td>43678000000.0</td>\n",
       "      <td>40308000000.0</td>\n",
       "      <td>68366000000.0</td>\n",
       "      <td>74200000000.0</td>\n",
       "      <td>72559000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>18692000000.0</td>\n",
       "      <td>27778000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>68640000000.0</td>\n",
       "      <td>89307000000.0</td>\n",
       "      <td>95118000000.0</td>\n",
       "      <td>94294000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5437000000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21418000000.0</td>\n",
       "      <td>28482000000.0</td>\n",
       "      <td>25977000000.0</td>\n",
       "      <td>24257000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other Countries</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72762000000.0</td>\n",
       "      <td>78767000000.0</td>\n",
       "      <td>83248000000.0</td>\n",
       "      <td>95436000000.0</td>\n",
       "      <td>93623000000.0</td>\n",
       "      <td>100131000000.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60949000000.0</td>\n",
       "      <td>66197000000.0</td>\n",
       "      <td>68909000000.0</td>\n",
       "      <td>81732000000.0</td>\n",
       "      <td>75667000000.0</td>\n",
       "      <td>84339000000.0</td>\n",
       "      <td>98061000000.0</td>\n",
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      ],
      "text/plain": [
       "                         2010          2011          2012          2013  \\\n",
       "Americas        24498000000.0 38315000000.0           0.0           0.0   \n",
       "Asia Pacific     8256000000.0 22592000000.0           0.0           0.0   \n",
       "China                     0.0           0.0 22797000000.0 25946000000.0   \n",
       "Europe          18692000000.0 27778000000.0           0.0           0.0   \n",
       "Japan                     0.0  5437000000.0           0.0           0.0   \n",
       "Other Countries           0.0           0.0 72762000000.0 78767000000.0   \n",
       "United States             0.0           0.0 60949000000.0 66197000000.0   \n",
       "\n",
       "                         2014          2015          2016           2017  \\\n",
       "Americas                  0.0           0.0           0.0            0.0   \n",
       "Asia Pacific              0.0           0.0           0.0            0.0   \n",
       "China           30638000000.0 56547000000.0 46349000000.0  44764000000.0   \n",
       "Europe                    0.0           0.0           0.0            0.0   \n",
       "Japan                     0.0           0.0           0.0            0.0   \n",
       "Other Countries 83248000000.0 95436000000.0 93623000000.0 100131000000.0   \n",
       "United States   68909000000.0 81732000000.0 75667000000.0  84339000000.0   \n",
       "\n",
       "                          2018           2019           2020           2021  \\\n",
       "Americas                   0.0            0.0 124556000000.0 153306000000.0   \n",
       "Asia Pacific               0.0            0.0  19593000000.0  26356000000.0   \n",
       "China            51942000000.0  43678000000.0  40308000000.0  68366000000.0   \n",
       "Europe                     0.0            0.0  68640000000.0  89307000000.0   \n",
       "Japan                      0.0            0.0  21418000000.0  28482000000.0   \n",
       "Other Countries 115592000000.0 114230000000.0            0.0            0.0   \n",
       "United States    98061000000.0 102266000000.0            0.0            0.0   \n",
       "\n",
       "                          2022           2023  \n",
       "Americas        169658000000.0 162560000000.0  \n",
       "Asia Pacific     29375000000.0  29615000000.0  \n",
       "China            74200000000.0  72559000000.0  \n",
       "Europe           95118000000.0  94294000000.0  \n",
       "Japan            25977000000.0  24257000000.0  \n",
       "Other Countries            0.0            0.0  \n",
       "United States              0.0            0.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(\n",
    "    companies.get_revenue_product_segmentation().loc[\n",
    "        \"AAPL\", [\"Ipad\", \"Iphone\", \"Mac\"], :\n",
    "    ]\n",
    ")\n",
    "\n",
    "display(companies.get_revenue_geographic_segmentation().loc[\"AAPL\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f09f930",
   "metadata": {},
   "source": [
    "Not only past observations are observable, with `get_analyst_estimates` you can also get the analyst estimates for the future and see the earnings calendar with `get_earnings_calendar`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "49cf4f50",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining analyst estimates: 100%|██████████| 4/4 [00:00<00:00,  9.58it/s]\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
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       "      <th>2028</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>Estimated Revenue Low</th>\n",
       "      <td>13626659998.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18693939340.0</td>\n",
       "      <td>26765317646.0</td>\n",
       "      <td>33020178101.0</td>\n",
       "      <td>51133805598.0</td>\n",
       "      <td>84668972076.0</td>\n",
       "      <td>128156865993.0</td>\n",
       "      <td>136071463842.0</td>\n",
       "      <td>142688813098.0</td>\n",
       "      <td>...</td>\n",
       "      <td>251373609508.0</td>\n",
       "      <td>265197672206.0</td>\n",
       "      <td>355320074190.0</td>\n",
       "      <td>381124881556.0</td>\n",
       "      <td>384446576511.0</td>\n",
       "      <td>382152842284.0</td>\n",
       "      <td>397392189497.0</td>\n",
       "      <td>422670922443.0</td>\n",
       "      <td>497329384872.0</td>\n",
       "      <td>543286363973.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated Revenue High</th>\n",
       "      <td>20439989997.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28040909010.0</td>\n",
       "      <td>40147976469.0</td>\n",
       "      <td>49530267154.0</td>\n",
       "      <td>76700708397.0</td>\n",
       "      <td>127003458115.0</td>\n",
       "      <td>192235298991.0</td>\n",
       "      <td>204107195765.0</td>\n",
       "      <td>214033219648.0</td>\n",
       "      <td>...</td>\n",
       "      <td>268839631176.0</td>\n",
       "      <td>283624221828.0</td>\n",
       "      <td>380008537419.0</td>\n",
       "      <td>407606322677.0</td>\n",
       "      <td>386663161851.0</td>\n",
       "      <td>400922648035.0</td>\n",
       "      <td>439345198864.0</td>\n",
       "      <td>452039078887.0</td>\n",
       "      <td>531884984522.0</td>\n",
       "      <td>581035161168.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated Revenue Average</th>\n",
       "      <td>17033324998.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23367424175.0</td>\n",
       "      <td>33456647058.0</td>\n",
       "      <td>41275222628.0</td>\n",
       "      <td>63917256998.0</td>\n",
       "      <td>105836215096.0</td>\n",
       "      <td>160196082492.0</td>\n",
       "      <td>170089329804.0</td>\n",
       "      <td>178361016373.0</td>\n",
       "      <td>...</td>\n",
       "      <td>259058735507.0</td>\n",
       "      <td>273305434710.0</td>\n",
       "      <td>366183106095.0</td>\n",
       "      <td>392776831583.0</td>\n",
       "      <td>385706000000.0</td>\n",
       "      <td>388204694890.0</td>\n",
       "      <td>412561696770.0</td>\n",
       "      <td>435593039850.0</td>\n",
       "      <td>512534000000.0</td>\n",
       "      <td>559896000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated EBITDA Low</th>\n",
       "      <td>1741024242.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4015137390.0</td>\n",
       "      <td>4898933332.0</td>\n",
       "      <td>7880186154.0</td>\n",
       "      <td>14640464486.0</td>\n",
       "      <td>27829630700.0</td>\n",
       "      <td>48165863290.0</td>\n",
       "      <td>45114743880.0</td>\n",
       "      <td>48311071150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>61938363473.0</td>\n",
       "      <td>58883296895.0</td>\n",
       "      <td>85099128888.0</td>\n",
       "      <td>100742070266.0</td>\n",
       "      <td>110816277291.0</td>\n",
       "      <td>119512754050.0</td>\n",
       "      <td>124278638674.0</td>\n",
       "      <td>132184195454.0</td>\n",
       "      <td>155532545828.0</td>\n",
       "      <td>169904923925.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated EBITDA High</th>\n",
       "      <td>2611536363.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6022706085.0</td>\n",
       "      <td>7348399998.0</td>\n",
       "      <td>11820279232.0</td>\n",
       "      <td>21960696730.0</td>\n",
       "      <td>41744446050.0</td>\n",
       "      <td>72248794936.0</td>\n",
       "      <td>67672115819.0</td>\n",
       "      <td>72466606725.0</td>\n",
       "      <td>...</td>\n",
       "      <td>92907545213.0</td>\n",
       "      <td>88324945342.0</td>\n",
       "      <td>127648693332.0</td>\n",
       "      <td>151113105399.0</td>\n",
       "      <td>166224415938.0</td>\n",
       "      <td>125382738334.0</td>\n",
       "      <td>137398833359.0</td>\n",
       "      <td>141368660071.0</td>\n",
       "      <td>166339308006.0</td>\n",
       "      <td>181710312282.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">GOOGL</th>\n",
       "      <th>Estimated SGA Expense Average</th>\n",
       "      <td>894010315.0</td>\n",
       "      <td>1420183100.0</td>\n",
       "      <td>2657021724.0</td>\n",
       "      <td>3644235703.0</td>\n",
       "      <td>3431008638.0</td>\n",
       "      <td>4459955563.0</td>\n",
       "      <td>7608348090.0</td>\n",
       "      <td>10286992978.0</td>\n",
       "      <td>12896103162.0</td>\n",
       "      <td>14361549890.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26436422037.0</td>\n",
       "      <td>22238024823.0</td>\n",
       "      <td>28527383450.0</td>\n",
       "      <td>39467175911.0</td>\n",
       "      <td>43413893500.0</td>\n",
       "      <td>52561867233.0</td>\n",
       "      <td>58112977404.0</td>\n",
       "      <td>63786440026.0</td>\n",
       "      <td>69400395489.0</td>\n",
       "      <td>76655699580.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated EPS Average</th>\n",
       "      <td>0.12</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.045</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.345</td>\n",
       "      <td>...</td>\n",
       "      <td>2.321</td>\n",
       "      <td>2.6168</td>\n",
       "      <td>5.4287</td>\n",
       "      <td>4.7171</td>\n",
       "      <td>5.8428</td>\n",
       "      <td>6.8078</td>\n",
       "      <td>7.8614</td>\n",
       "      <td>8.9948</td>\n",
       "      <td>10.6329</td>\n",
       "      <td>13.0375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated EPS High</th>\n",
       "      <td>0.15</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.78</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.61</td>\n",
       "      <td>...</td>\n",
       "      <td>2.4261</td>\n",
       "      <td>2.7353</td>\n",
       "      <td>5.6745</td>\n",
       "      <td>4.9307</td>\n",
       "      <td>6.1074</td>\n",
       "      <td>7.51</td>\n",
       "      <td>9.07</td>\n",
       "      <td>10.32</td>\n",
       "      <td>11.1143</td>\n",
       "      <td>13.6278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estimated EPS Low</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.08</td>\n",
       "      <td>...</td>\n",
       "      <td>2.2488</td>\n",
       "      <td>2.5354</td>\n",
       "      <td>5.2598</td>\n",
       "      <td>4.5704</td>\n",
       "      <td>5.661</td>\n",
       "      <td>6.15</td>\n",
       "      <td>6.89</td>\n",
       "      <td>7.52</td>\n",
       "      <td>10.302</td>\n",
       "      <td>12.6318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of Analysts</th>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                         2005         2006          2007  \\\n",
       "AAPL  Estimated Revenue Low         13626659998.0          NaN 18693939340.0   \n",
       "      Estimated Revenue High        20439989997.0          NaN 28040909010.0   \n",
       "      Estimated Revenue Average     17033324998.0          NaN 23367424175.0   \n",
       "      Estimated EBITDA Low           1741024242.0          NaN  4015137390.0   \n",
       "      Estimated EBITDA High          2611536363.0          NaN  6022706085.0   \n",
       "...                                           ...          ...           ...   \n",
       "GOOGL Estimated SGA Expense Average   894010315.0 1420183100.0  2657021724.0   \n",
       "      Estimated EPS Average                  0.12         0.21         0.365   \n",
       "      Estimated EPS High                     0.15         0.26          0.44   \n",
       "      Estimated EPS Low                      0.09         0.16          0.29   \n",
       "      Number of Analysts                     19.0         19.0          15.0   \n",
       "\n",
       "date                                         2008          2009          2010  \\\n",
       "AAPL  Estimated Revenue Low         26765317646.0 33020178101.0 51133805598.0   \n",
       "      Estimated Revenue High        40147976469.0 49530267154.0 76700708397.0   \n",
       "      Estimated Revenue Average     33456647058.0 41275222628.0 63917256998.0   \n",
       "      Estimated EBITDA Low           4898933332.0  7880186154.0 14640464486.0   \n",
       "      Estimated EBITDA High          7348399998.0 11820279232.0 21960696730.0   \n",
       "...                                           ...           ...           ...   \n",
       "GOOGL Estimated SGA Expense Average  3644235703.0  3431008638.0  4459955563.0   \n",
       "      Estimated EPS Average                 0.465          0.51         0.655   \n",
       "      Estimated EPS High                     0.56          0.61          0.78   \n",
       "      Estimated EPS Low                      0.37          0.41          0.53   \n",
       "      Number of Analysts                     15.0          12.0          17.0   \n",
       "\n",
       "date                                          2011           2012  \\\n",
       "AAPL  Estimated Revenue Low          84668972076.0 128156865993.0   \n",
       "      Estimated Revenue High        127003458115.0 192235298991.0   \n",
       "      Estimated Revenue Average     105836215096.0 160196082492.0   \n",
       "      Estimated EBITDA Low           27829630700.0  48165863290.0   \n",
       "      Estimated EBITDA High          41744446050.0  72248794936.0   \n",
       "...                                            ...            ...   \n",
       "GOOGL Estimated SGA Expense Average   7608348090.0  10286992978.0   \n",
       "      Estimated EPS Average                   0.86          1.045   \n",
       "      Estimated EPS High                      1.03           1.26   \n",
       "      Estimated EPS Low                       0.69           0.83   \n",
       "      Number of Analysts                      15.0            9.0   \n",
       "\n",
       "date                                          2013           2014  ...  \\\n",
       "AAPL  Estimated Revenue Low         136071463842.0 142688813098.0  ...   \n",
       "      Estimated Revenue High        204107195765.0 214033219648.0  ...   \n",
       "      Estimated Revenue Average     170089329804.0 178361016373.0  ...   \n",
       "      Estimated EBITDA Low           45114743880.0  48311071150.0  ...   \n",
       "      Estimated EBITDA High          67672115819.0  72466606725.0  ...   \n",
       "...                                            ...            ...  ...   \n",
       "GOOGL Estimated SGA Expense Average  12896103162.0  14361549890.0  ...   \n",
       "      Estimated EPS Average                    1.1          1.345  ...   \n",
       "      Estimated EPS High                      1.32           1.61  ...   \n",
       "      Estimated EPS Low                       0.88           1.08  ...   \n",
       "      Number of Analysts                      19.0           17.0  ...   \n",
       "\n",
       "date                                          2019           2020  \\\n",
       "AAPL  Estimated Revenue Low         251373609508.0 265197672206.0   \n",
       "      Estimated Revenue High        268839631176.0 283624221828.0   \n",
       "      Estimated Revenue Average     259058735507.0 273305434710.0   \n",
       "      Estimated EBITDA Low           61938363473.0  58883296895.0   \n",
       "      Estimated EBITDA High          92907545213.0  88324945342.0   \n",
       "...                                            ...            ...   \n",
       "GOOGL Estimated SGA Expense Average  26436422037.0  22238024823.0   \n",
       "      Estimated EPS Average                  2.321         2.6168   \n",
       "      Estimated EPS High                    2.4261         2.7353   \n",
       "      Estimated EPS Low                     2.2488         2.5354   \n",
       "      Number of Analysts                      25.0           18.0   \n",
       "\n",
       "date                                          2021           2022  \\\n",
       "AAPL  Estimated Revenue Low         355320074190.0 381124881556.0   \n",
       "      Estimated Revenue High        380008537419.0 407606322677.0   \n",
       "      Estimated Revenue Average     366183106095.0 392776831583.0   \n",
       "      Estimated EBITDA Low           85099128888.0 100742070266.0   \n",
       "      Estimated EBITDA High         127648693332.0 151113105399.0   \n",
       "...                                            ...            ...   \n",
       "GOOGL Estimated SGA Expense Average  28527383450.0  39467175911.0   \n",
       "      Estimated EPS Average                 5.4287         4.7171   \n",
       "      Estimated EPS High                    5.6745         4.9307   \n",
       "      Estimated EPS Low                     5.2598         4.5704   \n",
       "      Number of Analysts                      21.0           24.0   \n",
       "\n",
       "date                                          2023           2024  \\\n",
       "AAPL  Estimated Revenue Low         384446576511.0 382152842284.0   \n",
       "      Estimated Revenue High        386663161851.0 400922648035.0   \n",
       "      Estimated Revenue Average     385706000000.0 388204694890.0   \n",
       "      Estimated EBITDA Low          110816277291.0 119512754050.0   \n",
       "      Estimated EBITDA High         166224415938.0 125382738334.0   \n",
       "...                                            ...            ...   \n",
       "GOOGL Estimated SGA Expense Average  43413893500.0  52561867233.0   \n",
       "      Estimated EPS Average                 5.8428         6.8078   \n",
       "      Estimated EPS High                    6.1074           7.51   \n",
       "      Estimated EPS Low                      5.661           6.15   \n",
       "      Number of Analysts                      37.0           39.0   \n",
       "\n",
       "date                                          2025           2026  \\\n",
       "AAPL  Estimated Revenue Low         397392189497.0 422670922443.0   \n",
       "      Estimated Revenue High        439345198864.0 452039078887.0   \n",
       "      Estimated Revenue Average     412561696770.0 435593039850.0   \n",
       "      Estimated EBITDA Low          124278638674.0 132184195454.0   \n",
       "      Estimated EBITDA High         137398833359.0 141368660071.0   \n",
       "...                                            ...            ...   \n",
       "GOOGL Estimated SGA Expense Average  58112977404.0  63786440026.0   \n",
       "      Estimated EPS Average                 7.8614         8.9948   \n",
       "      Estimated EPS High                      9.07          10.32   \n",
       "      Estimated EPS Low                       6.89           7.52   \n",
       "      Number of Analysts                      38.0           25.0   \n",
       "\n",
       "date                                          2027           2028  \n",
       "AAPL  Estimated Revenue Low         497329384872.0 543286363973.0  \n",
       "      Estimated Revenue High        531884984522.0 581035161168.0  \n",
       "      Estimated Revenue Average     512534000000.0 559896000000.0  \n",
       "      Estimated EBITDA Low          155532545828.0 169904923925.0  \n",
       "      Estimated EBITDA High         166339308006.0 181710312282.0  \n",
       "...                                            ...            ...  \n",
       "GOOGL Estimated SGA Expense Average  69400395489.0  76655699580.0  \n",
       "      Estimated EPS Average                10.6329        13.0375  \n",
       "      Estimated EPS High                   11.1143        13.6278  \n",
       "      Estimated EPS Low                     10.302        12.6318  \n",
       "      Number of Analysts                      15.0           12.0  \n",
       "\n",
       "[76 rows x 24 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_analyst_estimates()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ebc9f36",
   "metadata": {},
   "source": [
    "Both the Earnings and Dividend Calendars are available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5e6dfe4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining earnings calendars: 100%|██████████| 4/4 [00:00<00:00,  9.68it/s]\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>EPS</th>\n",
       "      <th>Estimated EPS</th>\n",
       "      <th>Revenue</th>\n",
       "      <th>Estimated Revenue</th>\n",
       "      <th>Fiscal Date Ending</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>2005-01-12</th>\n",
       "      <td>0.0126</td>\n",
       "      <td>0.0087</td>\n",
       "      <td>3490000000.0</td>\n",
       "      <td>2879249998.5</td>\n",
       "      <td>2004-12-25</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-04-13</th>\n",
       "      <td>0.0121</td>\n",
       "      <td>0.0087</td>\n",
       "      <td>3243000000.0</td>\n",
       "      <td>2675474997.75</td>\n",
       "      <td>2005-03-26</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-07-13</th>\n",
       "      <td>0.0133</td>\n",
       "      <td>0.0113</td>\n",
       "      <td>3520000000.0</td>\n",
       "      <td>2816000000.0</td>\n",
       "      <td>2005-06-25</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-10-11</th>\n",
       "      <td>0.0176</td>\n",
       "      <td>0.0172</td>\n",
       "      <td>3678000000.0</td>\n",
       "      <td>5792850000.0</td>\n",
       "      <td>2005-09-24</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-18</th>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0187</td>\n",
       "      <td>5749000000.0</td>\n",
       "      <td>5749000000.0</td>\n",
       "      <td>2005-12-31</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AMZN</th>\n",
       "      <th>2023-02-02</th>\n",
       "      <td>0.21</td>\n",
       "      <td>0.15</td>\n",
       "      <td>149204000000.0</td>\n",
       "      <td>155150000000.0</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-27</th>\n",
       "      <td>0.31</td>\n",
       "      <td>0.21</td>\n",
       "      <td>127358000000.0</td>\n",
       "      <td>124551000000.0</td>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-03</th>\n",
       "      <td>0.65</td>\n",
       "      <td>0.35</td>\n",
       "      <td>134383000000.0</td>\n",
       "      <td>119573000000.0</td>\n",
       "      <td>2023-06-30</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-26</th>\n",
       "      <td>0.94</td>\n",
       "      <td>0.58</td>\n",
       "      <td>143083000000.0</td>\n",
       "      <td>133393000000.0</td>\n",
       "      <td>2023-09-30</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-01</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>169961000000.0</td>\n",
       "      <td>166172000000.0</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>amc</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>308 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   EPS  Estimated EPS        Revenue  Estimated Revenue  \\\n",
       "     date                                                                 \n",
       "AAPL 2005-01-12 0.0126         0.0087   3490000000.0       2879249998.5   \n",
       "     2005-04-13 0.0121         0.0087   3243000000.0      2675474997.75   \n",
       "     2005-07-13 0.0133         0.0113   3520000000.0       2816000000.0   \n",
       "     2005-10-11 0.0176         0.0172   3678000000.0       5792850000.0   \n",
       "     2006-01-18   0.02         0.0187   5749000000.0       5749000000.0   \n",
       "...                ...            ...            ...                ...   \n",
       "AMZN 2023-02-02   0.21           0.15 149204000000.0     155150000000.0   \n",
       "     2023-04-27   0.31           0.21 127358000000.0     124551000000.0   \n",
       "     2023-08-03   0.65           0.35 134383000000.0     119573000000.0   \n",
       "     2023-10-26   0.94           0.58 143083000000.0     133393000000.0   \n",
       "     2024-02-01    1.0            0.8 169961000000.0     166172000000.0   \n",
       "\n",
       "                Fiscal Date Ending Time  \n",
       "     date                                \n",
       "AAPL 2005-01-12         2004-12-25  amc  \n",
       "     2005-04-13         2005-03-26  amc  \n",
       "     2005-07-13         2005-06-25  amc  \n",
       "     2005-10-11         2005-09-24  amc  \n",
       "     2006-01-18         2005-12-31  amc  \n",
       "...                            ...  ...  \n",
       "AMZN 2023-02-02         2022-12-31  amc  \n",
       "     2023-04-27         2023-03-31  amc  \n",
       "     2023-08-03         2023-06-30  amc  \n",
       "     2023-10-26         2023-09-30  amc  \n",
       "     2024-02-01         2023-12-31  amc  \n",
       "\n",
       "[308 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining dividend calendars: 100%|██████████| 4/4 [00:00<00:00,  9.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data found for the following tickers: AMZN, GOOGL\n"
     ]
    },
    {
     "data": {
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       "      <th>Adj Dividend</th>\n",
       "      <th>Dividend</th>\n",
       "      <th>Record Date</th>\n",
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       "      <th>Declaration Date</th>\n",
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       "      <th rowspan=\"5\" valign=\"top\">AAPL</th>\n",
       "      <th>2012-08-09</th>\n",
       "      <td>0.0946</td>\n",
       "      <td>2.65</td>\n",
       "      <td>2012-08-13</td>\n",
       "      <td>2012-08-16</td>\n",
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       "      <th>2012-11-07</th>\n",
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       "      <th>2013-02-07</th>\n",
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       "      <td>2013-02-11</td>\n",
       "      <td>2013-02-14</td>\n",
       "      <td>2013-01-24</td>\n",
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       "      <th>2013-05-09</th>\n",
       "      <td>0.1089</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2013-05-13</td>\n",
       "      <td>2013-05-16</td>\n",
       "      <td>2013-04-23</td>\n",
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       "    <tr>\n",
       "      <th>2013-08-08</th>\n",
       "      <td>0.1089</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2013-08-12</td>\n",
       "      <td>2013-08-15</td>\n",
       "      <td>2013-07-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">MSFT</th>\n",
       "      <th>2023-02-15</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2023-02-16</td>\n",
       "      <td>2023-03-09</td>\n",
       "      <td>2022-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-05-17</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2023-05-18</td>\n",
       "      <td>2023-06-08</td>\n",
       "      <td>2023-03-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-16</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2023-08-17</td>\n",
       "      <td>2023-09-14</td>\n",
       "      <td>2023-06-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-15</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2023-11-16</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2023-09-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-14</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2024-02-15</td>\n",
       "      <td>2024-03-14</td>\n",
       "      <td>2023-11-28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Adj Dividend  Dividend Record Date Payment Date  \\\n",
       "     date                                                          \n",
       "AAPL 2012-08-09        0.0946      2.65  2012-08-13   2012-08-16   \n",
       "     2012-11-07        0.0946      2.65  2012-11-12   2012-11-15   \n",
       "     2013-02-07        0.0946      2.65  2013-02-11   2013-02-14   \n",
       "     2013-05-09        0.1089      3.05  2013-05-13   2013-05-16   \n",
       "     2013-08-08        0.1089      3.05  2013-08-12   2013-08-15   \n",
       "...                       ...       ...         ...          ...   \n",
       "MSFT 2023-02-15          0.68      0.68  2023-02-16   2023-03-09   \n",
       "     2023-05-17          0.68      0.68  2023-05-18   2023-06-08   \n",
       "     2023-08-16          0.68      0.68  2023-08-17   2023-09-14   \n",
       "     2023-11-15          0.75      0.75  2023-11-16   2023-12-14   \n",
       "     2024-02-14          0.75      0.75  2024-02-15   2024-03-14   \n",
       "\n",
       "                Declaration Date  \n",
       "     date                         \n",
       "AAPL 2012-08-09       2012-07-24  \n",
       "     2012-11-07       2012-10-25  \n",
       "     2013-02-07       2013-01-24  \n",
       "     2013-05-09       2013-04-23  \n",
       "     2013-08-08       2013-07-24  \n",
       "...                          ...  \n",
       "MSFT 2023-02-15       2022-11-29  \n",
       "     2023-05-17       2023-03-14  \n",
       "     2023-08-16       2023-06-13  \n",
       "     2023-11-15       2023-09-19  \n",
       "     2024-02-14       2023-11-28  \n",
       "\n",
       "[124 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(companies.get_earnings_calendar())\n",
    "\n",
    "display(companies.get_dividend_calendar())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9865c32",
   "metadata": {},
   "source": [
    "It is also possible to look into Environmental, Social and Governance (ESG) data through `get_esg_scores`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b6cbf7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining ESG scores: 100%|██████████| 4/4 [00:00<00:00,  9.57it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Environmental Score</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Social Score</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Governance Score</th>\n",
       "      <th colspan=\"4\" halign=\"left\">ESG Score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>70.24</td>\n",
       "      <td>74.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.35</td>\n",
       "      <td>48.37</td>\n",
       "      <td>61.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.51</td>\n",
       "      <td>61.61</td>\n",
       "      <td>61.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.51</td>\n",
       "      <td>60.07</td>\n",
       "      <td>65.67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>67.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.78</td>\n",
       "      <td>46.73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.86</td>\n",
       "      <td>60.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.49</td>\n",
       "      <td>58.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>65.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>46.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.37</td>\n",
       "      <td>59.32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.89</td>\n",
       "      <td>57.07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>65.36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.35</td>\n",
       "      <td>47.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.88</td>\n",
       "      <td>60.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.07</td>\n",
       "      <td>57.71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>67.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.72</td>\n",
       "      <td>47.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.36</td>\n",
       "      <td>60.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.35</td>\n",
       "      <td>58.79</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>67.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.1</td>\n",
       "      <td>48.28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.09</td>\n",
       "      <td>62.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.15</td>\n",
       "      <td>59.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>65.49</td>\n",
       "      <td>75.44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.75</td>\n",
       "      <td>48.06</td>\n",
       "      <td>60.32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.26</td>\n",
       "      <td>61.3</td>\n",
       "      <td>62.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.45</td>\n",
       "      <td>58.29</td>\n",
       "      <td>66.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>67.26</td>\n",
       "      <td>74.91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.92</td>\n",
       "      <td>49.01</td>\n",
       "      <td>59.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.33</td>\n",
       "      <td>62.16</td>\n",
       "      <td>62.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.89</td>\n",
       "      <td>59.48</td>\n",
       "      <td>65.82</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>64.58</td>\n",
       "      <td>73.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.16</td>\n",
       "      <td>48.19</td>\n",
       "      <td>59.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.71</td>\n",
       "      <td>61.54</td>\n",
       "      <td>64.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.95</td>\n",
       "      <td>58.1</td>\n",
       "      <td>65.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>66.19</td>\n",
       "      <td>74.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.21</td>\n",
       "      <td>47.61</td>\n",
       "      <td>58.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.21</td>\n",
       "      <td>61.83</td>\n",
       "      <td>62.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.18</td>\n",
       "      <td>58.54</td>\n",
       "      <td>65.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>66.37</td>\n",
       "      <td>74.57</td>\n",
       "      <td>76.87</td>\n",
       "      <td>47.96</td>\n",
       "      <td>48.21</td>\n",
       "      <td>58.08</td>\n",
       "      <td>58.25</td>\n",
       "      <td>57.67</td>\n",
       "      <td>61.35</td>\n",
       "      <td>62.93</td>\n",
       "      <td>60.99</td>\n",
       "      <td>54.64</td>\n",
       "      <td>58.64</td>\n",
       "      <td>65.19</td>\n",
       "      <td>65.37</td>\n",
       "      <td>53.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>68.3</td>\n",
       "      <td>73.67</td>\n",
       "      <td>76.09</td>\n",
       "      <td>47.76</td>\n",
       "      <td>49.76</td>\n",
       "      <td>57.36</td>\n",
       "      <td>58.89</td>\n",
       "      <td>57.61</td>\n",
       "      <td>62.04</td>\n",
       "      <td>61.83</td>\n",
       "      <td>60.63</td>\n",
       "      <td>54.13</td>\n",
       "      <td>60.03</td>\n",
       "      <td>64.29</td>\n",
       "      <td>65.2</td>\n",
       "      <td>53.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>67.33</td>\n",
       "      <td>74.01</td>\n",
       "      <td>75.36</td>\n",
       "      <td>48.1</td>\n",
       "      <td>47.77</td>\n",
       "      <td>58.18</td>\n",
       "      <td>57.85</td>\n",
       "      <td>58.03</td>\n",
       "      <td>61.81</td>\n",
       "      <td>61.91</td>\n",
       "      <td>59.5</td>\n",
       "      <td>54.4</td>\n",
       "      <td>58.97</td>\n",
       "      <td>64.7</td>\n",
       "      <td>64.24</td>\n",
       "      <td>53.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>66.63</td>\n",
       "      <td>73.88</td>\n",
       "      <td>72.97</td>\n",
       "      <td>48.43</td>\n",
       "      <td>47.42</td>\n",
       "      <td>58.43</td>\n",
       "      <td>57.17</td>\n",
       "      <td>57.74</td>\n",
       "      <td>61.35</td>\n",
       "      <td>61.53</td>\n",
       "      <td>59.05</td>\n",
       "      <td>54.31</td>\n",
       "      <td>58.47</td>\n",
       "      <td>64.61</td>\n",
       "      <td>63.06</td>\n",
       "      <td>53.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>67.43</td>\n",
       "      <td>74.77</td>\n",
       "      <td>73.85</td>\n",
       "      <td>49.12</td>\n",
       "      <td>46.73</td>\n",
       "      <td>59.84</td>\n",
       "      <td>57.56</td>\n",
       "      <td>58.08</td>\n",
       "      <td>61.02</td>\n",
       "      <td>63.07</td>\n",
       "      <td>59.15</td>\n",
       "      <td>54.3</td>\n",
       "      <td>58.4</td>\n",
       "      <td>65.89</td>\n",
       "      <td>63.52</td>\n",
       "      <td>53.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>72.83</td>\n",
       "      <td>73.4</td>\n",
       "      <td>69.6</td>\n",
       "      <td>49.38</td>\n",
       "      <td>52.18</td>\n",
       "      <td>58.18</td>\n",
       "      <td>54.86</td>\n",
       "      <td>58.47</td>\n",
       "      <td>62.05</td>\n",
       "      <td>61.05</td>\n",
       "      <td>56.15</td>\n",
       "      <td>53.18</td>\n",
       "      <td>62.35</td>\n",
       "      <td>64.21</td>\n",
       "      <td>60.2</td>\n",
       "      <td>53.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>72.93</td>\n",
       "      <td>73.5</td>\n",
       "      <td>76.24</td>\n",
       "      <td>50.14</td>\n",
       "      <td>51.62</td>\n",
       "      <td>58.71</td>\n",
       "      <td>55.91</td>\n",
       "      <td>58.9</td>\n",
       "      <td>62.23</td>\n",
       "      <td>61.27</td>\n",
       "      <td>60.69</td>\n",
       "      <td>53.16</td>\n",
       "      <td>62.26</td>\n",
       "      <td>64.49</td>\n",
       "      <td>64.28</td>\n",
       "      <td>54.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>72.39</td>\n",
       "      <td>73.03</td>\n",
       "      <td>75.83</td>\n",
       "      <td>50.0</td>\n",
       "      <td>54.17</td>\n",
       "      <td>58.66</td>\n",
       "      <td>54.53</td>\n",
       "      <td>59.14</td>\n",
       "      <td>65.05</td>\n",
       "      <td>61.4</td>\n",
       "      <td>60.76</td>\n",
       "      <td>53.53</td>\n",
       "      <td>63.87</td>\n",
       "      <td>64.37</td>\n",
       "      <td>63.71</td>\n",
       "      <td>54.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>72.79</td>\n",
       "      <td>72.6</td>\n",
       "      <td>76.51</td>\n",
       "      <td>49.57</td>\n",
       "      <td>55.23</td>\n",
       "      <td>58.74</td>\n",
       "      <td>55.52</td>\n",
       "      <td>59.05</td>\n",
       "      <td>65.73</td>\n",
       "      <td>61.88</td>\n",
       "      <td>60.8</td>\n",
       "      <td>52.78</td>\n",
       "      <td>64.59</td>\n",
       "      <td>64.41</td>\n",
       "      <td>64.28</td>\n",
       "      <td>53.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Environmental Score                   Social Score                    \\\n",
       "                    AAPL  MSFT GOOGL  AMZN         AAPL  MSFT GOOGL  AMZN   \n",
       "date                                                                        \n",
       "2005               70.24 74.03   NaN 53.35        48.37 61.05   NaN 57.51   \n",
       "2006               67.88   NaN   NaN 52.78        46.73   NaN   NaN 57.86   \n",
       "2007               65.66   NaN   NaN  53.0        46.24   NaN   NaN 57.37   \n",
       "2008               65.36   NaN   NaN 52.35        47.53   NaN   NaN 55.88   \n",
       "2009               67.93   NaN   NaN 48.72        47.69   NaN   NaN 55.36   \n",
       "2010                67.1   NaN   NaN  48.1        48.28   NaN   NaN 55.09   \n",
       "2011               65.49 75.44   NaN 48.75        48.06 60.32   NaN 56.26   \n",
       "2012               67.26 74.91   NaN 47.92        49.01 59.68   NaN 55.33   \n",
       "2013               64.58 73.77   NaN 48.16        48.19 59.86   NaN 55.71   \n",
       "2014               66.19 74.57   NaN 49.21        47.61 58.08   NaN 57.21   \n",
       "2015               66.37 74.57 76.87 47.96        48.21 58.08 58.25 57.67   \n",
       "2016                68.3 73.67 76.09 47.76        49.76 57.36 58.89 57.61   \n",
       "2017               67.33 74.01 75.36  48.1        47.77 58.18 57.85 58.03   \n",
       "2018               66.63 73.88 72.97 48.43        47.42 58.43 57.17 57.74   \n",
       "2019               67.43 74.77 73.85 49.12        46.73 59.84 57.56 58.08   \n",
       "2020               72.83  73.4  69.6 49.38        52.18 58.18 54.86 58.47   \n",
       "2021               72.93  73.5 76.24 50.14        51.62 58.71 55.91  58.9   \n",
       "2022               72.39 73.03 75.83  50.0        54.17 58.66 54.53 59.14   \n",
       "2023               72.79  72.6 76.51 49.57        55.23 58.74 55.52 59.05   \n",
       "\n",
       "     Governance Score                   ESG Score                    \n",
       "                 AAPL  MSFT GOOGL  AMZN      AAPL  MSFT GOOGL  AMZN  \n",
       "date                                                                 \n",
       "2005            61.61 61.92   NaN 53.51     60.07 65.67   NaN 54.79  \n",
       "2006            60.15   NaN   NaN 53.49     58.25   NaN   NaN 54.71  \n",
       "2007            59.32   NaN   NaN 53.89     57.07   NaN   NaN 54.75  \n",
       "2008            60.23   NaN   NaN 53.07     57.71   NaN   NaN 53.77  \n",
       "2009            60.75   NaN   NaN 53.35     58.79   NaN   NaN 52.47  \n",
       "2010            62.38   NaN   NaN 53.15     59.25   NaN   NaN 52.12  \n",
       "2011             61.3 62.99   NaN 54.45     58.29 66.25   NaN 53.15  \n",
       "2012            62.16 62.87   NaN 53.89     59.48 65.82   NaN 52.38  \n",
       "2013            61.54 64.08   NaN 53.95      58.1  65.9   NaN  52.6  \n",
       "2014            61.83 62.88   NaN 55.18     58.54 65.17   NaN 53.87  \n",
       "2015            61.35 62.93 60.99 54.64     58.64 65.19 65.37 53.42  \n",
       "2016            62.04 61.83 60.63 54.13     60.03 64.29  65.2 53.17  \n",
       "2017            61.81 61.91  59.5  54.4     58.97  64.7 64.24 53.51  \n",
       "2018            61.35 61.53 59.05 54.31     58.47 64.61 63.06  53.5  \n",
       "2019            61.02 63.07 59.15  54.3      58.4 65.89 63.52 53.83  \n",
       "2020            62.05 61.05 56.15 53.18     62.35 64.21  60.2 53.68  \n",
       "2021            62.23 61.27 60.69 53.16     62.26 64.49 64.28 54.07  \n",
       "2022            65.05  61.4 60.76 53.53     63.87 64.37 63.71 54.22  \n",
       "2023            65.73 61.88  60.8 52.78     64.59 64.41 64.28  53.8  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_esg_scores()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13a07b74",
   "metadata": {},
   "source": [
    "When needing to work with treasury rates, `get_treasury_data` is excellent to obtain any range of treasury rates. These can be used to calculate excess returns and excess volatility as needed for performance metrics. The Toolkit parameter `risk_free_rate` also picks one of these rates as the risk free rate to use e.g. in Sharpe Ratio calculations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f8c6c922",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Open</th>\n",
       "      <th colspan=\"4\" halign=\"left\">High</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Low</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Return</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Volatility</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Cumulative Return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>13 Week</th>\n",
       "      <th>5 Year</th>\n",
       "      <th>10 Year</th>\n",
       "      <th>30 Year</th>\n",
       "      <th>13 Week</th>\n",
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       "      <th>10 Year</th>\n",
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       "      <th>10 Year</th>\n",
       "      <th>30 Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-01-03</th>\n",
       "      <td>0.022</td>\n",
       "      <td>0.0365</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.0486</td>\n",
       "      <td>0.0222</td>\n",
       "      <td>0.0366</td>\n",
       "      <td>0.0427</td>\n",
       "      <td>0.0487</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.0361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.001</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-04</th>\n",
       "      <td>0.0228</td>\n",
       "      <td>0.0362</td>\n",
       "      <td>0.0421</td>\n",
       "      <td>0.0481</td>\n",
       "      <td>0.0229</td>\n",
       "      <td>0.0373</td>\n",
       "      <td>0.0431</td>\n",
       "      <td>0.049</td>\n",
       "      <td>0.0228</td>\n",
       "      <td>0.0361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0142</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>1.0399</td>\n",
       "      <td>1.0212</td>\n",
       "      <td>1.0142</td>\n",
       "      <td>1.0129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-05</th>\n",
       "      <td>0.023</td>\n",
       "      <td>0.0373</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.0374</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>0.0228</td>\n",
       "      <td>0.0369</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.0066</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>1.0354</td>\n",
       "      <td>1.0229</td>\n",
       "      <td>1.0142</td>\n",
       "      <td>1.0062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-06</th>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0371</td>\n",
       "      <td>0.0429</td>\n",
       "      <td>0.0486</td>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0372</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.0487</td>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0368</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0023</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>1.0286</td>\n",
       "      <td>1.0185</td>\n",
       "      <td>1.0118</td>\n",
       "      <td>1.0077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-07</th>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0368</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.0484</td>\n",
       "      <td>0.0228</td>\n",
       "      <td>0.0375</td>\n",
       "      <td>0.0431</td>\n",
       "      <td>0.0486</td>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>-0.0002</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>1.0331</td>\n",
       "      <td>1.0267</td>\n",
       "      <td>1.0166</td>\n",
       "      <td>1.0075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-26</th>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>0.044</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.0427</td>\n",
       "      <td>0.0443</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0422</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0045</td>\n",
       "      <td>-0.0059</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>2.3675</td>\n",
       "      <td>1.1646</td>\n",
       "      <td>1.0033</td>\n",
       "      <td>0.9134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-27</th>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0421</td>\n",
       "      <td>0.0422</td>\n",
       "      <td>0.0439</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0422</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.044</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0418</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.0093</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>2.3662</td>\n",
       "      <td>1.1544</td>\n",
       "      <td>0.9943</td>\n",
       "      <td>0.9049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-28</th>\n",
       "      <td>0.0521</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0.0519</td>\n",
       "      <td>0.042</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0024</td>\n",
       "      <td>-0.0023</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>2.3607</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>0.9967</td>\n",
       "      <td>0.9028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>0.052</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0439</td>\n",
       "      <td>0.0523</td>\n",
       "      <td>0.0435</td>\n",
       "      <td>0.0434</td>\n",
       "      <td>0.0447</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0292</td>\n",
       "      <td>0.0274</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>2.3675</td>\n",
       "      <td>1.1957</td>\n",
       "      <td>1.0258</td>\n",
       "      <td>0.9275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-02</th>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0437</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0439</td>\n",
       "      <td>0.0441</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0434</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0074</td>\n",
       "      <td>0.0078</td>\n",
       "      <td>0.4867</td>\n",
       "      <td>0.0364</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>2.3662</td>\n",
       "      <td>1.1979</td>\n",
       "      <td>1.0334</td>\n",
       "      <td>0.9348</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4838 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open                           High                         \\\n",
       "           13 Week 5 Year 10 Year 30 Year 13 Week 5 Year 10 Year 30 Year   \n",
       "date                                                                       \n",
       "2005-01-03   0.022 0.0365  0.0426  0.0486  0.0222 0.0366  0.0427  0.0487   \n",
       "2005-01-04  0.0228 0.0362  0.0421  0.0481  0.0229 0.0373  0.0431   0.049   \n",
       "2005-01-05   0.023 0.0373   0.043  0.0489   0.023 0.0374   0.043  0.0489   \n",
       "2005-01-06  0.0227 0.0371  0.0429  0.0486  0.0227 0.0372   0.043  0.0487   \n",
       "2005-01-07  0.0227 0.0368  0.0426  0.0484  0.0228 0.0375  0.0431  0.0486   \n",
       "...            ...    ...     ...     ...     ...    ...     ...     ...   \n",
       "2024-03-26  0.0522 0.0423  0.0424   0.044  0.0522 0.0426  0.0427  0.0443   \n",
       "2024-03-27  0.0522 0.0421  0.0422  0.0439  0.0522 0.0422  0.0423   0.044   \n",
       "2024-03-28  0.0521 0.0424  0.0423  0.0438  0.0522 0.0424  0.0423  0.0438   \n",
       "2024-04-01   0.052 0.0423  0.0423  0.0439  0.0523 0.0435  0.0434  0.0447   \n",
       "2024-04-02  0.0522 0.0437  0.0438   0.045  0.0522 0.0439  0.0441  0.0455   \n",
       "\n",
       "               Low         ...  Return         Volatility                 \\\n",
       "           13 Week 5 Year  ... 10 Year 30 Year    13 Week 5 Year 10 Year   \n",
       "date                       ...                                             \n",
       "2005-01-03   0.022 0.0361  ...     0.0  -0.001     0.4867 0.0364   0.027   \n",
       "2005-01-04  0.0228 0.0361  ...  0.0142  0.0129     0.4867 0.0364   0.027   \n",
       "2005-01-05  0.0228 0.0369  ...     0.0 -0.0066     0.4867 0.0364   0.027   \n",
       "2005-01-06  0.0227 0.0368  ... -0.0023  0.0014     0.4867 0.0364   0.027   \n",
       "2005-01-07  0.0227 0.0356  ...  0.0047 -0.0002     0.4867 0.0364   0.027   \n",
       "...            ...    ...  ...     ...     ...        ...    ...     ...   \n",
       "2024-03-26  0.0522 0.0422  ... -0.0045 -0.0059     0.4867 0.0364   0.027   \n",
       "2024-03-27  0.0522 0.0418  ...  -0.009 -0.0093     0.4867 0.0364   0.027   \n",
       "2024-03-28  0.0519  0.042  ...  0.0024 -0.0023     0.4867 0.0364   0.027   \n",
       "2024-04-01   0.052 0.0423  ...  0.0292  0.0274     0.4867 0.0364   0.027   \n",
       "2024-04-02  0.0522 0.0434  ...  0.0074  0.0078     0.4867 0.0364   0.027   \n",
       "\n",
       "                   Cumulative Return                         \n",
       "           30 Year           13 Week 5 Year 10 Year 30 Year  \n",
       "date                                                         \n",
       "2005-01-03  0.0191               1.0    1.0     1.0     1.0  \n",
       "2005-01-04  0.0191            1.0399 1.0212  1.0142  1.0129  \n",
       "2005-01-05  0.0191            1.0354 1.0229  1.0142  1.0062  \n",
       "2005-01-06  0.0191            1.0286 1.0185  1.0118  1.0077  \n",
       "2005-01-07  0.0191            1.0331 1.0267  1.0166  1.0075  \n",
       "...            ...               ...    ...     ...     ...  \n",
       "2024-03-26  0.0191            2.3675 1.1646  1.0033  0.9134  \n",
       "2024-03-27  0.0191            2.3662 1.1544  0.9943  0.9049  \n",
       "2024-03-28  0.0191            2.3607 1.1632  0.9967  0.9028  \n",
       "2024-04-01  0.0191            2.3675 1.1957  1.0258  0.9275  \n",
       "2024-04-02  0.0191            2.3662 1.1979  1.0334  0.9348  \n",
       "\n",
       "[4838 rows x 40 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_treasury_data()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6eb7c4bf",
   "metadata": {},
   "source": [
    "There are several other functionalities within the `Toolkit` class which includes observing company profiles, company quotes, enterprise values and ratings. For example, after initialization you can call the functionality `get_profile`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5de0ccb7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining company profiles: 100%|██████████| 4/4 [00:00<00:00,  9.56it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>AMZN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Symbol</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>MSFT</td>\n",
       "      <td>GOOGL</td>\n",
       "      <td>AMZN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>168.975</td>\n",
       "      <td>421.1</td>\n",
       "      <td>153.0578</td>\n",
       "      <td>179.985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beta</th>\n",
       "      <td>1.289</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.044</td>\n",
       "      <td>1.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Average Volume</th>\n",
       "      <td>61281215</td>\n",
       "      <td>22740970</td>\n",
       "      <td>31247439</td>\n",
       "      <td>43970295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Market Capitalization</th>\n",
       "      <td>2609295052500</td>\n",
       "      <td>3128958284000</td>\n",
       "      <td>1908605780079</td>\n",
       "      <td>1869576189000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Last Dividend</th>\n",
       "      <td>0.96</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Range</th>\n",
       "      <td>159.78-199.62</td>\n",
       "      <td>275.37-430.82</td>\n",
       "      <td>102.63-155.74</td>\n",
       "      <td>97.705-183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Changes</th>\n",
       "      <td>-1.055</td>\n",
       "      <td>-3.47</td>\n",
       "      <td>-2.4322</td>\n",
       "      <td>-0.985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Company Name</th>\n",
       "      <td>Apple Inc.</td>\n",
       "      <td>Microsoft Corporation</td>\n",
       "      <td>Alphabet Inc.</td>\n",
       "      <td>Amazon.com, Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Currency</th>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "      <td>USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIK</th>\n",
       "      <td>320193</td>\n",
       "      <td>789019</td>\n",
       "      <td>1652044</td>\n",
       "      <td>1018724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISIN</th>\n",
       "      <td>US0378331005</td>\n",
       "      <td>US5949181045</td>\n",
       "      <td>US02079K3059</td>\n",
       "      <td>US0231351067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUSIP</th>\n",
       "      <td>37833100</td>\n",
       "      <td>594918104</td>\n",
       "      <td>02079K305</td>\n",
       "      <td>23135106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exchange</th>\n",
       "      <td>NASDAQ Global Select</td>\n",
       "      <td>NASDAQ Global Select</td>\n",
       "      <td>NASDAQ Global Select</td>\n",
       "      <td>NASDAQ Global Select</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exchange Short Name</th>\n",
       "      <td>NASDAQ</td>\n",
       "      <td>NASDAQ</td>\n",
       "      <td>NASDAQ</td>\n",
       "      <td>NASDAQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industry</th>\n",
       "      <td>Consumer Electronics</td>\n",
       "      <td>Software - Infrastructure</td>\n",
       "      <td>Internet Content &amp; Information</td>\n",
       "      <td>Specialty Retail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Website</th>\n",
       "      <td>https://www.apple.com</td>\n",
       "      <td>https://www.microsoft.com</td>\n",
       "      <td>https://www.abc.xyz</td>\n",
       "      <td>https://www.amazon.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Description</th>\n",
       "      <td>Apple Inc. designs, manufactures, and markets ...</td>\n",
       "      <td>Microsoft Corporation develops, licenses, and ...</td>\n",
       "      <td>Alphabet Inc. provides various products and pl...</td>\n",
       "      <td>Amazon.com, Inc. engages in the retail sale of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEO</th>\n",
       "      <td>Mr. Timothy D. Cook</td>\n",
       "      <td>Mr. Satya  Nadella</td>\n",
       "      <td>Mr. Sundar  Pichai</td>\n",
       "      <td>Mr. Andrew R. Jassy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sector</th>\n",
       "      <td>Technology</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Communication Services</td>\n",
       "      <td>Consumer Cyclical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <td>US</td>\n",
       "      <td>US</td>\n",
       "      <td>US</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Full Time Employees</th>\n",
       "      <td>161000</td>\n",
       "      <td>221000</td>\n",
       "      <td>182502</td>\n",
       "      <td>1525000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phone</th>\n",
       "      <td>408 996 1010</td>\n",
       "      <td>425 882 8080</td>\n",
       "      <td>650 253 0000</td>\n",
       "      <td>206 266 1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Address</th>\n",
       "      <td>One Apple Park Way</td>\n",
       "      <td>One Microsoft Way</td>\n",
       "      <td>1600 Amphitheatre Parkway</td>\n",
       "      <td>410 Terry Avenue North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City</th>\n",
       "      <td>Cupertino</td>\n",
       "      <td>Redmond</td>\n",
       "      <td>Mountain View</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <td>CA</td>\n",
       "      <td>WA</td>\n",
       "      <td>CA</td>\n",
       "      <td>WA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZIP Code</th>\n",
       "      <td>95014</td>\n",
       "      <td>98052-6399</td>\n",
       "      <td>94043</td>\n",
       "      <td>98109-5210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCF Difference</th>\n",
       "      <td>33.75215</td>\n",
       "      <td>110.35687</td>\n",
       "      <td>-39.96</td>\n",
       "      <td>131.34703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCF</th>\n",
       "      <td>136.27785466225376</td>\n",
       "      <td>314.21313251486214</td>\n",
       "      <td>195.4500023764009</td>\n",
       "      <td>49.622965330921566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IPO Date</th>\n",
       "      <td>1980-12-12</td>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>2004-08-19</td>\n",
       "      <td>1997-05-15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    AAPL  \\\n",
       "Symbol                                                              AAPL   \n",
       "Price                                                            168.975   \n",
       "Beta                                                               1.289   \n",
       "Average Volume                                                  61281215   \n",
       "Market Capitalization                                      2609295052500   \n",
       "Last Dividend                                                       0.96   \n",
       "Range                                                      159.78-199.62   \n",
       "Changes                                                           -1.055   \n",
       "Company Name                                                  Apple Inc.   \n",
       "Currency                                                             USD   \n",
       "CIK                                                               320193   \n",
       "ISIN                                                        US0378331005   \n",
       "CUSIP                                                           37833100   \n",
       "Exchange                                            NASDAQ Global Select   \n",
       "Exchange Short Name                                               NASDAQ   \n",
       "Industry                                            Consumer Electronics   \n",
       "Website                                            https://www.apple.com   \n",
       "Description            Apple Inc. designs, manufactures, and markets ...   \n",
       "CEO                                                  Mr. Timothy D. Cook   \n",
       "Sector                                                        Technology   \n",
       "Country                                                               US   \n",
       "Full Time Employees                                               161000   \n",
       "Phone                                                       408 996 1010   \n",
       "Address                                               One Apple Park Way   \n",
       "City                                                           Cupertino   \n",
       "State                                                                 CA   \n",
       "ZIP Code                                                           95014   \n",
       "DCF Difference                                                  33.75215   \n",
       "DCF                                                   136.27785466225376   \n",
       "IPO Date                                                      1980-12-12   \n",
       "\n",
       "                                                                    MSFT  \\\n",
       "Symbol                                                              MSFT   \n",
       "Price                                                              421.1   \n",
       "Beta                                                                0.89   \n",
       "Average Volume                                                  22740970   \n",
       "Market Capitalization                                      3128958284000   \n",
       "Last Dividend                                                          3   \n",
       "Range                                                      275.37-430.82   \n",
       "Changes                                                            -3.47   \n",
       "Company Name                                       Microsoft Corporation   \n",
       "Currency                                                             USD   \n",
       "CIK                                                               789019   \n",
       "ISIN                                                        US5949181045   \n",
       "CUSIP                                                          594918104   \n",
       "Exchange                                            NASDAQ Global Select   \n",
       "Exchange Short Name                                               NASDAQ   \n",
       "Industry                                       Software - Infrastructure   \n",
       "Website                                        https://www.microsoft.com   \n",
       "Description            Microsoft Corporation develops, licenses, and ...   \n",
       "CEO                                                   Mr. Satya  Nadella   \n",
       "Sector                                                        Technology   \n",
       "Country                                                               US   \n",
       "Full Time Employees                                               221000   \n",
       "Phone                                                       425 882 8080   \n",
       "Address                                                One Microsoft Way   \n",
       "City                                                             Redmond   \n",
       "State                                                                 WA   \n",
       "ZIP Code                                                      98052-6399   \n",
       "DCF Difference                                                 110.35687   \n",
       "DCF                                                   314.21313251486214   \n",
       "IPO Date                                                      1986-03-13   \n",
       "\n",
       "                                                                   GOOGL  \\\n",
       "Symbol                                                             GOOGL   \n",
       "Price                                                           153.0578   \n",
       "Beta                                                               1.044   \n",
       "Average Volume                                                  31247439   \n",
       "Market Capitalization                                      1908605780079   \n",
       "Last Dividend                                                          0   \n",
       "Range                                                      102.63-155.74   \n",
       "Changes                                                          -2.4322   \n",
       "Company Name                                               Alphabet Inc.   \n",
       "Currency                                                             USD   \n",
       "CIK                                                              1652044   \n",
       "ISIN                                                        US02079K3059   \n",
       "CUSIP                                                          02079K305   \n",
       "Exchange                                            NASDAQ Global Select   \n",
       "Exchange Short Name                                               NASDAQ   \n",
       "Industry                                  Internet Content & Information   \n",
       "Website                                              https://www.abc.xyz   \n",
       "Description            Alphabet Inc. provides various products and pl...   \n",
       "CEO                                                   Mr. Sundar  Pichai   \n",
       "Sector                                            Communication Services   \n",
       "Country                                                               US   \n",
       "Full Time Employees                                               182502   \n",
       "Phone                                                       650 253 0000   \n",
       "Address                                        1600 Amphitheatre Parkway   \n",
       "City                                                       Mountain View   \n",
       "State                                                                 CA   \n",
       "ZIP Code                                                           94043   \n",
       "DCF Difference                                                    -39.96   \n",
       "DCF                                                    195.4500023764009   \n",
       "IPO Date                                                      2004-08-19   \n",
       "\n",
       "                                                                    AMZN  \n",
       "Symbol                                                              AMZN  \n",
       "Price                                                            179.985  \n",
       "Beta                                                               1.171  \n",
       "Average Volume                                                  43970295  \n",
       "Market Capitalization                                      1869576189000  \n",
       "Last Dividend                                                          0  \n",
       "Range                                                       97.705-183.0  \n",
       "Changes                                                           -0.985  \n",
       "Company Name                                            Amazon.com, Inc.  \n",
       "Currency                                                             USD  \n",
       "CIK                                                              1018724  \n",
       "ISIN                                                        US0231351067  \n",
       "CUSIP                                                           23135106  \n",
       "Exchange                                            NASDAQ Global Select  \n",
       "Exchange Short Name                                               NASDAQ  \n",
       "Industry                                                Specialty Retail  \n",
       "Website                                           https://www.amazon.com  \n",
       "Description            Amazon.com, Inc. engages in the retail sale of...  \n",
       "CEO                                                  Mr. Andrew R. Jassy  \n",
       "Sector                                                 Consumer Cyclical  \n",
       "Country                                                               US  \n",
       "Full Time Employees                                              1525000  \n",
       "Phone                                                       206 266 1000  \n",
       "Address                                           410 Terry Avenue North  \n",
       "City                                                             Seattle  \n",
       "State                                                                 WA  \n",
       "ZIP Code                                                      98109-5210  \n",
       "DCF Difference                                                 131.34703  \n",
       "DCF                                                   49.622965330921566  \n",
       "IPO Date                                                      1997-05-15  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.get_profile()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b20be547",
   "metadata": {},
   "source": [
    "This is just a glimpse of what is available as there are nearly 200 different other metrics you can access directly in the Toolkit, visit the related Notebook by clicking on one of the buttons below.\n",
    "\n",
    "<style>\n",
    ".button {\n",
    "  color: #fff !important;\n",
    "  background-color: #58abc4;\n",
    "  display: inline-block;\n",
    "  margin-bottom: 0.25em;\n",
    "  padding: 0.5em 1em;\n",
    "  font-family: -apple-system,BlinkMacSystemFont,\"Roboto\",\"Segoe UI\",\"Helvetica Neue\",\"Lucida Grande\",Arial,sans-serif;\n",
    "  font-size: .75em;\n",
    "  font-weight: bold;\n",
    "  text-align: center;\n",
    "  text-decoration: none;\n",
    "  border-width: 0;\n",
    "  border-radius: 4px;\n",
    "  cursor: pointer;\n",
    "}\n",
    "\n",
    ".button-current {\n",
    "  background-color: #d67f05;\n",
    "}\n",
    "\n",
    "a:hover {\n",
    "  color: #fff !important;\n",
    "  font-weight: normal !important;\n",
    "}\n",
    "</style>\n",
    "\n",
    "<div style=\"display: flex; justify-content: space-between;\" class=\"show-on-desktop\">\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/getting-started\" target=\"_blank\" class=\"button button-current\" style=\"flex: 1;margin-right:5px\">Toolkit</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/discovery-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Discovery</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/ratios-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Ratios</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/models-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Models</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/options-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Options</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/technicals-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Technicals</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/risk-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Risk</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/performance-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Performance</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/economics-module\" target=\"_blank\" class=\"button\" style=\"flex: 1; \">Economics</a>\n",
    "</div>"
   ]
  }
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