Skip to content

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 

Repository files navigation

Analysing-Unicorn-Companies---SQL

Analysing Unicorn Companies using SQL

Investment Trends Analysis

Investment firms are constantly seeking insights into trends among high-growth companies to make informed decisions about their portfolios. Investment firms can leverage this information to gain a competitive edge in understanding industry trends and structuring their portfolios strategically. This project involves analyzing a PostgreSQL database containing information about unicorn companies, their valuations, funding, industries, and other relevant details.

Database Structure

The PostgreSQL database consists of the following tables:

  • dates

    • company_id: A unique ID for the company.
    • date_joined: The date the company became a unicorn.
    • year_founded: The year the company was founded.
  • funding

    • company_id: A unique ID for the company.
    • valuation: Company value in US dollars.
    • funding: The amount of funding raised in US dollars.
    • select_investors: A list of key investors in the company.
  • industries

    • company_id: A unique ID for the company.
    • industry: The industry in which the company operates.
  • companies

    • company_id: A unique ID for the company.
    • company: The name of the company.
    • city: The city where the company is headquartered.
    • country: The country where the company is headquartered.
    • continent: The continent where the company is headquartered.

Results

The SQL query results provide valuable insights into the trends among high-growth companies (unicorns) across different industries for the years 2019, 2020, and 2021. Here's an interpretation of the key information:

Industries with the Highest Number of Unicorns:

E-commerce & Direct-to-Consumer:

  • In 2019, there were 12 unicorn companies in this industry.
  • In 2020, the number increased to 16.
  • By 2021, there are 47 unicorn companies.

Fintech:

  • 2019 saw 20 unicorn companies in the fintech sector.
  • In 2020, the number remained high at 15.
  • However, in 2021, there is a significant surge to 138 unicorn companies, indicating substantial growth in this industry.

Internet Software & Services:

  • In 2019, there were 13 unicorn companies in this industry.
  • The number increased to 20 in 2020.
  • In 2021, it remains a strong industry with 119 unicorn companies.

Average Valuation (in Billions) of Unicorn Companies:

Fintech:

  • Fintech companies had the highest average valuation of $6.80 billion in 2019.
  • In 2020, the average valuation was $4.33 billion.
  • In 2021, it decreased to $2.75 billion, but it remains a lucrative industry.

Internet Software & Services:

  • This industry had a notable average valuation of $4.23 billion in 2019.
  • In 2020, the average increased to $4.35 billion.
  • By 2021, the average valuation decreased to $2.15 billion, but it continues to be a significant player.

E-commerce & Direct-to-Consumer:

  • E-commerce had an average valuation of $2.58 billion in 2019.
  • In 2020, the average increased to $4.00 billion.
  • By 2021, the average valuation slightly decreased to $2.47 billion.

Key Observations:

  • Fintech Dominance: Fintech emerged as a dominant industry in terms of the number of unicorn companies and high average valuations. The significant increase in the number of fintech unicorns in 2021 suggests a robust and growing sector.

  • Internet Software & Services Stability: While the number of companies in this industry increased, the average valuation remained relatively stable. It indicates a consistent presence and valuation within this sector.

  • E-commerce & Direct-to-Consumer Growth: The e-commerce industry witnessed substantial growth in the number of unicorn companies, particularly in 2021. Despite a slight decrease in average valuation, the industry remains dynamic.

These insights are crucial for investment firms, providing a comprehensive understanding of industry trends and assisting in strategic decision-making for portfolio structuring.

Releases

Packages

Contributors

Languages