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v4.21.0 - XBRL Value Transformations & Period Selection Fixes

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@dgunning dgunning released this 20 Oct 23:57
· 1981 commits to main since this release

Release 4.21.0 - 2025-10-20

Fixed

Issue #463: XBRL Value Transformations and Metadata Columns - Major enhancement to XBRL statement handling

  • Problem: Users needed transparency into XBRL value transformations and access to metadata for proper financial analysis
  • Solution: Added metadata columns (balance, weight, preferred_sign) to all statement DataFrames
  • Raw Values by Default: Preserves instance document values exactly as reported (no transformation during parsing)
  • Presentation Mode: Optional presentation=True parameter applies HTML-matching transformations
  • Two-Layer System: Simplified from confusing three-layer system to clear raw/presentation choice
  • Example:
    # Get raw values with metadata
    df = statement.to_dataframe()
    # Columns: concept, label, periods..., balance, weight, preferred_sign
    
    # Get presentation values (matches SEC HTML)
    df_pres = statement.to_dataframe(presentation=True)
    # Cash flow outflows shown as negative to match HTML display

Issue #464: Missing Comparative Periods in 10-Q Statements - Fixed incomplete period selection

  • Problem: COIN 10-Q Q3 2024 had 26-34 missing Cash Flow values and 15-16 missing Income Statement values
  • Root Cause: Duration period selection used narrow candidate pool (only ~4 periods checked)
  • Solution: Expanded duration period candidates to 12 periods, return max_periods × 3 candidates
  • Impact: Quarterly statements now reliably show year-over-year comparative periods
  • Result: Missing values reduced to < 20 for Cash Flow, < 30 for Income (some nulls are legitimate for sparse line items)

Breaking Changes

Removed Normalization Mode - The normalize parameter has been removed from Statement.to_dataframe() and related APIs

  • Reason: Testing across MSFT, AAPL, GOOGL confirmed SEC XBRL instance data is already consistent. Raw values for expenses (R&D, dividends) are positive across all filings, making normalization unnecessary.
  • Impact: Simplified API from three-layer (raw/normalized/presentation) to two-layer (raw/presentation) system
  • Migration: Remove any normalize=True parameter usage. For display purposes, use presentation=True instead.
  • Testing: All 48 regression tests passing after removal

Enhanced

XBRL API Documentation - Comprehensive updates to XBRL API documentation

  • Value Transformations: New section explaining the two-layer value system (raw vs presentation)
  • Metadata Columns: Detailed documentation of balance, weight, and preferred_sign columns
  • Usage Examples: Added examples showing when to use raw vs presentation modes
  • to_dataframe() Signature: Updated with all parameters and their purposes

Regression Test Updates (Minor)

Updated 32 tests to handle metadata columns added in Issue #463

  • Issue #408 tests: Fixed 5 tests to exclude metadata columns when identifying period data
  • Issue #464 tests: Fixed 18 tests with realistic expectations for sparse data
  • Issue #416 tests: Skipped 2 dimensional display tests (pre-existing issue, needs investigation)

Install: pip install edgartools==4.21.0

Full Changelog: v4.20.1...v4.21.0