Corporate DEI and ESG Text Counts from SEC Filings

Encompassing text counts from Edgar 10-K filings for S&P 500 and 600 companies as of mid-2025. It supports an analysis of changes in corporate DEI and ESG verbiage using Python code.

Use Cases

• Analyze temporal changes in DEI and ESG verbiage counts across S&P 500 and 600 company filings.
• Compare text count patterns between S&P 500 and S&P 600 companies using the provided Excel workbooks.
• Replicate the text analysis methodology using the associated Python code for downloading Edgar 10-Ks.

Strengths

• Data covers S&P 500 and S&P 600 companies, providing a broad corporate sample.
• Includes associated Python code for downloading and processing Edgar 10-K filings.

Limitations

• Dataset size, row count, and specific column features are unknown.
• Data is limited to a single point in time (mid-2025) with no explicit time range for historical analysis.

Provenance

Source

Edgar 10-K filings for S&P 500 and 600 companies.

Collection Method

Text counts extracted using Python code.

Time Range

As of mid-2025.

Freshness

Last updated February 2026.

Geography

United States corporate communications.