lib-edgartools

You can extract financial statements from SEC EDGAR filings by retrieving forms like 10-K and 10-Q, then parsing XBRL data into usable Python objects for analysis. This simplifies accessing structured financial data.

Yes, you can retrieve company information from SEC EDGAR programmatically. The skill fetches company profiles, tickers, CIKs, and industry classifications directly, enabling company screening and identification for analysis.

The best way to analyze multi-period financial performance is to fetch historical 10-K filings, extract income statements, and compare key metrics like revenue and net income across different years. This supports detailed multi-period financial analysis.

Yes, this approach works with AI tools for interpreting XBRL data. It integrates with AI workflows to enhance data interpretation and automate the extraction of financial statements from various SEC forms.

You can access multiple types of SEC forms for financial data extraction, including 10-K, 10-Q, 8-K, and Form 4. This enables comprehensive retrieval of company information and structured financial data.

To find SEC filings for a specific company, you can search by its ticker symbol, such as AAPL for Apple Inc. The system uses the ticker to locate the corresponding CIK and retrieve the relevant financial filings.