Financial Statements

The financial-statements skill enables AI agents to extract, parse, and analyze data from complex financial documents like 10-Ks, 10-Qs, and earnings reports. It handles various file formats including PDFs, HTML tables, and plain text to deliver structured insights on revenue, expenses, and liabilities.

When to use it

• Analyze quarterly earnings reports to identify trends in operating income or net profit margins.
• Extract specific line items such as "Total Assets" or "Cost of Revenue" from unstructured PDF filings.
• Compare financial metrics across multiple companies by processing their annual 10-K documents simultaneously.
• Validate reported figures against raw data tables to ensure accuracy in investment research.

Key capabilities

• Parses diverse file formats including PDF, HTML, and plain text.
• Extracts structured data from complex financial tables and layouts.
• Identifies key metrics like revenue, expenses, assets, and liabilities.
• Handles large document volumes efficiently for comparative analysis.

Example prompts

• "Extract the total revenue and net income figures from this 10-K filing."
• "Summarize the cash flow statement trends found in the attached quarterly report."
• "List all operating expenses categorized by department from this earnings call transcript."

Tips & gotchas

Ensure uploaded documents are high-quality scans or clear digital files to avoid parsing errors. The skill relies on accurate table structures, so verify results if the source document contains merged cells or unusual formatting.