financial-report-reader

To automate financial analysis and detect anomalies in corporate financial statements, input JSON data containing periods, income_statement, balance_sheet, and cash_flow. The tool outputs YoY and QoQ trends, key ratios, and anomaly alerts.

During a cash flow analysis, the tool detects financial anomalies such as cash flow diverging from profit and accounts receivable surges. It applies predefined anomaly detection rules to balance sheet and cash flow data.

You can use this tool for both quarterly and annual financial data. It accepts JSON input with period definitions to calculate QoQ and YoY changes, outputting structured financial reports with anomaly alerts.

The best way to extract YoY and QoQ financial trends from JSON data is to supply structured income statement, balance sheet, and cash flow objects. The tool processes these inputs to generate key financial ratios and trend changes.

No external dependencies are required to perform financial report analysis. The tool operates as a standalone script component, accepting standard JSON input to generate structured reports and anomaly alerts without external libraries.

For a comprehensive financial report analysis, the JSON input structure must include periods, income_statement, balance_sheet, and cash_flow arrays. Feeding this structured data generates a complete report with ratios, changes, and anomaly alerts.