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Forensic stock screening for serious investors

EarningsGrade applies the 18-point forensic accounting framework from Howard Schilit's Financial Shenanigans to detect earnings manipulation, accounting red flags, and financial distress signals across US public companies. Every screening combines quantitative checks against five years of audited financial data with three peer-reviewed academic models: the Beneish M-Score (1999) for manipulation detection, the Altman Z-Score (1968, revised 1993) for distress prediction, and the Dechow F-Score (2011) for misstatement risk.

Beyond automated screening, we publish hand-written deep reports for 510 NASDAQ 100 and S&P 500 companies. Every report is built on the actual 10-K filing downloaded from SEC EDGAR. Risk factors come from the company's own Item 1A. Auditor opinions and Critical Audit Matters are quoted directly from the audit report. MD&A insights reference Item 7. Where the algorithmic grade is overridden by sector context (banks, REITs, capital-intensive utilities, buyback-driven negative equity), we document the reason and explain the adjustment.

EarningsGrade is a screening tool, not investment advice. Our goal is to help investors identify companies worth investigating further or avoiding entirely — to screen out, not to pick winners. Grades A through F reflect financial statement quality and red flag density, not buy or sell recommendations. We currently cover the full S&P 500 with 510 hand-written reports.