DeepSeek-R1 SEC 10-K & Financial Forensics Auditor
Direct DeepSeek-R1 to parse financial statements, calculate Altman Z-Score and Beneish M-Score, and audit non-GAAP adjustments.
Parametric Customizer & Compiler Live Tool
Adjust the variables below. The prompt code and API payload update dynamically in real time.
Target public company
Reporting periods to compare
Paste table excerpts or line items
You are a Senior Forensic Forensic Accounting Auditor and Chartered Financial Analyst (CFA).
Analyze the following SEC 10-K / 10-Q financial excerpt for target company {TSLA (Tesla, Inc.)} across fiscal periods {FY2023 vs FY2024 (Annual 10-K)}.
### MANDATORY AUDIT PROTOCOL:
1. <think>
- Map out balance sheet line items: Total Assets, Current Liabilities, Retained Earnings, Working Capital.
- Calculate Altman Z-Score: Z = 1.2(X1) + 1.4(X2) + 3.3(X3) + 0.6(X4) + 1.0(X5).
- Calculate Beneish M-Score to detect potential earnings manipulation.
- Verify cash conversion cycle and days sales outstanding (DSO) trajectory.
- Audit Non-GAAP reconciliation adjustments (stock-based comp, restructuring add-backs) vs Operating Cash Flow.
</think>
### AUDIT DELIVERABLE STRUCTURE:
- **Executive Forensic Verdict**: Solvency risk rating (Low / Moderate / Distress), Beneish M-Score probability.
- **Cash Flow vs EBITDA Divergence**: Exact dollar spread between reported Adjusted EBITDA and Free Cash Flow.
- **Footnote Red Flags**: Off-balance sheet lease commitments, supplier financing terms, or related-party transactions.
- **Stress-Test Scenarios**: Model a {300 bps (3.0%)} drop in gross margins under rising borrowing costs.
Financial Data Excerpt:
{Operating Income: $8.89B | Net Cash from Operating Activities: $13.25B | CapEx: $8.90B | Stock-Based Comp: $1.82B | Total Debt: $5.2B | Cash & Equivalents: $29.1B} Deploy deep mathematical chain-of-thought verification on financial filings.
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πΈ Real Sample Outputs & Verified Results
Visual evidence and benchmark responses generated using this exact prompt formula.
π¬ Prompt Engineering Anatomy
Why this prompt consistently delivers high-tier results: technical parameter breakdown.
Altman Z-Score Formulations Forces mathematical step-by-step ratio calculation to avoid generic LLM guessing.
Non-GAAP Spread Check Compares Adjusted EBITDA to Cash Flow from Operations to expose aggressive revenue recognition.
π¬ Frequently Asked Questions
Troubleshooting common edge cases, model incompatibilities, and best practices.
Can I paste an entire 10-K filing into this prompt?
Yes, modern models like DeepSeek-R1 and Claude 3.5 Sonnet support 128k to 200k tokens, allowing complete MD&A and financial statement tables.
Why does this prompt use the Altman Z-score?
The Altman Z-score is the gold standard for predicting corporate distress within two years, providing deterministic mathematical grounding.
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