Financial Due Diligence Analyzer
Run comprehensive financial due diligence on acquisition targets, investment opportunities, or partnership prospects. Built for PE firms, corporate development teams, and founders evaluating deals.
About this skill
The Financial Due Diligence Analyzer is a powerful AI agent skill designed to streamline and automate critical financial analysis for businesses. It enables AI agents to conduct in-depth due diligence on various financial aspects, including Quality of Earnings (QoE), working capital, revenue quality, debt analysis, and cash flow conversion. By processing provided financial statements and deal terms, the skill identifies key financial trends, risks, and potential deal-killers, offering a robust foundation for informed decision-making. This skill is particularly valuable for private equity firms, corporate development teams, and startup founders who need to quickly and thoroughly evaluate deals. It transforms raw financial data into actionable insights, helping users understand a target company's true financial health, identify normalization adjustments, and pinpoint areas of concern. The output is a structured diligence report that can directly inform negotiation strategies and investment decisions. The agent leverages detailed frameworks, such as an EBITDA normalization checklist and a revenue quality scoring system, to ensure a thorough and consistent analysis. It helps users uncover hidden liabilities, assess customer concentration risks, and understand the sustainability of earnings and cash flows, ultimately enhancing the efficiency and rigor of the due diligence process.
Best use case
The primary use case is for financial professionals and dealmakers—specifically private equity firms, corporate development teams, and founders—who are evaluating acquisition targets, investment opportunities, or strategic partnerships. This skill allows them to quickly generate a comprehensive financial due diligence report, enabling them to identify risks, assess value, and formulate negotiation strategies without manually sifting through extensive financial data.
Run comprehensive financial due diligence on acquisition targets, investment opportunities, or partnership prospects. Built for PE firms, corporate development teams, and founders evaluating deals.
Users should expect a detailed, structured financial due diligence report covering QoE, working capital, revenue quality, debt analysis, cash flow, and identified red flags, complete with findings, risks, and negotiation points.
Practical example
Example input
Run financial due diligence on 'Acme Corp'. I have their P&L, balance sheet, and cash flow statements for the last three years, plus a customer revenue breakdown. The proposed purchase price is $50M.
Example output
Here is the Financial Due Diligence Report for Acme Corp: **1. Quality of Earnings:** Normalized EBITDA $XM (adjusted for owner comp & one-time legal fees). **2. Working Capital:** NWC peg calculated at $YM, showing slight seasonal variations. **3. Revenue Quality:** Score 75/100, with top customer concentration at 18% (moderate risk). **4. Red Flags:** Identified potential contingent liability from pending lawsuit (medium severity). **Negotiation Points:** Address customer concentration, finalize contingent liability assessment.
When to use this skill
- Evaluating a company for acquisition or investment.
- Assessing the financial health of a potential strategic partner.
- Needing a quick, structured financial overview of a target company.
- Preparing for negotiations in an M&A or investment context.
When not to use this skill
- When only high-level, preliminary screening is required, not a deep dive.
- For very early-stage ventures with minimal or no established financial statements.
- If the primary need is for legal or tax due diligence, which falls outside its scope.
- As a substitute for a human auditor or certified financial analyst for final legal sign-off.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-financial-due-diligence/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Financial Due Diligence Analyzer Compares
| Feature / Agent | Financial Due Diligence Analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Run comprehensive financial due diligence on acquisition targets, investment opportunities, or partnership prospects. Built for PE firms, corporate development teams, and founders evaluating deals.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Financial Due Diligence Analyzer Run comprehensive financial due diligence on acquisition targets, investment opportunities, or partnership prospects. Built for PE firms, corporate development teams, and founders evaluating deals. ## What This Does Generates a complete due diligence package: - **Quality of Earnings (QoE)** — normalize EBITDA, strip one-time items, identify recurring vs non-recurring revenue - **Working Capital Analysis** — NWC trends, peg calculation, seasonal adjustments - **Revenue Quality** — customer concentration, churn, cohort analysis, contract backlog - **Debt & Liabilities** — hidden obligations, off-balance-sheet items, contingent liabilities - **Cash Flow Bridge** — EBITDA to free cash flow conversion, capex requirements - **Red Flag Scanner** — 23 common deal-killers ranked by severity ## How to Use Tell your agent: "Run financial due diligence on [company/deal]" Provide what you have: - Financial statements (P&L, balance sheet, cash flow) — even partial - Revenue breakdown by customer/product - Known deal terms (purchase price, structure) The agent will generate a structured diligence report with findings, risks, and negotiation points. ## QoE Framework ### EBITDA Normalization Checklist | Adjustment Category | Common Items | Direction | |---|---|---| | Owner compensation | Above/below market salary, personal expenses | +/- | | One-time revenue | PPP loans, insurance claims, litigation settlements | - | | One-time expenses | Restructuring, M&A costs, natural disaster | + | | Related party | Above/below market rent, intercompany charges | +/- | | Accounting changes | Revenue recognition timing, reserve adjustments | +/- | | Run-rate adjustments | New contracts, lost customers, price changes | +/- | ### Revenue Quality Score (0-100) | Factor | Weight | Scoring | |---|---|---| | Recurring vs one-time | 25% | >80% recurring = 25, >60% = 18, >40% = 12, <40% = 5 | | Customer concentration | 20% | Top customer <10% = 20, <20% = 15, <30% = 10, >30% = 3 | | Retention rate | 20% | >95% = 20, >90% = 15, >85% = 10, <85% = 5 | | Contract backlog | 15% | >12mo coverage = 15, >6mo = 10, >3mo = 6, <3mo = 2 | | Growth trajectory | 10% | >30% YoY = 10, >15% = 7, >5% = 4, declining = 1 | | Pricing power | 10% | Annual increases + low churn = 10, some = 6, none = 2 | ### Working Capital Peg ``` NWC Peg = Average of trailing 12 months normalized NWC Normalized NWC = Current Assets (excl. cash) - Current Liabilities (excl. debt) Adjustments: - Remove seasonal spikes (use monthly data, not quarterly) - Strip one-time receivables/payables - Normalize inventory to steady-state - Adjust for known post-close changes If NWC at close > Peg → Seller receives difference If NWC at close < Peg → Buyer receives difference ``` ## Red Flag Scanner (23 Points) ### Critical (Deal-killers) 1. Revenue concentration >40% single customer 2. Declining revenue with no credible turnaround plan 3. Negative or deteriorating cash conversion (EBITDA to FCF <50%) 4. Undisclosed litigation or regulatory action 5. Key person dependency with no succession plan 6. Material related-party transactions at off-market terms 7. Unrecorded liabilities (tax, environmental, legal) ### Serious (Price adjustments) 8. Customer churn accelerating quarter-over-quarter 9. Gross margin compression >200bps annually 10. Capex requirements understated (deferred maintenance) 11. Working capital trends moving against buyer 12. Aggressive revenue recognition policies 13. Unusual pre-close transactions (dividends, bonuses) 14. Technology debt requiring material investment 15. Regulatory changes threatening core business model ### Notable (Negotiation points) 16. Management team retention risk 17. Vendor concentration >30% single supplier 18. IP ownership gaps or licensing dependencies 19. Insurance coverage gaps 20. Environmental liabilities (real estate) 21. Employee benefit obligations (pension, OPEB) 22. Tax position optimization opportunities 23. Integration complexity indicators ## Valuation Sanity Check ### Quick Multiples Reference (2025-2026) | Sector | EV/Revenue | EV/EBITDA | Notes | |---|---|---|---| | SaaS (<$10M ARR) | 4-8x | 15-25x | Higher for >120% NRR | | SaaS ($10-50M ARR) | 6-12x | 20-35x | Rule of 40 premium | | Professional Services | 1-2x | 8-12x | People-dependent discount | | Manufacturing | 0.5-1.5x | 6-10x | Asset-heavy adjustment | | Healthcare Services | 1-3x | 10-15x | Regulatory moat premium | | Fintech | 5-15x | 20-40x | Wide range, growth-dependent | | E-commerce | 1-3x | 10-18x | Brand and margin quality | ### Purchase Price Allocation ``` Enterprise Value - Net Debt (total debt - cash) - Transaction Expenses - Working Capital Adjustment (vs Peg) + Earnout (if applicable, risk-adjusted at 50-70% probability) = Equity Value to Seller ``` ## Output Format Your due diligence report should include: 1. **Executive Summary** — deal overview, key findings, go/no-go recommendation 2. **Quality of Earnings** — normalized EBITDA bridge with adjustments 3. **Revenue Analysis** — quality score, concentration, trends 4. **Working Capital** — NWC peg, seasonal analysis, close estimate 5. **Cash Flow** — EBITDA to FCF bridge, capex analysis 6. **Red Flags** — scored findings with severity and $ impact 7. **Valuation Check** — multiples comparison, sanity test 8. **Negotiation Points** — specific items for purchase agreement --- Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business operations ($47 each). **More tools:** - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Deploy AI agents in minutes - [Full Context Pack Store](https://afrexai-cto.github.io/context-packs/) — 10 industry packs, $47 each
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