Financial Statement Forensics Analyzer
Uncover financial red flags and earnings quality issues in multi-year statements
What You Can Do
You can rapidly decompose multi-year financial statements to distinguish between legitimate business performance and accounting manipulation or one-time distortions. This skill helps you identify suspicious patterns in working capital trends, revenue recognition timing, asset impairment practices, and cash flow divergence from reported profits—enabling you to validate investment theses with forensic rigor and reduce the risk of catastrophic research errors.
Features
Detect inventory and receivables manipulation by comparing growth rates to revenue trends and identifying inflated asset values masking deteriorating operations
Uncover timing issues, channel shift anomalies, and one-time boosts by decomposing revenue by segment and analyzing days sales outstanding (DSO) trends
Quantify the divergence between operating cash flow and net income to expose unsustainable earnings driven by accounting rather than cash generation
Generate forensic red flag summaries with quantified anomaly severity across accruals, receivables, inventory, and capex metrics
Isolate one-time charges and discontinued operations to calculate normalized earnings and identify patterns of delayed impairments
Benchmark working capital efficiency, cash conversion cycles, and accruals ratios against industry peers to spot outliers requiring deeper investigation
Track guidance misses and resets to assess earnings quality and identify patterns of aggressive forecasting or systematic accounting adjustments
Example Output
Example 1: Working Capital Red Flag Detection
Company: SalesForce Analytics (hypothetical)
- DSO increased 15 days YoY while revenue grew 12%
- Inventory turnover declined 22% despite flat COGS
- Forensic Flag: Potential channel stuffing or sales acceleration near quarter-end
- Recommendation: Validate with cutoff analysis and customer concentration review
Example 2: Cash Flow Divergence
- Net Income: $450M (YoY +18%)
- Operating Cash Flow: $320M (YoY +4%)
- Accruals Ratio: 29% (peer avg: 8%)
- Forensic Flag: Earnings quality deteriorating; high accruals driven by receivables and deferred revenue timing
- Risk Score: 7/10 — Earnings sustainability questionable without operational improvement
Example 3: Restructuring Normalization
Reported EBITDA: $185M | Adjusted EBITDA (excl. charges): $210M
- Write-downs over 3 years: $340M (suggests delayed asset impairment recognition)
- Forensic Insight: Management using restructuring to reset expectations; normalized earnings inflated by aggressive capex timing
- Investment Action: Reduce earnings multiple by 15-20% to reflect quality discount
What's Included
- SKILL.md instruction file with forensic analysis framework:
- Working Capital Forensics Template: Multi-year DSO, DIO, DPO tracking with red flag thresholds
- Earnings Quality Scorecard: Quantified forensic metrics (accruals ratio, cash conversion efficiency, working capital trends)
- Peer Comparison Forensics Checklist: Side-by-side forensic analysis of 3-5 competitors with anomaly flagging
- Cash Flow Decomposition Worksheet: Line-by-line operating cash flow vs. net income bridge with accruals analysis
- Management Guidance Validation Log: Guidance vs. actual tracking with miss pattern analysis and credibility assessment
Who It's For
- Equity research analysts initiating coverage or conducting deep dives on high-conviction thesis
- Investment bankers and M&A advisors validating acquisition targets for earnings quality and hidden liabilities
- Short sellers and forensic investors building evidence for controversial investment theses
- Credit analysts and private equity underwriters assessing earnings sustainability and covenant risk
- Corporate development teams evaluating acquisition targets pre-acquisition due diligence
Best For
- Validating earnings surprises to separate operational performance from accounting one-time items
- Detecting working capital manipulation and revenue recognition timing issues across multi-year periods
- Comparing forensic red flags across peer groups to identify outliers requiring deeper investigation
- Normalizing earnings and building conviction on turnaround or restructuring investment theses
- Building short theses by quantifying earnings quality deterioration and unsustainable accounting practices
You might also like
You'll architect backtesting systems that separate genuinely profitable strategies from curve-fitted fantasies. The skill guides you through modeling realistic market microstructure, accounting for transaction costs, detecting survivorship bias, and stress-testing strategies across regime changes. You'll implement walk-forward validation, out-of-sample testing, and Monte Carlo simulations to predict actual live performance and identify where backtest results diverge from real trading outcomes.
by fission
You can rapidly value complex structured notes, convertibles, and equity-linked instruments by breaking them into vanilla bonds and embedded derivatives. The skill guides you through scenario analysis, sensitivity testing, and credit spread modeling to identify secondary market mispricings, calculate Greeks, and stress-test barrier knockouts or coupon adjustments. Output includes fair value estimates, comparable valuation matrices, and hedge recommendations defensible to traders and risk committees.
by fission
You can construct rigorous development pro formas that model complex project dynamics—construction budgets, phased timelines, pre-leasing velocity, financing structures, and market assumptions—then run sensitivity analysis to show how changes in rent, construction costs, or hold periods impact returns. This skill produces defensible investment theses suitable for LP presentations, lender submissions, and institutional review committees by capturing interdependencies that simple models miss.
by fission
You can conduct rigorous competitive positioning analysis for SaaS companies by mapping competitors across pricing architecture, target buyer personas, feature differentiation, go-to-market efficiency, and retention dynamics. This skill transforms raw competitive data into structured frameworks that identify sustainable competitive advantages, market share vulnerabilities, and valuation implications—helping you differentiate your research thesis from consensus and reduce confirmation bias in your coverage.
by fission
You can rapidly evaluate multiple financing structures for M&A, recapitalizations, and growth transactions by modeling different capital stack configurations and comparing them against recent comparable transaction benchmarks. The skill helps you assess debt capacity, analyze covenant headroom across downside scenarios, and stress-test leverage under EBITDA decline, capex disruption, and refinancing risk—enabling you to present optimized structures that balance cost of capital, covenant flexibility, and stakeholder requirements in client presentations and pitch books.
by fission
You can ingest multi-property portfolio data and generate comprehensive financial diagnostics, including performance metrics, peer benchmarking, concentration risk analysis, and stress-test scenarios across economic conditions. Claude systematizes the analysis of 10-500+ heterogeneous assets (varying property types, leverage, lease structures, and markets) to identify underperformers, quantify rebalancing impact, and deliver executive summaries with specific buy/sell/hold recommendations backed by financial modeling.
by fission
You can systematically decompose portfolio returns to isolate alpha (manager skill) from beta (passive market exposure) and identify which specific positions, sectors, or factor exposures drove performance. The skill enables rigorous performance attribution across multiple timeframes, generates risk-adjusted performance metrics (Information Ratio, Sharpe ratio, CAPM alpha), and produces institutional-grade client reporting with statistical rigor to support manager evaluation and capital allocation decisions.
by fission
You can systematically evaluate corporate bond issuers by synthesizing quantitative metrics (leverage ratios, cash flow coverage, liquidity), qualitative factors (management quality, competitive positioning, covenant protections), and market signals (credit spreads, relative value) into a cohesive credit opinion. This framework enables you to construct ratings that withstand peer review, document credit theses for investment committees, and respond to market events with quantified analytical support.
by fission