SkillsLib.ai

Financial Statement Forensics Analyzer

Uncover financial red flags and earnings quality issues in multi-year statements

4.3(20 reviews)
100+ downloads
Updated Nov 2026
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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

Working Capital Forensics

Detect inventory and receivables manipulation by comparing growth rates to revenue trends and identifying inflated asset values masking deteriorating operations

Revenue Recognition Analysis

Uncover timing issues, channel shift anomalies, and one-time boosts by decomposing revenue by segment and analyzing days sales outstanding (DSO) trends

Cash Flow vs. Earnings Quality

Quantify the divergence between operating cash flow and net income to expose unsustainable earnings driven by accounting rather than cash generation

Earnings Quality Scoring

Generate forensic red flag summaries with quantified anomaly severity across accruals, receivables, inventory, and capex metrics

Restructuring & Write-Down Analysis

Isolate one-time charges and discontinued operations to calculate normalized earnings and identify patterns of delayed impairments

Peer Forensic Comparison

Benchmark working capital efficiency, cash conversion cycles, and accruals ratios against industry peers to spot outliers requiring deeper investigation

Management Guidance Validation

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

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