Concept: Forensic Accounting
Forensic accounting is the art of detecting financial manipulation, fraud, and aggressive accounting by analysing published financial statements. You're look...
What it is
Forensic accounting is the art of detecting financial manipulation, fraud, and aggressive accounting by analysing published financial statements. You're looking for things the company doesn't WANT you to find — discrepancies, patterns, and red flags that suggest profits are overstated or assets are fictitious.
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"Forensic accounting matlab — company ke financial statements mein jhooth pakadna. Detective ban ke dekhna ki kya cheezein tally nahi kar rahi hain."
Why Indian investors need this skill
India has had more corporate frauds per decade than most developed markets:
- Satyam (2008): ₹7,000 Cr fictitious cash
- Manpasand (2019): Channel stuffing exposed
- DHFL (2019): ₹30,000+ Cr siphoned
- Bhushan Steel (2017): Fund diversion
- PC Jeweller (2018): Revenue manipulation
Rules of forensic analysis:
- Trust numbers, not narratives
- Cash flow statement is hardest to manipulate (start here)
- Balance sheet manipulation shows up as growing gaps between profit and cash
- Auditors can be complicit — don't assume clean audit = safe
The Beneish M-Score model
A statistical model with 8 factors that detects earnings manipulation. Score > -1.78 = likely manipulator.
$$M = -4.84 + 0.92 \times DSRI + 0.528 \times GMI + 0.404 \times AQI + 0.892 \times SGI$$ $$+ 0.115 \times DEPI - 0.172 \times SGAI + 4.679 \times TATA - 0.327 \times LVGI$$
| Factor | Code | What it detects |
|---|---|---|
| Days Sales Receivable Index | DSRI | Revenue recognition manipulation |
| Gross Margin Index | GMI | Operating deterioration being hidden |
| Asset Quality Index | AQI | Aggressive capitalisation of expenses |
| Sales Growth Index | SGI | High growth = higher incentive to manipulate |
| Depreciation Index | DEPI | Policies extended to boost profit |
| SGA Expense Index | SGAI | Cost-cutting sustainability |
| Total Accruals to Total Assets | TATA | Accruals quality — the #1 red flag indicator |
| Leverage Index | LVGI | Debt increase signalling financial stress |
The 12 red-flag tests (simplified)
Cash flow tests (MOST reliable)
| # | Test | Red flag if... |
|---|---|---|
| 1 | CFO vs PAT | CFO/PAT < 0.5 for 3+ years |
| 2 | Accrual ratio | (PAT - CFO) / Total Assets > 10% |
| 3 | Cash tax vs P&L tax | Significant and persistent difference |
Revenue tests
| # | Test | Red flag if... |
|---|---|---|
| 4 | Receivable days trend | Rising > 30% over 3 years alongside revenue growth |
| 5 | Revenue concentration | > 50% from related parties or < 5 customers |
| 6 | Other income % | > 20% of PBT coming from non-operational sources |
Balance sheet tests
| # | Test | Red flag if... |
|---|---|---|
| 7 | CWIP proportion | CWIP / Gross Block > 30% for 3+ years |
| 8 | Goodwill & Intangibles | > 30% of total assets (M&A overpayment) |
| 9 | Inventory vs revenue | Inventory growing faster than revenue for 3+ years |
Governance tests
| # | Test | Red flag if... |
|---|---|---|
| 10 | Auditor change | Changed within 2 years without clear reason |
| 11 | Audit qualification | Any qualification, emphasis of matter, or disclaimer |
| 12 | Related-party loans | Any non-zero loans to promoter group entities |
How companies manipulate (with detection methods)
Method: Fake invoices to related parties, bill-and-hold, channel stuffing
Detection:
- Receivable days spiking while revenue grows
- Revenue growth disconnected from industry growth
- Cash collection < revenue booked
Indian example: Manpasand Beverages — revenue grew 30% annually but receivable days tripled
Method: Capitalise operating expenses, extend useful life of assets, reduce provisions
Detection:
- CWIP growing without proportional capacity addition
- D&A as % of gross block declining over time
- Provision for bad debts declining even as receivables grow
Indian example: Various real estate companies capitalise interest forever without completing projects
Method: Fake bank statements, show cash that doesn't exist
Detection:
- Very high cash balance but no dividends/buybacks (why hoard?)
- Interest income inconsistent with cash balance (if ₹7,000 Cr cash at 6% = ₹420 Cr interest. Is it showing that?)
- Cash balance grows but never deployed productively
Indian example: Satyam showed ₹7,000 Cr cash that didn't exist
Method: Loans to promoter entities, overpriced related-party deals, round-tripping
Detection:
- Loans & advances to related parties (in notes)
- Inter-corporate deposits to unlisted entities
- Revenue from company → related party → back to promoter (round-tripping)
Indian example: DHFL — loans to shell companies that bought promoter's real estate
The progression: from suspicion to conviction
Common mistakes
Mistakes to avoid
- Assuming one red flag = fraud — Sometimes receivable days rise for genuine reasons (govt customer). Look for CLUSTERS of red flags
- Only checking annual data — Quarterly data can show intra-year manipulations that wash out annually
- Trusting standalone over consolidated — Frauds often hide in subsidiaries. ALWAYS use consolidated numbers
- Not reading audit report — The emphasis of matter paragraph is where auditors bury important concerns
- Hindsight bias — Red flags are obvious AFTER the fraud. Train yourself to spot them in real-time
Related concepts
- Earnings Quality — Forensic accounting is the deep version of earnings quality analysis
- Corporate Governance — Governance failures enable the manipulation that forensic accounting detects
- Circle of Competence — Forensic skills expand your circle by letting you confidently avoid frauds
