🔬 Forensics

6 Signals · Earnings Quality · Cash Flow Integrity · Debt Trajectory · Capital Discipline — Every Signal Explained

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Published April 7, 2026  ·  Analysis Tab Series  ·  7 min read
🔬 Forensics — Quick-Learn Hub
Tap a card to reveal the answer. Master all 6 signals in under 5 minutes.
What does the Forensics tab measure?
6 signals examining earnings quality, capital discipline, and financial health — computed from 5 years of financial data. Each signal scores green / yellow / red, and together they produce an A–D grade.
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What is the Earnings Quality signal (CFO/PAT)?
Cash from Operations ÷ Net Profit, averaged over 5 years. ≥0.75x = Strong (green). 0.40–0.74x = Moderate (yellow). Below 0.40x = Weak (red). A high ratio means reported profits are backed by real cash flow.
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What does a low CFO/PAT ratio mean?
The company is reporting large profits but not generating matching cash from operations. This can indicate aggressive accounting, heavy working capital consumption, or non-cash income boosting the P&L. The lower the ratio, the more caution is warranted.
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What is the Non-Core Earnings signal?
Other Income (interest, dividends, asset sales) as % of Net Profit, averaged over 5 years. Under 15% = Low (green). 15–34% = Moderate (yellow). ≥35% = High (red). High % means core operations are not the primary profit driver.
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What does "Receivables Quality: Rising" mean?
Debtor days have trended upward over 5 years — the company is taking longer to collect payment. This can signal aggressive revenue recognition (booking sales before cash arrives) or customers in financial difficulty. It's a red flag for reported revenue quality.
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What is the Capital Deployment signal (CWIP%)?
Capital Work-in-Progress as % of total fixed assets, averaged over 5 years. Under 15% = Low (green). 15–29% = Moderate (yellow). ≥30% = High (red). Persistently high CWIP means a large share of capital is stuck in incomplete projects that are not yet generating revenue.
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How is the A–D grade computed?
Green = 2 points, Yellow = 1 point, Red = 0 points per signal. Max score is 12 (6 signals × 2). A = ≥80% (≥10 pts), B = 60–79% (7–9 pts), C = 40–59% (5–6 pts), D = below 40% (≤4 pts).
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What do "Red Flags" listed under the grade mean?
Any signal that scored red (0 points) is listed as a Red Flag below the grade circle. These are the highest-priority issues — investigate them before investing. A company can have a B grade overall but still carry a specific red flag worth understanding.
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1. What the Forensics Sub-Tab Does

Forensic Analysis tab for RELIANCE showing C grade (Some Concerns), signal breakdown table with 6 signals, 5-year trend sparklines, latest values, and status chips
Forensics for RELIANCE — Grade C "Some Concerns". 6 signals shown with 5-year trend sparklines, latest values, and green/yellow/red status chips. Red flag: Debt Trajectory (Increasing).

The Forensics sub-tab is a quantitative early-warning system. It applies 6 objective signals to 5 years of financial data and surfaces concerns that might not be visible from a single year's P&L. It does not replace deep-dive research — but it tells you where to look first.

The signals are deliberately simple to compute, using only verified data already in the platform (Cash Flow, P&L, Balance Sheet, Ratios). This makes them consistent across all companies and reproducible over time.

What each column means in the signal table

Column What it shows
Signal Signal name and the underlying metric being measured (e.g. "CFO / PAT (5yr avg)")
5-Yr Trend Sparkline of annual values oldest → newest. Hover for year labels.
Latest The most recent annual value for the metric
Status Green / Yellow / Red chip with a label (e.g. Strong, Moderate, Increasing)
What It Means One-line explanation of what the signal is testing and why it matters

2. The Overall Grade (A / B / C / D)

Above the signal table, a circular grade badge summarises the 6 signals into a single A–D rating. The scoring is: Green = 2 pts, Yellow = 1 pt, Red = 0 pts per signal. Maximum possible score is 12.

A
Strong Fundamentals Score ≥ 80% (≥ 10 / 12). At least 4 greens, no reds.
B
Mostly Clean Score 60–79% (7–9 / 12). Minor concerns only.
C
Some Concerns Score 40–59% (5–6 / 12). At least one red flag.
D
Multiple Red Flags Score < 40% (≤ 4 / 12). Warrants deeper investigation.

The Red Flags line below the grade badge lists the names of any signals that scored red (0 pts). These are the highest-priority items to investigate — a company can have a B overall but one specific red flag that matters a great deal for a particular sector or thesis.

The grade is a starting point, not a verdict. A company with a D grade is not necessarily uninvestable — capital-intensive businesses (infrastructure, utilities, telecom) routinely carry high CWIP and high debt as part of their operating model. Read the grade in the context of the sector. The signals give you the right questions; the sector gives you the right interpretation.

3. Signal 1 — Earnings Quality (CFO / PAT)

Earnings Quality
Metric: Cash from Operating Activity ÷ Net Profit — 5-year average
✓ Strong: ≥ 0.75x ⚠ Moderate: 0.40 – 0.74x ✗ Weak: < 0.40x

This is the single most important forensic signal. A company reports profit on an accrual basis — revenue is recognised when earned, not when cash arrives. A company could show ₹100 Cr net profit while only collecting ₹30 Cr in actual cash. The CFO/PAT ratio checks whether the reported profit is supported by real cash generation.

Watch for sustained Weak readings. A single year below 0.40x can happen during a growth phase or a lumpy capex year. But if the 5-year average is Weak, reported profits have chronically outpaced cash generation — a serious structural concern, not a one-time event.
Banks and NBFCs are excluded from this signal in practice because their "Cash from Operations" is naturally different from industrial companies — their core business IS lending and collecting cash. For financial companies, focus more on the Debt Trajectory and Non-Core Earnings signals.

4. Signal 2 — Non-Core Earnings %

Non-Core Earnings
Metric: Other Income ÷ Net Profit × 100 — 5-year average
✓ Low: < 15% ⚠ Moderate: 15 – 34% ✗ High: ≥ 35%

"Other Income" on the P&L includes interest received on cash deposits, dividends from subsidiaries, foreign exchange gains, and profits from asset sales. These are legitimate income sources — but they are non-recurring and non-operational. A business that relies heavily on other income to make its profit numbers is not as strong as one that generates profit purely from selling its products or services.

Conglomerates and holding companies naturally score higher here. A holding company that owns stakes in subsidiaries receives dividends — classified as Other Income — which legitimately makes up a large fraction of its reported profit. This is not a red flag for a holding structure; it's how they work. Context matters.

5. Signal 3 — Receivables Quality (Debtor Days Trend)

Receivables Quality
Metric: Debtor Days trend over 5 years (direction, not absolute value)
✓ Improving: Debtor days falling ⚠ Stable: Debtor days flat (±15%) ✗ Rising: Debtor days increasing

Debtor Days (also called Days Sales Outstanding) measures how many days on average it takes for the company to collect cash after a sale. A company booking revenue on credit but collecting slowly can show strong top-line growth while actually accumulating a receivables problem.

The absolute debtor days value matters less than the trend. A B2B software company might naturally have 90-day debtor days (enterprise billing cycles). What matters is whether that number is growing. A retailer with 10-day debtor days trending to 25 days is more concerning than an enterprise company consistently at 75 days.

6. Signal 4 — Debt Trajectory

Debt Trajectory
Metric: Total Borrowings trend over 5 years (direction)
✓ Deleveraging: Borrowings falling ⚠ Stable: Borrowings flat (±15%) ✗ Increasing: Borrowings rising

Debt is not inherently bad — a company borrowing to build capacity at high ROCE is creating value. But a company where borrowings are consistently rising without matching growth in profitability is building financial risk. This signal tracks the direction of total borrowings (short-term + long-term) over 5 years.

Rising debt without rising ROCE is the danger pattern. If a company's debt increases 3x over 5 years but its ROCE stays flat or falls, the additional borrowing is not generating proportional returns. This is the pattern that precedes over-leveraged distress. The Debt Trajectory signal flags this trend early — the ROCE check is your next step.

7. Signal 5 — Capital Deployment (CWIP %)

Capital Deployment
Metric: CWIP ÷ (CWIP + Fixed Assets) — 5-year average
✓ Low: < 15% average ⚠ Moderate: 15 – 29% average ✗ High: ≥ 30% average

Capital Work-in-Progress (CWIP) is the balance sheet value of fixed assets under construction — projects that are not yet complete and therefore not yet generating revenue. A single large CWIP year is normal during a capacity expansion. Persistently high CWIP across five years suggests capital is stuck in long-duration projects that have not been converted to productive assets.

Infrastructure, power, and telecom companies will routinely score red or yellow here. These sectors require years of construction before assets can be commercialised — a 5–10 year project will show high CWIP throughout the build phase. High CWIP in these sectors is a structural characteristic, not a red flag in isolation. Cross-reference with management's project completion timelines and whether CWIP has been rising as a % over multiple years.

8. Signal 6 — Profit Trend

Profit Trend
Metric: Net Profit (PAT) trend over 5 years (direction)
✓ Growing: PAT trended up (>+15% over 5yr) ⚠ Flat: PAT within ±15% over 5yr ✗ Declining: PAT trended down (>−15% over 5yr)

The simplest of the six signals — is the company more profitable now than it was five years ago? This is a directional check, not a CAGR calculation. The threshold is a 15% move over the full 5-year period (not per year), so this signal is designed to catch only genuine multi-year improvement or deterioration, not short-term volatility.

Combine Profit Trend with Earnings Quality (CFO/PAT). A Growing profit trend with a Strong Earnings Quality (≥0.75x CFO/PAT) is the best combination — the company is generating more real cash every year. A Growing profit trend with a Weak Earnings Quality is a warning — profits look better on paper, but the cash isn't arriving.

9. How to Read Forensics in Practice

The two-signal pairs that matter most

PairBoth Green → conclusionOne Red → investigate
Earnings Quality + Profit Trend Company is growing real cash profits — the strongest combination Growing profits without cash (red EQ): accounting quality issue. Strong EQ with declining profit: business shrinking even on a cash basis.
Debt Trajectory + CWIP % Deleveraging with low CWIP: capital is deployed, productive, and being paid down Rising debt + High CWIP: capital is being raised and deployed but not yet generating returns — check project timelines and expected ROCE.
Receivables + Non-Core Earnings Stable/improving receivables + low other income: revenue is clean and collected promptly Rising receivables + high other income: top-line may be inflated, and headline profit is partly from treasury — the operational picture is weaker than it appears.

Sector context for interpreting grades

SectorSignals that will naturally skew yellow/redWhat to focus on instead
Banks & NBFCs Earnings Quality (CFO/PAT structure is different) Debt Trajectory, Non-Core Earnings, Profit Trend
Infrastructure / Power / Telecom CWIP % (multi-year build cycles), Debt Trajectory (project financing) Earnings Quality, Receivables Quality, Profit Trend direction
Holding companies / Conglomerates Non-Core Earnings (dividends from subsidiaries) Consolidated P&L trend, Debt Trajectory at the consolidated level
FMCG / Consumer / IT All 6 signals are directly applicable — no structural exceptions Run all 6 signals at face value; expect mostly green for quality names
Use Forensics before reading the AI Advisor templates. The Forensic Governance template in AI Advisor (available to premium users) asks Claude or ChatGPT to deep-dive on promoter forensics, related-party transactions, and CFO/PAT audit. Knowing which signals are red before running the template helps you ask better follow-up questions. Let Forensics tell you what to investigate; let AI Advisor go deeper on why.

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