Choose the version that matches your company type. Z-Double-Prime is recommended for most Indian companies — it works for both manufacturing and non-manufacturing, listed and unlisted.
Balance Sheet
Total of all assets per Schedule III balance sheet.
Total liabilities — current + non-current — excluding equity.
Current Assets − Current Liabilities. May be negative.
Surplus / P&L balance from Reserves & Surplus. May be negative.
Earnings Before Interest & Tax. May be negative for distressed firms.
Market Cap = Share Price × Shares Outstanding.Equity Capital + Reserves & Surplus.Equity Capital + Reserves & Surplus.
Net revenue from operations. Not used in Z-Double-Prime.
All inputs are annual. Use audited financials for best accuracy.
Altman Z-Score
0.00
Zone Position
Distress
Grey
Safe
Component Breakdown
Var
Component
Ratio
Weight
Contribution
Calculation Basis
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The Altman Z-Score, developed by Professor Edward Altman at NYU Stern in 1968, is the most widely cited bankruptcy prediction model in financial analysis. It applies multiple discriminant analysis (MDA) to combine five weighted financial ratios into a single score that historically predicted corporate bankruptcy with ~80-90% accuracy two years before failure.
The Three Z-Score Versions
Original Z (Public Manufacturing — 1968)
Z = 1.2(X1) + 1.4(X2) + 3.3(X3) + 0.6(X4) + 1.0(X5)
where X4 = Market Value of Equity ÷ Total Liabilities
Zones: >2.99 Safe | 1.81-2.99 Grey | <1.81 Distress
Z-Prime (Private Manufacturing)
Z' = 0.717(X1) + 0.847(X2) + 3.107(X3) + 0.420(X4) + 0.998(X5)
where X4 = Book Value of Equity ÷ Total Liabilities
Zones: >2.9 Safe | 1.23-2.9 Grey | <1.23 Distress
Z-Double-Prime (Non-Manufacturing / Emerging Markets)
Z″ = 6.56(X1) + 3.26(X2) + 6.72(X3) + 1.05(X4)
where X4 = Book Value of Equity ÷ Total Liabilities
X5 (Sales/Total Assets) is removed
Zones: >2.6 Safe | 1.1-2.6 Grey | <1.1 Distress
What Each X Variable Captures
X1 = Working Capital ÷ Total Assets — short-term liquidity and operational health
X2 = Retained Earnings ÷ Total Assets — accumulated profitability and company maturity (young companies score lower)
X3 = EBIT ÷ Total Assets — operating productivity, the strongest standalone predictor of bankruptcy
X4 = Equity ÷ Total Liabilities — solvency cushion, asset value vs creditor claims
X5 = Sales ÷ Total Assets — asset turnover and competitive position (manufacturing only)
Why Three Versions?
The original 1968 model was calibrated on US public manufacturing companies and required market capitalisation data. Subsequent research showed:
Private companies have no market cap → Z-Prime substitutes book value with adjusted weights
Non-manufacturing companies (services, IT, retail) have radically different asset turnover (X5) → Z-Double-Prime drops X5 entirely
Emerging market companies follow different accounting and capital structure norms → Z-Double-Prime uses thresholds calibrated for these markets
For Indian companies, the Z-Double-Prime is generally the most appropriate version regardless of industry, given India's classification as an emerging market and the diverse industry mix.
Zone Thresholds & Interpretation
Version
Distress Zone
Grey Zone
Safe Zone
Original Z
Below 1.81
1.81 – 2.99
Above 2.99
Z-Prime
Below 1.23
1.23 – 2.9
Above 2.9
Z-Double-Prime
Below 1.1
1.1 – 2.6
Above 2.6
What Each Zone Means
Safe Zone — historically very low bankruptcy rates. Doesn't guarantee survival but indicates fundamental financial strength. Quality investors prefer companies consistently in Safe Zone over multiple years
Grey Zone — statistically ambiguous. Bankruptcy rates higher than Safe Zone but not alarming. Trend matters — moving from Safe to Grey is a warning; moving from Distress to Grey is recovery
Distress Zone — historically ~85% bankruptcy probability within 2 years. Triggers detailed audit going concern review under SA 570, special mention account (SMA) classification by lenders, and credit rating downgrades
Audit going concern alert: Standard on Auditing 570 requires auditors to evaluate whether the entity will continue as a going concern for at least 12 months. A Z-Score in the Distress Zone is a quantitative red flag that triggers detailed audit procedures — review of management's going concern assessment, evaluation of mitigating factors, and possible Material Uncertainty Related to Going Concern paragraph in the audit report. CARO 2020 Clause 3(xix) requires reporting on material uncertainties affecting the company's ability to meet liabilities. Reference at ICAI and ICAI Knowledge Bank.
Indian Applications: IBC, RBI & Audit
IBC 2016 Distress Filtering
The Insolvency and Bankruptcy Code 2016 enables creditors to file for corporate insolvency under Section 7 (financial creditors), Section 9 (operational creditors), or Section 10 (corporate applicant). While IBC triggers are based on actual default — not predicted bankruptcy — Z-Score serves as an early warning indicator. Companies in the Distress Zone are statistically much more likely to default within 12-24 months. Banks and operational creditors increasingly use Z-Score to identify portfolio risk before payment delays manifest. Reference Companies Act framework at India Code.
RBI Stressed Asset Classification
The RBI Prudential Framework requires banks to classify accounts under Special Mention Account (SMA) categories — SMA-0 (1-30 days overdue), SMA-1 (31-60 days), SMA-2 (61-90 days). Beyond 90 days, the account becomes a Non-Performing Asset (NPA). Banks supplement SMA classification with quantitative early warning signals including Z-Score and Altman EM-Score. Companies entering Distress Zone often see credit limits reduced or interest rates raised before any payment delay manifests.
Audit Going Concern (SA 570)
Standard on Auditing 570 (Going Concern), issued by ICAI and converged with ISA 570, requires auditors to evaluate whether the entity will continue as a going concern for at least 12 months from balance sheet date. Quantitative tools used in this evaluation include Z-Score, debt service coverage analysis, cash flow projections, and current ratio trends. A Distress Zone Z-Score alongside other indicators (negative working capital, recurring losses, debt service difficulties) typically triggers a Material Uncertainty paragraph in the audit report. NFRA inspections of listed company audits routinely examine going concern documentation.
SEBI Listed Company Disclosure
Although SEBI Listing Regulations do not mandate Z-Score disclosure, listed companies typically include comparable distress indicators in MD&A — debt-equity ratio trends, interest coverage ratios, and going concern statements. The Schedule III amendments effective FY 2021-22 require disclosure of nine financial ratios with 25%+ variance explanation, indirectly making Z-Score components publicly visible. MCA reference at India Code.
Need Going Concern Assessment or Distress Diagnosis?
Patron Accounting LLP supports CFOs, audit committees and credit teams with going concern evaluation under SA 570, distress diagnostics, restructuring scenario modelling, lender covenant compliance reviews, and CARO 2020 reporting — for Pune, Mumbai, Delhi, Gurugram and pan-India clients.
The Altman Z-Score is a multivariate bankruptcy prediction model developed by Professor Edward Altman in 1968. It combines five weighted financial ratios into a single score that predicts the probability of corporate bankruptcy within two years. The original model achieved approximately 80-90% accuracy on historical US public manufacturing data. Three versions exist for different company types: original Z-Score, Z-Prime for private companies, and Z-Double-Prime for non-manufacturing and emerging market companies including Indian listed and unlisted firms.
Three versions exist: Original Z-Score (1968) for public manufacturing companies — uses 5 ratios including Market Value of Equity. Z-Prime Score for private manufacturing companies — same 5 ratios but Book Value of Equity instead of market value. Z-Double-Prime Score for non-manufacturing companies and emerging markets — uses 4 ratios (drops Sales/Total Assets) to remove industry asset-intensity bias. The Z-Double-Prime is most commonly used for Indian listed and unlisted services, IT, retail and infrastructure companies.
X1 = Working Capital ÷ Total Assets (liquidity). X2 = Retained Earnings ÷ Total Assets (cumulative profitability and age). X3 = EBIT ÷ Total Assets (operating productivity). X4 = Market or Book Value of Equity ÷ Total Liabilities (solvency cushion). X5 = Sales ÷ Total Assets (asset turnover, manufacturing only). Each captures a different distress signal — liquidity strain, accumulated losses, weak earnings power, undercapitalisation, or asset bloat. The weighted sum identifies companies likely to fail.
Original Z-Score: Z > 2.99 Safe Zone, 1.81-2.99 Grey Zone, Z < 1.81 Distress Zone. Z-Prime: Z > 2.9 Safe, 1.23-2.9 Grey, Z < 1.23 Distress. Z-Double-Prime: Z > 2.6 Safe, 1.1-2.6 Grey, Z < 1.1 Distress. Companies in Distress Zone have historically shown ~85% bankruptcy probability within two years; Grey Zone is statistically ambiguous and warrants closer investigation; Safe Zone has very low historical bankruptcy rates but does not guarantee survival.
For most Indian companies, the Z-Double-Prime is preferred as it was specifically designed for emerging markets and non-manufacturing businesses. Use Original Z-Score only for listed Indian manufacturing companies with reliable market capitalisation data. Use Z-Prime for unlisted manufacturing companies. Use Z-Double-Prime for IT, services, retail, real estate, infrastructure, banks, NBFCs and any company without clear manufacturing classification. Z-Double-Prime is also more robust to differences between Indian and US accounting practices.
The Insolvency and Bankruptcy Code 2016 enables creditors to file for corporate insolvency under Section 7 (financial creditors), Section 9 (operational creditors), or Section 10 (corporate applicant). While IBC triggers are based on actual default (not predicted), Z-Score serves as an early warning indicator — Distress Zone companies are statistically much more likely to default within 12-24 months. Banks use Z-Score alongside SMA (Special Mention Account) classification under RBI prudential norms for proactive stressed asset identification.
Standard Z-Score works poorly for service and IT companies because asset turnover (X5 = Sales/Total Assets) varies dramatically across industries, distorting the score. The Z-Double-Prime version was specifically created to address this — it removes X5 entirely and reweights the remaining four ratios. For IT and service companies, only use Z-Double-Prime. The Z-Double-Prime threshold zones (Safe greater than 2.6, Distress less than 1.1) are calibrated for non-manufacturing and emerging market businesses.
Z-Score has several limitations: it relies on accounting numbers vulnerable to manipulation, uses historical data not forward-looking projections, was calibrated on US data from the 1960s-1990s with possible structural shifts since, treats all industries within a category uniformly, ignores qualitative factors (management, governance, regulatory environment), and does not capture cash flow timing. Use Z-Score as one screening tool among many — alongside cash flow analysis, debt service coverage, qualitative business assessment and IBC default tracking.
RBI's Prudential Framework for Resolution of Stressed Assets requires banks to identify incipient stress through Special Mention Account (SMA) classification — SMA-0 (1-30 days overdue), SMA-1 (31-60 days), SMA-2 (61-90 days). Beyond 90 days the account becomes a Non-Performing Asset (NPA). While SMA is based on actual payment delays, banks use complementary tools including Z-Score, Altman EM-Score, and CIBIL credit scores to identify likely stress before payment delays manifest. Early warning enables proactive restructuring or risk-based pricing.
No — standard Z-Score does not apply to banks and NBFCs because their balance sheets are dominated by financial assets and deposits/borrowings, distorting all five ratios. Banks should use sector-specific frameworks: Capital Adequacy Ratio (CRAR), Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR) under RBI Basel III, Net Interest Margin (NIM), and Gross/Net NPA ratios. The CAMELS framework (Capital, Asset quality, Management, Earnings, Liquidity, Sensitivity) is the RBI standard for banking sector stress assessment.
Working Capital for Z-Score = Current Assets − Current Liabilities, computed from Schedule III balance sheet line items. Current Assets include Cash, Bank Balances, Current Investments, Trade Receivables, Inventories, and Other Current Assets. Current Liabilities include Trade Payables, Short-term Borrowings, Other Current Liabilities, Provisions (current), and Current Tax Liabilities. Working Capital may be negative for businesses with strong supplier credit cycles (FMCG, retail) — Z-Score correctly flags this as a potential liquidity concern even when the business is healthy.
Retained Earnings for Z-Score = accumulated net profits of the company that have not been distributed as dividends. From Schedule III balance sheet, this is found under Reserves and Surplus, specifically the Surplus / Profit and Loss account balance. Excludes capital reserves, securities premium, debenture redemption reserve and other capital nature reserves. Companies with substantial accumulated losses (negative Retained Earnings) score very low on X2, correctly reflecting the long-term unprofitability and capital depletion that frequently precede bankruptcy.
Standard on Auditing 570 (Going Concern) requires auditors to assess whether the entity will continue as a going concern for at least 12 months. Z-Score in the Distress Zone is a quantitative red flag that triggers detailed audit procedures under SA 570 Para 16 — review of management's going concern assessment, evaluation of mitigating factors, and possible Material Uncertainty paragraph in the audit report. CARO 2020 Clause 3(xix) requires reporting on material uncertainties affecting the company's ability to meet liabilities.
Original Altman research showed Z-Score predicting bankruptcy with ~72% accuracy two years before failure and ~95% accuracy one year before failure. Subsequent studies show degraded accuracy in modern markets — typically 60-75% one year out. Accuracy is highest in the Distress and Safe zones; the Grey Zone is ambiguous by design. Combine Z-Score with qualitative analysis, cash flow projections, and multi-period trend. Do not rely on a single reading for major decisions.