The Altman Z-Score was developed in 1968 and has since predicted corporate bankruptcy with approximately 80–90% accuracy in the two years before failure. For stock screeners, it serves as a quantitative quality filter — a way to remove financially distressed companies from a candidate list before applying valuation criteria.
Last updated: July 2026.
What the Altman Z-Score is
Edward Altman was a finance professor at NYU who in 1968 published a model predicting corporate bankruptcy using five financial ratios. The original model was built on US manufacturing companies. Over decades, Altman and others extended it to other sectors and geographies, including a modified version for non-manufacturing companies that applies better to European equities.
The original Z-Score formula:
Z = 1.2(X1) + 1.4(X2) + 3.3(X3) + 0.6(X4) + 1.0(X5)
Where:
- X1 = Working Capital / Total Assets (liquidity)
- X2 = Retained Earnings / Total Assets (leverage and profitability history)
- X3 = EBIT / Total Assets (profitability)
- X4 = Market Value of Equity / Book Value of Total Liabilities (leverage and market valuation)
- X5 = Revenue / Total Assets (asset utilisation)
Interpretation:
- Z > 2.99: Safe zone — low probability of financial distress
- 1.81 < Z < 2.99: Grey zone — some risk, monitor closely
- Z < 1.81: Distress zone — high probability of financial distress within two years
The Z'-Score: Altman's modified model for European companies
The original Z-Score was calibrated on US manufacturing companies. For non-manufacturing businesses (including most European listed companies), Altman developed the Z'-Score:
Z' = 0.717(X1) + 0.847(X2) + 3.107(X3) + 0.420(X4) + 0.998(X5)
Where X4 in this version uses Book Value of equity (rather than market value) divided by total liabilities — reducing the model's sensitivity to stock price fluctuations.
Interpretation for Z':
- Z' > 2.9: Safe zone
- 1.23 < Z' < 2.9: Grey zone
- Z' < 1.23: Distress zone
For European small caps with limited analyst coverage and potentially volatile prices, the Z'-Score is generally more appropriate than the original Z.
Why the Z-Score matters for European stock screeners
Filtering out financial landmines
The most practical use of the Z-Score in a screening context is as a quality gate: exclude companies in the distress zone before applying valuation filters.
A stock trading at P/E 8 and EV/EBITDA 5 looks like a value stock. But if its Z-Score is 0.9, the cheap valuation reflects genuine distress risk — it's not undervalued, it's potentially headed for bankruptcy. Without a financial health filter, value screens can fill up with companies that look cheap because they're broken.
Small cap risk management
European small caps — particularly in Italy, Spain, and Eastern Europe — carry higher financial distress rates than large caps. The analyst coverage that would flag deteriorating balance sheets for large companies doesn't exist for €100M companies. The Z-Score provides a quantitative early warning that doesn't depend on analyst coverage.
Cycle-proofing quality screens
In economic downturns, the companies that survive and emerge with stronger competitive positions are those that entered with financial strength. Screens built with Z-Score guards tend to hold up better in bear markets because they systematically avoid the companies most vulnerable to economic stress.
How to use Z-Score in stock screening
Most screeners don't expose the Z-Score directly as a filter, but you can approximate it with the component metrics:
Component proxy filters
X1 — Working Capital / Total Assets (liquidity): → Screen for: Current Ratio > 1.5, or Working Capital Positive
X2 — Retained Earnings / Total Assets (accumulated profitability): → Screen for: Retained Earnings > 0 (positive, indicating the company has historically been profitable)
X3 — EBIT / Total Assets (return on assets): → Screen for: EBIT margin > 5%, or ROA > 3%
X4 — Equity Value / Liabilities (leverage): → Screen for: Debt/Equity < 1.0, or Total Liabilities / Total Assets < 0.6
X5 — Revenue / Total Assets (asset efficiency): → Screen for: Asset Turnover > 0.5
Running all five proxies simultaneously in ScreenerHero's screener screens out most distress-zone companies effectively, without needing an account.
Direct Z-Score filter (where available)
Some screeners provide Z-Score as a calculated field. Where available:
- Z-Score > 2.5: Strong financial health (within safe zone)
- Z-Score > 2.0: Acceptable health (upper grey zone)
- Z-Score < 1.5: Flag for closer inspection before investing
What Z-Score thresholds mean by sector
The Z-Score was calibrated on industrial companies. Different sectors have different baseline Z-Score expectations:
| Sector | Typical Z-Score range | Notes |
|---|---|---|
| Technology (asset-light) | 3–8+ | High asset turnover and margins produce high scores |
| Consumer discretionary | 2–5 | Varies significantly by business model |
| Industrials/Manufacturing | 1.5–4 | Original calibration — scores are most reliable here |
| Retail | 1.5–3.5 | High payables (which reduce working capital) compress scores |
| Healthcare | 2.5–6 | Asset-light models score well; pharma can be misleading |
| Energy/Materials | 1–3 | Cyclical revenues and high asset bases compress scores |
| Banks/Financials | Not applicable | Banks require entirely different models (use CET1, leverage ratio) |
| Real estate | Not applicable | Asset-heavy structure distorts Z-Score; use LTV and ICR instead |
Important: Never apply Z-Score to financial companies (banks, insurance, diversified financials) or to real estate investment trusts. The model wasn't designed for these sectors and produces meaningless results.
Case study: the Z-Score as an early warning
A practical illustration of how Z-Score would have helped:
Retail company — declining Z-Score:
- Year 1: Z' = 2.3 (grey zone — some risk)
- Year 2: Z' = 1.8 (grey zone — worsening)
- Year 3: Z' = 1.1 (distress zone — serious risk)
- Year 4: Company files for insolvency protection
The Z-Score was signalling deterioration three years before the failure. A screener that filters for Z' > 1.5 would have excluded this company at Year 3, before the distress became obvious in the stock price.
Z-Score limitations to know
Not a standalone sell signal: A low Z-Score means risk, not certainty of failure. Companies in the grey zone often recover. The score is a filter, not a verdict.
Backward-looking: The Z-Score uses historical balance sheet data. A company can deteriorate rapidly in ways that a balance sheet from 6 months ago won't capture.
Seasonal distortions: Companies with seasonal revenue cycles show very different working capital positions depending on when the balance sheet is taken. A retailer's December balance sheet looks much better than its August one.
Doesn't capture off-balance-sheet liabilities: Lease obligations (pre-IFRS 16), pension deficits, guarantees, and contingent liabilities can threaten solvency without appearing prominently in the Z-Score inputs.
Building a Z-Score quality screen
Conservative screen (exclude distress and most of grey zone):
- Z-Score > 2.5, or proxy: Current ratio > 2.0, Debt/Equity < 0.5, ROA > 5%, positive retained earnings
- Purpose: Produces a high-quality shortlist before applying valuation filters
Moderate screen (exclude only distress zone):
- Z-Score > 1.5, or proxy: Current ratio > 1.5, Debt/Equity < 1.0, EBIT positive
- Purpose: Wider universe that excludes obvious distress but includes financially stressed companies that may be turnarounds
Combined with value filters:
- Z-Score > 2.5 AND P/E < 18 AND EV/EBITDA < 10
- Finds: financially healthy companies at value prices — a powerful combination that avoids the "cheap for a reason" trap
Bottom line
The Altman Z-Score is a practical quantitative tool for identifying financial risk before it shows up in headlines. For stock screeners, its primary value is as a quality gate: removing distress-zone companies from value screens that would otherwise capture broken businesses masquerading as cheap stocks.
Apply Z-Score (or its proxy filters) as a first-pass quality screen, then layer valuation and growth criteria on top. The result is a candidate list where financial health is already a given, not a risk factor to investigate.
Frequently asked questions
What is a good Altman Z-Score for a European stock?
A Z-Score above 2.99 is considered the "safe zone" — low probability of financial distress. Scores between 1.81 and 2.99 are the "grey zone" where distress is possible but not imminent. Below 1.81 is the "distress zone" with significantly elevated bankruptcy risk. For the modified Z-Score (for non-manufacturing companies), the thresholds shift slightly: above 2.6 is safe, below 1.1 is distress.
Does the Altman Z-Score work for European companies?
The original model was calibrated on US manufacturing companies, but the modified Z-Score (Z'') was specifically designed for non-manufacturing and international companies, including European equities. Most research confirms it retains predictive power across European markets, though some studies suggest recalibrating the thresholds slightly upward for certain continental European sectors.
Can I screen by Altman Z-Score directly in a stock screener?
Most retail screeners don't expose the Altman Z-Score directly because the calculation requires five separate balance sheet inputs. The practical approach is to use proxy filters: Current Ratio > 1.5 (for X1), Debt/Equity < 0.5 (for X4), ROA > 5% or EBIT/Assets > 0.05 (for X3). Running these proxies together achieves a similar quality gate without requiring the explicit Z-Score calculation.
What sectors have the lowest Altman Z-Scores?
Capital-intensive sectors with high leverage structurally produce lower Z-Scores: utilities, real estate, airlines, and capital goods manufacturers. This doesn't necessarily mean financial distress — it reflects sector-normal capital structures. Always interpret Z-Scores relative to sector peers rather than applying a universal threshold across all industries.