Strategy profile

Altman Z-Score: Balance-Sheet Stress Test – Backtest & Top Stocks 2026

Bankruptcies announce themselves in the balance sheet long before the share price shows it: the Z-score condenses five ratios into a default probability.

Save the strategy and StockScorer checks its rules for you every day. You'll get a heads-up whenever a stock crosses the upper or lower score threshold.

✓ Refreshed daily✓ Rule-based: no black box✓ Fully customisable
Total return in the backtest10 years to Q2 2026
Strategy
+65.1%
MSCI World
+240.1%

Gap to MSCI World: -175.1 percentage points total, -7.9 per year

62137211286361StartQ2 2017Q3 2018Q4 2019Q1 2021Q2 2022Q3 2023Q4 2024Q2 2026StrategyBenchmark (MSCI World)

Index, start = 100

Past performance is not a reliable indicator of future results.

+5.1%Return p.a. (backtest)
-7.9 ppvs. MSCI World p.a.
16,182Stocks analysed
SmallMidLargeCap classes
Classification of all stocks as of the latest data

What the profile looks like today

As of 11/15/2026
5,844High
6,187Medium
4,151Low
Classification in the universe
High 36%Medium 38%Low 26%

Based on all 16,182 stocks with a score. Not rated are stocks that the profile does not classify because of a size limit or an exclusion rule.

Distribution of scores in the market
-3
-2
-1
0
+1
+2
+3
Score distribution as a data table
ScoreNumber of stocksHigh matchMedium matchLow match
-34,151004,151
-20000
-10000
00000
+16,18706,1870
+20000
+35,8445,84400
Countries of the high-match stocks
US 25%CN 15%CA 10%IN 10%JP 10%Other 30%
How rules turn into a score

How the scoring works

Every stock runs through the same disclosed rules. The points add up to a score, traceable down to the individual rule.

01
Rules

Each rule checks a metric against a threshold, here for example “Safe zone (Z-score > 2.99)”.

02
Points & weighting

In this profile, each rule that is met counts +1 to +3 or −3 points.

03
Score & classification

The sum is the score. That gives three classes: high, medium, low match.

Low match
< 1 points
Medium match
1 – 2 points
High match
≥ 3 points

These terms describe only the match with the criteria, not a recommendation to buy or sell.

What the strategy measures a stock against

What is behind this strategy?

01
How far away is bankruptcy?

The Z-score translates five balance-sheet ratios into a 24-month default probability.

02
Safe zone or distress?

Manufacturers: above 2.99 safe, below 1.81 acute danger. Other non-financials: above 2.6 safe, below 1.1 acute danger (Z'' model).

03
Does substance back the growth?

Retained earnings weigh heavily: pure hope stocks without history fall through.

04
Is the metric applicable?

Financials run on balance-sheet leverage by design; they are classified neutrally instead of wrongly punished.

Excerpt from the rule profile

These exact rules run over every stock daily.

4 of 7 rules
Safe zone (Z-score > 2.99)+3 pts
Grey zone (Z-score 1.81–2.99)+1 pts
Acute bankruptcy risk (Z-score < 1.81)−3 pts
Group:AND
+3 pts
Does not apply to: Industrials, Basic Materials, Consumer Cyclical, Consumer Defensive, Energy, Financial Services, Financials, Real Estate
Altman Z'' (non-manufacturing)isat least2.6
All of these conditions must be met
+ 3 more rules in the profile

After signing up for free, you can copy the full profile in the rule editor, adjust its thresholds, and save it as your own starting profile.

See and copy all rules for free
What the backtest shows, and what it does not

How has the profile performed?

Strategy: +65.1%Benchmark (MSCI World): +240.1%
62137211286361StartQ2 2017Q3 2018Q4 2019Q1 2021Q2 2022Q3 2023Q4 2024Q2 2026StrategyBenchmark (MSCI World)

Index, start = 100

The backtest shows a total return of +65.1%. The MSCI World reaches +240.1% over the same period.

+5.1%Return p.a.
+13.0%Benchmark p.a.
-36.6%Largest decline
0.23Sharpe Ratio
Spread by start date

The same strategy with the same settings, started at every possible date. Each dot is a separate run over 5 years.

-10%0%10%Start Q2 2016: 10.0% p.a., MSCI World 13.5% p.a.Start Q3 2016: 1.9% p.a., MSCI World 13.2% p.a.Start Q4 2016: 11.6% p.a., MSCI World 13.8% p.a.Start Q1 2017: 12.7% p.a., MSCI World 11.8% p.a.Start Q2 2017: 3.9% p.a., MSCI World 9.9% p.a.Start Q3 2017: 4.4% p.a., MSCI World 9.4% p.a.Start Q4 2017: 1.8% p.a., MSCI World 8.7% p.a.Start Q1 2018: 8.9% p.a., MSCI World 11.0% p.a.Start Q2 2018: 2.7% p.a., MSCI World 10.6% p.a.Start Q3 2018: 5.6% p.a., MSCI World 9.5% p.a.Start Q4 2018: 8.9% p.a., MSCI World 13.8% p.a.Start Q1 2019: -4.6% p.a., MSCI World 13.2% p.a.Start Q2 2019: -2.7% p.a., MSCI World 13.3% p.a.Start Q3 2019: 7.9% p.a., MSCI World 12.8% p.a.Start Q4 2019: 4.7% p.a., MSCI World 13.0% p.a.Start Q1 2020: 4.0% p.a., MSCI World 16.8% p.a.Start Q2 2020: -3.1% p.a., MSCI World 13.7% p.a.Start Q3 2020: -0.1% p.a., MSCI World 14.6% p.a.Start Q4 2020: -7.3% p.a., MSCI World 13.4% p.a.Start Q1 2021: -10.4% p.a., MSCI World 10.8% p.a.Start Q2 2021: -5.9% p.a., MSCI World 12.5% p.a.Q2 2016Q4 2018Q2 2021
  • Strategy
  • MSCI World
  • Median 3.9%
Median
3.9%
Mean
2.6%
Range
-10.4% to 12.7%
Standard deviation
6.4 percentage points
Ahead of MSCI World
1 of 21 runs

The periods overlap heavily, neighbouring runs share almost all periods. The spread therefore looks smaller than it would for independent periods. Past results say nothing about future ones.

Strategy calculated without fees and taxes, dividends reinvested.

Point-in-time composition since June 30, 2009: each period uses the members at that time. Stocks that left the market early may be missing, which favours the result.

Historical period, quarterly rebalancing. Past performance is not a reliable indicator of future results.

Which stocks fit best today

Stocks with a High Match

Purely mechanical rule application, no curated-list effect: stocks with a high match can fall just like any other stock.

P/E, P/B, ROE and equity ratio are already visible publicly per stock. After signing up for free, you'll see additional metrics such as margin and debt, plus the live score history.
The way of working this profile suits

Who is this strategy for?

For risk-aware investors as a pre-filter before any other strategy: before valuation or growth matter, survival should be secured. Particularly valuable for small caps and optically cheap stocks whose low price may reflect default risk.

Adopt this strategy for free
What people usually ask before starting

Frequently asked questions

Is this based on the Altman Z-score?
Yes, for manufacturing-adjacent sectors the metric follows the original model for listed industrial companies published by Edward Altman in 1968; for all other non-financials, StockScorer uses Altman's own Z'' model from 1995, which he developed himself for exactly these cases. The point allocation (grey zone +1) is a documented StockScorer refinement.
Why are financials not assessed?
Banks and insurers run on high balance-sheet leverage by design: the Z-score formula would classify them all as distressed even though the leverage there is regulated and intended. Neutral treatment is the honest answer.
Is this a recommendation to act?
No. StockScorer provides automated, rule-based assessments for information only. Nothing here replaces individual financial advice or constitutes a solicitation to buy or sell securities.
Can I change the zone boundaries?
Yes. After free registration you can copy the profile and adjust it in the rule editor: zone boundaries, point values and the financials exemption are fully configurable.

Method & Criteria

The Z-score was developed by Edward Altman in 1968 and remains the best-known bankruptcy prediction model: a discriminant analysis condenses five balance-sheet ratios (working capital, retained earnings, operating earnings power, market value versus liabilities and asset turnover) into a single figure for the default risk of the next 24 months. Altman himself explicitly limits this 1968 model to manufacturing companies; for all other non-financials (trade, services, technology) he followed up in 1995 with the Z'' model, which drops the sales term. StockScorer therefore applies whichever model fits the sector: the classic Z-score for manufacturers, Z'' for the rest. Above the respective upper zone the safe zone begins, below the lower zone the distress zone with acute bankruptcy risk. Both models punish young companies without an earnings history hard: exactly what makes them excellent filters against hype stocks without substance. For banks and insurers, neither metric is structurally applicable; they are classified neutrally.

How does the Z-score stress test work?

For manufacturing-adjacent sectors (industrials, basic materials, cyclical and defensive consumer, energy), StockScorer uses the classic Altman Z-score, weighted from five ratios: working capital to total assets (liquidity), retained earnings to total assets (accumulated substance), EBIT to total assets (earnings power), market capitalisation to total liabilities (market buffer) and sales to total assets (asset turnover). A value above 2.99 signals the safe zone (+3), 1.81 to 2.99 the grey zone (+1), below 1.81 the distress zone (−3).

For all other non-financial, non-real-estate sectors (trade, services, technology, health care), Altman's own 1995 Z'' model applies instead since the fidelity round, dropping the sales term, with its own zones: above 2.6 safe (+3), 1.1 to 2.6 grey zone (+1), below 1.1 distress (−3). The thresholds are deliberately identical for all size classes: a high bankruptcy risk is as unacceptable for a large cap as for a small cap (risk metric, universal). Financials, real-estate companies and stocks without a computable Z-score or Z'' park at +1 in the middle zone: not assessed is not the same as risky.

The zones at a glance

Manufacturers (classic Z-score): > 2.99 safe zone (+3), 1.81–2.99 grey zone (+1), < 1.81 distress zone (−3).

Other non-financials (Z'' model, 1995): > 2.6 safe zone (+3), 1.1–2.6 grey zone (+1), < 1.1 distress zone (−3).

Financial/real-estate company or Z-score/Z'' not computable: neutral middle classification (+1).

Strengths, limits and deviations from the original

The strength: the Z-score is purely balance-sheet based and thus immune to story and sentiment; in studies it flagged a large share of bankruptcies one to two years in advance. As a gatekeeper before value strategies it prevents the classic mistake of investing in a "cheap" company whose price simply reflects its default risk.

Fidelity update as of 23 August 2026: Altman himself calibrated the 1968 model only for manufacturing companies; StockScorer now applies it only there and uses Altman's own Z'' model (1995, no sales factor, different zone boundaries of 2.6/1.1) for all other non-financials. Previously the classic Z-score ran sector-independently for all non-financials, which was systematically too conservative for services and technology names with lean balance sheets. One documented refinement remains: the grey zone earns +1 instead of 0 points here so it becomes visible as a middle classification; in the original point system it would be indistinguishable from the lower zone.

Limits: neither model is defined for financials (hence their neutral treatment). The sector assignment between the two models follows a fixed list of manufacturing-adjacent industries; edge cases (e.g. conglomerates) may be assessed more accurately under the other model.

Who is this strategy for?

For anyone wanting to systematically sort out default risks, as a standalone screen or as a risk gate flanking other strategies (the StockScorer Score uses exactly this gate as an exclusion rule).