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The Altman Z-Score explained

The Altman Z-Score is a measure of financial distress risk — roughly, how far a company's balance sheet and earnings sit from the pattern seen in companies that went bankrupt.

Edward Altman, a finance professor at New York University, developed it in 1968 by comparing the accounts of manufacturers that failed with similar ones that survived. Five ratios, combined with particular weights, separated the two groups surprisingly well. The formula is still in use, and its limits are as well documented as its strengths.

ShareSift uses the original 1968 version, designed for publicly listed companies.

The formula

The Z-Score combines five ratios, each measured against total assets:

RatioWhat it measuresWeight
A Working capital ÷ total assetsShort-term liquidity1.2
B Retained earnings ÷ total assetsProfitability accumulated over the company's life1.4
C Operating income ÷ total assetsHow productively assets generate profit3.3
D Market value of equity ÷ total liabilitiesHow far the value could fall before liabilities exceed it0.6
E Revenue ÷ total assetsHow efficiently assets generate sales1.0

Z = 1.2A + 1.4B + 3.3C + 0.6D + 1.0E

Two notes on how ShareSift calculates it:

The accounting figures come from the latest annual report: SEC filings for US companies, Yahoo Finance's annual statements elsewhere.

The three zones

Z-ScoreZoneReading
Above 2.99SafeProfile typical of companies that did not fail
1.81 to 2.99GreyNeither clearly safe nor clearly at risk
Below 1.81DistressProfile resembling companies that went on to fail

These boundaries are from Altman's original paper. A distress reading is not a prediction that a company will fail — it is a signal to look closely at the balance sheet.

When the score is missing

If any of the five inputs is not reported, ShareSift shows no Z-Score rather than an estimate. A number built on four of five ratios is not an Altman Z-Score — it only looks like one — and showing it would invite comparison with thresholds it was never calibrated against.

The most common reason is that the company is a bank or other financial institution. Banks do not separate current assets and liabilities the way an industrial company does, so working capital — ratio A — cannot be calculated.

Worked examples

Live figures from ShareSift at the time of writing.

Apple (AAPL): 11.42 — safe

Far above the 2.99 threshold. The biggest contributor is the D ratio: Apple's market value is many times its total liabilities, so the share price would have to fall a very long way before equity was exhausted. Strong operating income relative to assets adds to it.

A score this high is typical of very large, highly valued, profitable companies. It says distress is remote. It says nothing about whether the shares are good value — Apple scores only 30 out of 100 on the value score.

BHP (BHP.AX): 3.84 — safe

Comfortably safe, though much closer to the boundary than Apple. A miner carries a large base of mines, plant and equipment, which keeps ratios measured against total assets lower than a technology company's. That is a feature of the industry, not a weakness of BHP.

Commonwealth Bank (CBA.AX): no score

CBA shows no Z-Score, because working capital cannot be calculated for a bank. That is the correct outcome: the Z-Score was never designed for banks, and any number shown would mislead.

The important limits

How to use it

Treat the Z-Score as a screen for balance-sheet risk, not a rating. A safe reading on an industrial company is reassuring. A distress reading is a prompt to read the balance sheet and understand why — and very often the answer is simply the industry. Read it alongside the F-Score, which shows whether things are improving, and the value score, which shows whether the shares are cheap.


This information is general in nature and does not take into account your objectives, financial situation or needs. ShareSift is not a financial adviser and does not hold an Australian Financial Services Licence. Consider whether any information is appropriate for you and seek independent advice before making an investment decision.