Metrics That Lie in a Declining Business

Q: Is the Altman Z-score useful for a private manufacturer?

Only the correct version. The 1968 formula requires market value of equity, which a private company does not have. Altman published a 1983 variant for private manufacturers with different coefficients and thresholds.

Stagnation Slaughters. Strategy Saves. Speed Scales.

What does this article cover?

Which metrics lie in a declining business?
Why do they invert?
What should you report weekly?
Do the early warning models help?
Where does rate beat level?
What do you tell the board?
Who should this article send away?
Where does this break down?
People also ask
What I sell, and what I don’t
About the Stagnation Assassin

A declining business produces a specific and dangerous artefact: a dashboard where several numbers improve while the company gets smaller. This is not anybody manipulating anything. It is arithmetic, it is predictable, and it is the reason boards are frequently reassured in the quarter before the one that goes badly. Before recommending what to measure, this article covers what to stop believing, because the metrics that mislead you in decline are the ones that served you perfectly well in growth.

Which metrics lie in a declining business?

Several of the ones your board reads. Gross margin percentage, inventory turns, revenue per employee and capacity utilization all improve as a business shrinks, for reasons that have nothing to do with recovery and everything to do with the shrinking itself.

Work through each one, because the mechanism differs and the tell differs with it.

Gross margin percentage. Decline usually removes your most price-sensitive volume first, because that is the business a competitor takes when they undercut you. What remains is your higher-margin work, so the percentage rises while gross profit in dollars falls. A board seeing margin up and revenue down concludes you are trading quality for quantity deliberately. Frequently nobody decided anything.

Inventory turns. A business short of cash stops replenishing. Stock runs down, the turns ratio improves, and the operations report shows a working capital success. What has actually happened is that you are now unable to serve a large order, which will show up as a lost sale nobody attributes to this.

Revenue per employee. Cut headcount faster than revenue falls and this rises. It is the single most quoted productivity measure and in decline it is a measure of how quickly you are cutting.

Capacity utilization. Close a line or a shift and utilization of what remains goes up. The plant looks busier. You have less capacity and the same demand problem.

Days sales outstanding. If your weakest customers are the ones leaving, your remaining receivables are with better payers and DSO improves. Credit control did nothing.

Win rate. A sales team under pressure stops bidding on hard deals. Win rate climbs while total wins fall.

A board seeing margin up and revenue down concludes you are trading quality for quantity deliberately. Frequently nobody decided anything, and the ratio moved because the market removed your cheapest business first.

Why do they invert?

Because every one of them is a ratio with volume in the denominator or the numerator. Remove volume and the ratio moves favourably without anything improving. In growth these metrics are informative. In decline the arithmetic works against you and nobody re-reads them.

That single sentence is the whole diagnostic and it gives you a test you can run against any existing dashboard in twenty minutes.

Take each line and ask one question: if the business were half its current size with everything else unchanged, would this number get better or worse. If it gets better, the metric is unsafe in decline and should be removed from the weekly pack or restated in absolute terms. Margin percentage fails this. Gross profit in dollars passes it.

The deeper problem is that ratios were designed for comparison across time and across companies, which requires the denominator to be roughly stable. Decline destroys that assumption. You are comparing this quarter to a quarter with a materially different business underneath it, and the ratio quietly encodes the difference as an improvement.

The correction is unglamorous. In a declining business, report quantities. Dollars of gross profit, not margin percentage. Units shipped, not utilization. Headcount and revenue as two separate lines, not one ratio that hides which moved.

What should you report weekly?

Absolute quantities and forward-looking counts, not ratios. Cash, orders received, orders shipped, customers who bought this week, and quotes issued. Five numbers, none of them a percentage, and not one of them can be improved by making the company smaller.

Cash. Weekly, thirteen weeks forward, not a month-end balance. Cash is the one number that cannot be improved by shrinking for long, because shrinking consumes cash before it releases any.

Orders received. The earliest available indicator of demand, and the one that moves first. Revenue tells you what your business looked like when these orders were placed, which in a long-cycle manufacturer may be last quarter.

Orders shipped. Reported alongside orders received rather than instead of it. The gap between the two is your book-to-bill, and in decline a shipped number holding up while intake falls is the most reliable early warning you have.

Customers who bought. A count, not a value. Revenue can hold while your customer base halves, because the remaining customers grew or you took a large one-off. Counting customers catches concentration forming before it shows up anywhere else.

Quotes issued. The furthest forward of the five and the one most within your control. If quoting activity falls, everything behind it falls on a known lag, and you have the length of your sales cycle to react.

Five lines, one page, every Monday. The discipline that matters is that none of them is a ratio, so none of them can flatter a shrinking business.

Do the early warning models help?

Yes, with one caveat that invalidates most attempts. Altman’s Z-score was built on manufacturers and predicts distress two years out, and a private company applying the public formula gets a meaningless number because it has no market capitalization to put in it.

Edward Altman published the model in the Journal of Finance in 1968, using discriminant analysis on a sample of 66 manufacturing firms to combine five ratios into one score. Above 2.99 is the safe zone, below 1.81 the distress zone, and the range between is what the literature calls the grey zone or, more honestly, the zone of ignorance.

The version problem is the practical point. The 1968 formula requires market value of equity, which a private manufacturer does not have. Altman published adapted models in 1983, including one for private manufacturers using book value of equity with different coefficients and different thresholds. If you are running a private business and somebody hands you a Z-score, ask which version, because substituting book value into the public formula produces a number that means nothing.

On accuracy, take the range rather than the headline. Reported figures run from 72 per cent to 95 per cent depending on the study and the horizon, with the original one-year classification at the high end and follow-up work sustaining something like 80 to 90 per cent. One analysis reported a false positive rate around 15 to 20 per cent, meaning healthy firms get flagged. And research examining the UK market found predictive accuracy declining over time, particularly through the financial crisis.

Which leaves the model where it belongs: a useful confirmation instrument with a two-year horizon, not a management tool. It will not tell you anything on a Monday.

Where does rate beat level?

Everywhere, in decline. A level tells you where you are and a rate tells you where you are going, and in a business that is falling the second question is the only one that matters. This is what my own velocity measures exist to capture.

There are three of them in the book I have coming and I will describe what they do rather than how they are built, with one exception already published here.

Revenue Velocity measures your organic growth against your industry’s, so the comparator sits inside the measure and a rising market cannot flatter you. In decline it answers the question that actually matters to a board: are we losing share or losing with the sector.

Profit Velocity measures the trajectory of margin rather than its level, which separates a business with thin but improving margins from one with comfortable margins eroding. Those look similar on a snapshot and are entirely different situations.

Flow-Through is the third and I will leave its definition to the book.

The general principle matters more than my particular measures, and you can apply it to anything you already track. Take any level you report and report its rate of change alongside it. A margin of 34 per cent tells you little. A margin of 34 per cent that was 38 two quarters ago tells you what you need.

What do you tell the board?

Restate the misleading numbers rather than removing them, and do it before the quarter they turn. A board that has watched margin percentage for two years will read its disappearance as concealment, which is the one interpretation you cannot afford while asking them for patience.

The sequencing matters more than the content here, and it is the part that gets handled badly.

Add the absolute before you drop the ratio. Run gross profit in dollars alongside margin percentage for two reporting cycles. The board will see them diverge on their own, which is a far more powerful explanation than anything you say about it, and by the third cycle removing the percentage is uncontroversial.

Explain the mechanism once, in writing. Not as an apology for past reporting. As a statement that several standard ratios behave differently in decline and that the pack is being changed for that reason, with the halving test written out so anybody can apply it themselves. A board that understands the test will stop asking for the old lines.

Name the number you want to be judged on. This is the uncomfortable one and it buys more credibility than the rest combined. Pick one of the five, say it is the one that matters, and report it every time whether it moved or not. A management team that nominates its own measure and then reports it unflatteringly is doing something a board almost never sees.

The failure to avoid is changing the pack in the quarter the old numbers turn ugly. Do it while margin percentage is still flattering you and it reads as rigour. Do it three months later and it reads as exactly what it would look like.

Who should this article send away?

Anyone who cannot produce weekly numbers at all. The whole recommendation here assumes a weekly cadence, and a business closing its books monthly with a two-week lag is reading six-week-old information, which in a declining company describes a different business from the one you are now running.

That is a genuine disqualification and it is more common in mid-market manufacturing than anybody admits. The fix is not a better dashboard. It is getting five numbers out of the system weekly without waiting for a close, which usually means accepting unreconciled figures and deciding in advance that approximately right on Monday beats exactly right on the twentieth.

A second group: companies whose decline is commercial rather than operational. If the product no longer competes, every metric in this article will accurately describe a well-run business losing, and the work is elsewhere.

Where to go instead, and some of it is better than anything I publish. For the early warning question, Altman’s original paper and his later private-company variants are free, more rigorous than any summary including mine, and the source your lender is probably using. For the weekly cash discipline, a management accountant will build a thirteen-week model properly in a fortnight. And for the underlying statistics, Ohlson’s work raised methodological objections to the discriminant analysis Altman used, which is worth reading if you intend to rely on a score rather than glance at one.

Where does this break down?

Both of my own published metrics invert in decline. Revenue Velocity can read positive while you shrink, if your industry is shrinking faster. Profit per labor minute rises when you cut people faster than profit falls. Neither failure is hypothetical.

Take the first one seriously because it is the more seductive. A business falling eight per cent in a market falling fifteen posts a Revenue Velocity of plus seven, which reads as outperformance and is. It is also a business that will be gone in four years if nothing else changes, and a measure built to strip out market effects will keep reporting a positive number the entire way down. Relative performance is the right question when you are choosing where to invest and the wrong one when you are asking whether you will survive.

The second is the same failure this article describes in revenue per employee, applied to a measure I published. Profit per labor minute is a ratio with people in the denominator. Cut enough of them and it rises.

Three further limits. The inversion list is reasoning from arithmetic rather than a research finding, and while I am confident in the mechanism I have not tested how often each one actually misleads a board. The five weekly numbers are what I would run rather than a validated set, and a business with a different shape would need different ones. And the Z-score literature is deep enough that my summary flattens genuine disagreement about how well it still performs.

The one claim I would keep regardless: in a declining business, any metric that improves when the company gets smaller is a liability on the page, and most dashboards contain several.

A business falling eight per cent in a market falling fifteen posts a Revenue Velocity of plus seven. That reads as outperformance and is. It is also a business that will be gone in four years.

What I sell, and what I don’t

I don’t sell consulting. My employment contract doesn’t allow it, so there is no engagement waiting at the end of this article and no proposal coming. Two things here are commercial: I speak for a fee, and I sell books. Everything else, including the audit, is free, and it stays free because it has to be. If you want the halving test run against your current weekly pack, send me the line items at my contact page.

About the Stagnation Assassin

Todd Hagopian is a Fortune 500 transformation executive who has generated $3B in shareholder value across Berkshire Hathaway, Illinois Tool Works, Whirlpool, and JBT Marel, where he serves as Global VP of Product Strategy and Marketing. Known as The Stagnation Assassin, he is the author of two published books, The Unfair Advantage: Weaponizing the Hypomanic Toolbox and Stagnation Assassin: The Anti-Consultant Manifesto. His blog is published in 15+ languages and read by operators worldwide. Bring him to your stage via his speaking page or connect with him on LinkedIn.

The talk version runs the halving test live against a room’s own weekly pack. Most rooms find two or three lines that would improve if the company shrank, and one of them is usually the headline. Formats and fee are on my speaking page.

Not what you needed? Find Your Solution →