Price Per Machine and Price Per Square Foot: Useful, But Not Valuation
Price per machine is not a laundromat valuation method, and the closed-sale transaction data does not support it as one. Two stores with identical machine counts can earn very different amounts, and buyers finance earnings. Per-machine figures are useful for testing physical intensity and replacement exposure, nothing more.
Key takeaways
- Per-machine pricing is not supported as a valuation method by the closed-sale data.
- Machine count does not determine earnings. Rent, utilities, labor, turns, and pricing do.
- It survives as a shorthand and as a way to justify prices that earnings do not support.
- Revenue per square foot is genuinely useful as a reasonableness check: $120 median (Source: CLA 2024 Survey).
- Value on normalized SDE times a multiple, less near-term capex, cross-checked four ways.
Why Does It Fail?
Consider two stores, each with 62 machines — the CLA's surveyed median machine count.
| Store A | Store B | |
|---|---|---|
| Machines | 62 | 62 |
| Revenue | $180,000 | $400,000 |
| Rent as % of revenue | 26% | 15% |
| Utilities as % of revenue | 27% | 19% |
| Normalized SDE | $31,000 | $148,000 |
| Value at 3.5x | $108,500 | $518,000 |
| Implied price per machine | $1,750 | $8,355 |
Illustrative. Identical machine counts, a nearly fivefold difference in value, and a per-machine figure that varies by the same multiple. A number that ranges that widely across ordinary stores is not measuring anything useful about value.
The reason is structural: a laundromat's earnings depend on how hard the machines work and what it costs to run them, not on how many there are. Turns per day, vend pricing, occupancy cost, and utility efficiency all sit between machine count and profit.
Where the Rule Came From
Three reasons it persists:
It predates the data. Before published closed-sale benchmarks existed, operators needed some shorthand, and machine count was the most visible feature of a store.
It is easy. Counting machines takes ten minutes. Normalizing earnings from a tax return takes an afternoon and some documents.
It is convenient for sellers whose earnings do not support their price. A per-machine figure can be quoted without reference to profitability, which is precisely why a buyer should treat it as a signal rather than as an argument.
That last point is worth stating plainly: when a seller defends an asking price per machine rather than per dollar of earnings, they are usually telling you the earnings do not get there.
What These Figures Are Actually Good For
Both metrics have legitimate uses. Neither is valuation.
Revenue per machine tests physical intensity. A store with 70 machines producing $220,000 is under-utilized — either over-machined for its trade area, poorly located, or badly operated. A store with 34 machines producing $340,000 is working hard and may be capacity-constrained, which is an opportunity or a warning depending on whether customers are waiting.
Price per machine against replacement cost tests what premium you are paying above the hardware. If a store's price implies $9,000 per machine and comparable new machines run $4,500-$11,000 installed depending on capacity, you are paying roughly hardware value — which means you are getting the goodwill, the customer base, and the lease for very little, or the machines are old and the price is high. Either way it prompts a useful question.
Revenue per square foot is the most genuinely useful of the three. The CLA's 2024 survey reported a $120 median and $125 mean for 2023, against a 2,740 square-foot median store. Because store size varies enormously, revenue alone tells you little — and this ratio surfaces immediately when a revenue claim does not fit the building.
The Method That Does Work
- Normalize earnings to SDE from the filed tax return, with a source document behind every add-back.
- Select a multiple from the closed-sale distribution — median 3.50x, middle half 2.72x-4.50x across 855 reported sales for 2021-2025 — placed on lease term, evidence quality, equipment condition, utility share, owner dependence, service mix, and competition.
- Subtract the present cost of the near-term equipment replacement program at installed cost.
- Cross-check against the revenue multiple (median 1.21x, middle half 0.93x-1.64x), revenue per square foot, replacement cost plus lease-up risk, and the store's physical revenue ceiling.
See laundromat valuation and the worked example.
Do Not Add Equipment Value to a Multiple
A related error that travels with per-machine thinking.
"The business is worth 3.5x SDE and the equipment appraises at $180,000, so the price is the sum" counts the same asset twice. The earnings the multiple prices are produced by that equipment.
Equipment enters valuation in three legitimate places, none of which is an addition to an earnings multiple: as remaining useful life and replacement cost, which reduce value; in purchase price allocation, which reallocates an agreed total; and as the primary basis when a store has no earnings at all. See equipment value in a sale.
When Machine Count Does Matter
Not for value, but for several real questions:
- Capacity against demand. Whether customers wait at peak, and whether adding or removing machines would help.
- Replacement exposure. The size of the eventual retool, which the CLA notes can exceed $200,000.
- Payment system cost. Hardware is priced per machine, so conversion cost scales with count.
- Space efficiency. Machines per square foot against revenue per square foot.
- The physical revenue ceiling. Machines × capacity × vend price × turns × 365, which bounds any revenue claim.
That last use is the most valuable, and it is the only one where machine count directly touches a valuation — as a constraint on what the earnings figure can possibly be.
Why Are Rules of Thumb So Persistent?
Because they solve a real problem badly, and the problem is genuine enough that people keep reaching for them.
The problem is that valuing a business properly requires documents you may not have yet. Early in a search, a buyer looking at a listing has a machine count, an asking price, some photographs and very little else. A rule of thumb converts that scarcity into a number, and a number feels like progress.
They also survive because they are occasionally right. Any rule calibrated to a market's average will match some stores, and the people it matched remember that it worked. Nobody publishes the cases where it did not.
And they persist because they are socially useful. A rule of thumb is easy to say aloud, easy to remember, and easy to use in a conversation where neither party wants to open a spreadsheet. That makes it a good shorthand and a poor valuation.
The specific failure with price per machine is that it measures capacity rather than production. Two stores with the same machine count can differ by a factor of three in what those machines earn, because earnings depend on turns per day — which depends on the trade area, the competition, the hours, the pricing and the condition of the store. A rule keyed to the denominator of that fraction ignores the numerator entirely.
The honest use is as a sorting device and not a valuation. If a store is priced far outside what its machine count would suggest, that is a question worth asking. The answer is frequently good: an unusually productive store, an unusually long lease, or a recent retool. But the question was worth asking, and asking questions is what a rule of thumb is actually for.
What Should You Use Instead When You Have Almost No Information?
Three checks that are nearly as fast and considerably more informative, and all three work from a listing before you have spoken to anyone.
The revenue multiple. If revenue is disclosed, compare the asking price against it. The median revenue multiple across 855 reported sales was 1.21x (Source: BizBuySell, 2021-2025). This is a weak measure on its own — it says nothing about margin — but it is stronger than machine count, because revenue at least reflects what the store actually does rather than what it could theoretically do.
The implied earnings. Work backwards. At a median 3.50x earnings multiple (Source: BizBuySell, 2021-2025), an asking price implies an earnings figure. Ask yourself whether a store of that size, in that location, plausibly produces it. This is a sanity check, not a valuation, and it catches the badly-priced listings quickly.
The lease question. One question, asked before anything else: how many years remain that the buyer controls, including options? It costs nothing, it is answered in a sentence, and it moves value more than machine count ever will. A store with four controllable years is a fundamentally different asset from the same store with fourteen, and no rule of thumb captures that.
Run all three and you have spent ten minutes. What you have is not a valuation — it is a decision about whether this store is worth requesting documents for, which is the actual decision in front of you at that stage.
Then, once documents arrive, abandon the shortcuts entirely. Normalise the earnings from filed returns, place a multiple using the store's own risk characteristics, deduct the present cost of near-term capital spending, and cross-check the answer more than one way. That process cannot be compressed into a phrase, which is precisely why the phrases persist.
Other Rules of Thumb, Briefly
Per-machine pricing is the most common shorthand in this industry, but it is not the only one, and the others deserve the same treatment.
"A multiple of gross revenue." The closed-sale data does give a revenue multiple — median 1.21x, middle half 0.93x to 1.64x — but as a cross-check, not a method. Identical revenue produces very different earnings after rent, utilities, labor, and repairs, and buyers finance earnings. Use it to notice when an earnings-based value looks wrong, then go back to earnings.
"Twelve to eighteen months of gross revenue." A restatement of the revenue multiple in months, with the same defect and less precision.
"Equipment value plus goodwill." This is the double-count described above. An earnings multiple already prices the assets producing the earnings.
"What comparable stores are asking." Asking prices are what sellers hoped for. Median asking across the dataset was $275,000 against a $250,000 median sale, and 2025's sale-to-ask ratio was 0.91.
"Replacement cost." Genuinely useful as one of several cross-checks — what would it cost to build this store new, plus the cost and risk of a lease-up period with no customers? If a going concern with an established customer base prices above that, the buyer should ask what they are paying for. But it is a sanity check on an earnings-based number, not a substitute for one.
The pattern across all of them: shortcuts that avoid normalizing earnings are shortcuts that avoid the work the answer actually depends on.
Summary
Price per machine is a shorthand, not a method, and the transaction data does not support it. Use revenue per machine to test whether a store is over- or under-machined, price per machine against replacement cost to see what premium you are paying, and revenue per square foot as a reasonableness check. Then value the business on normalized earnings times a multiple, less the capital program — because that is what a buyer's lender will do regardless of what the listing says.
The Next Step
Frequently Asked Questions
Is price per machine a valid way to value a laundromat?
No. The closed-sale transaction data does not support per-machine or per-square-foot pricing as a valuation method. Two stores with identical machine counts can produce very different earnings after rent, utilities, labor, and repairs, and buyers finance earnings rather than machine counts.
So why do people quote it?
Because it is easy to compute and it feels concrete. It also predates the availability of transaction data. It survives mostly as a shorthand between operators and as a way for sellers to justify a price that earnings do not support.
What is it actually useful for?
Testing physical intensity and replacement exposure. Revenue per machine tells you whether a store is over- or under-machined for its demand. Price per machine against replacement cost tells you what premium you are paying above the hardware. Neither of those is a valuation.
What about revenue per square foot?
That one is genuinely useful as a reasonableness check. The CLA's 2024 survey reported a $120 median and $125 mean revenue per square foot for 2023, against a 2,740 square-foot median store. It quickly reveals a revenue claim that does not fit the building.
How should a laundromat be valued instead?
Normalized seller's discretionary earnings times a market multiple, less the present cost of near-term equipment replacement, cross-checked against a revenue multiple and the store's physical revenue ceiling. The median earnings multiple across 855 reported sales was 3.50x.
Sources
- BizBuySell, Laundromat and Coin Laundry Valuation Benchmarks, 2021-2025 closed sales — https://www.bizbuysell.com/learning-center/valuation-benchmarks/laundromats-coin-laundry/
- Coin Laundry Association, 2024 Laundry Industry Survey — https://member.laundryassociation.org/hubfs/IndustrySurvey24.pdf
- Coin Laundry Association, How Much Is Your Laundromat Worth? — https://laundryassociation.org/fullcycle/2026/08/how-much-is-your-laundromat-worth-2/
This page is general information about laundromat transactions, not legal, tax, or investment advice, and not a guarantee of sale price, timing, or financing approval. Verify current rules with your own CPA, attorney, lender, and the relevant state or municipal agency before acting.