It's not about the machines alone. A buyer prices your lease, your equipment age, your water and gas bill, and how much runs without you. Here's how the numbers work.
Enter two numbers for an instant Laundromats ballpark. No signup — the real number comes from your books.
We answer each one from your books first — so you fix the story before a diligence team writes the number.
How many years are left, can the lease be assigned to me, and how fast does the rent climb? A short or non-assignable lease is the #1 deal-killer — a buyer inherits the location risk and can't underwrite confidently, so the offer gets priced down hard until you can show a long, assignable lease (or owned real estate).
How old is the fleet, and what will I spend replacing washers and dryers past 10-15 years? Old machines are a deferred-capex bill and they waste water and gas, so a buyer prices both the replacement cost and the higher utility load a worn fleet drags along — straight off the offer until the equipment is current and efficient.
Water, sewer, and gas commonly run 20-30% of revenue — are your machines efficient, or am I buying a high utility bill? A buyer reads the utility-to-revenue ratio as a direct read on equipment efficiency, and an inefficient fleet means thinner margins they price into the multiple.
It's a cash business — can you PROVE the revenue? A buyer wants card/app collection data and meter reads, not a coin-box estimate. Coin-heavy stores with unprovable income get discounted, because a buyer can't finance or underwrite revenue they can't audit; card/app systems and documented turns defend the price.
Is the demand durable — a stable renter base — or is foot traffic slipping? Laundromats serve a habitual neighborhood trade, but a buyer probes whether the local renter population and traffic are holding, since a declining base resets revenue regardless of how clean the store or the books are.
Each lever is sized for a mid-single-store stabilized figure; coin laundries commonly generate $15k-$300k annual cash flow, midpoint chosen as representative — about $150K EBITDA. Same number whether we frame it as “what a buyer discounts” or “what you keep by fixing it.”
A long assignable lease (or owned real estate) removes the existential risk — it lets a buyer underwrite confidently and finance the deal (SBA loans favor stores with long assignable leases or owned RE). It's the single biggest swing between a deal that prices at the top of the band and one that can't get bought at all.
adds about 0.2–0.6× to your multiple · usually takes 12–24 months
Newer high-efficiency extractors cut water and sewer use materially, lifting margin by shrinking the 20-30%-of-revenue utility load. A current, efficient fleet also removes the buyer's biggest deferred-capex discount — they're not pricing in a replacement bill on machines past their 10-15-year life.
adds about 0.1–0.3× to your multiple · usually takes 6–18 months
Wash-dry-fold plus commercial and route laundry contracts add a higher-margin service layer — commonly 20-40% additional revenue — and a recurring B2B base (gyms, salons, Airbnbs, small medical) on top of transactional walk-in vend. It's the durable, recurring revenue a buyer pays up for, not anonymous walk-in.
adds about 0.2–0.5× to your multiple · usually takes 6–18 months
Card and app payment systems turn an unprovable cash box into auditable revenue buyers pay up for. Collection data (Cents, CCI, ESD) plus meter reads document the turns, so a buyer can finance and underwrite the income — and the same systems enable true absentee operation that re-rates the store.
adds about 0.1–0.3× to your multiple · usually takes 12–24 months
Typical impact ranges blended from lower-middle-market transaction data, sub-$50M M&A databases, and observed consolidator pricing in the $300K–$3M EBITDA band. Directional, not a guarantee — your memo computes your actual numbers from your books.
The metrics buyers grade laundromats on. The diagnostic fills the “your business” column from your actual QuickBooks data.
| Metric | Laundromats benchmark | Your business | What it means |
|---|---|---|---|
| Recurring / contracted revenue | ~35% of revenue | Your data | Higher is better — the top multiple lever |
| Gross margin | ~72% | Your data | Pricing and job-costing discipline |
| EBITDA margin | ~27% | Your data | What flows to the bottom line |
| Healthy customer-concentration ceiling | top customer under 10% | Your data | Above it, buyers price the risk |
| Typical industry growth | ~2% / yr | Your data | Beating it can add to your multiple |
| Typical sale multiple | 2.1–5.0× EBITDA | Your data | Where the bidding starts; the levers above move you up |
Benchmarks are blended industry composites, service businesses $1M–$10M revenue, 2026-Q1 — directional, not a precise bar. Your memo measures you against your own books. Connect QuickBooks to fill in your numbers →
The diagnostic arrives as formats you can actually use, plus a private, scoped link to share a curated package with a specific buyer — you decide, card by card, what they see.
A branded slide deck, ready to present — for the buyer meeting, the lender, or the board.
A written diagnostic that holds up with buyers, yours to edit — plain-English summary, how we rebuilt your real earnings, every add-back listed.
Live formulas, not a dead printout — the path from raw profit to your real number, plus the cash-tied-up scenarios a buyer can stress-test.
Most buyers are independent owner-operators and first-time investors drawn by the semi-absentee model — many finance with SBA loans (which favor stores with long assignable leases or owned real estate). A growing tier of multi-store operators and early laundromat funds is pursuing roll-ups in this fragmented space, but they still transact at independent-buyer multiples, not strategic premiums, because no dominant consolidator has emerged. Across both, the diligence is the same — prove the lease, prove the collections (card/app + meter reads), and show the equipment isn't a deferred-capex time bomb. Real estate, when owned, is generally valued separately from the operating business.
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Just what the books can’t show — agreements, key accounts, who runs the crews.
Buyer-readiness score, normalized EBITDA, value range and top flags — instantly.
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Most Laundromats businesses in the $1M–$10M revenue range trade at roughly 2.1× to 5.0× normalized EBITDA, with a typical deal near 3.2×. Smaller, owner-dependent shops sit at the low end; larger, manager-run businesses with recurring revenue reach the top. Your actual number depends on your books — that's what the diagnostic computes, blending recent lower-middle-market closings, main-street marketplace sales, and academic M&A survey data.
Small owner-attended single stores sell on SDE (~3.08x); multi-store and absentee operations sell on EBITDA (~3.19x). The low-labor, semi-absentee model means the two land close together — the owner-labor add-back is small, so there's no large discretionary-earnings bump separating them.
Enormously — a short or non-assignable lease is the most common deal-killer, because a buyer inherits the location risk and often can't finance the purchase. A long assignable lease (or owned real estate) supports the top of the range and lets a buyer underwrite confidently.
Yes — washers and dryers run roughly 10-15 years, so a fleet near end-of-life means a deferred-capex replacement bill plus a higher water and gas load. A buyer discounts both, pricing the replacement cost and the inefficient utility burden straight into the offer.
Card and app collection data (Cents, CCI, ESD), meter reads, and utility-to-revenue ratios document the turns and substantiate revenue. Stores that prove their income this way sell faster and for more; coin-heavy stores with unprovable cash get discounted because a buyer can't audit or finance it.
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