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Car Wash ROI Calculator

Payback period, 10-year IRR, EBITDA margin, and cap rate for any car wash investment scenario. Format-aware defaults; override any input.

How to use the car wash ROI calculator

  1. Pick your format (express tunnel, in-bay automatic, self-serve bays, or full service). Defaults populate based on industry baselines for that format.
  2. Adjust capital expenditure — total build cost including land, site prep, equipment, and building.
  3. Set revenue assumptions — daily wash volume, average ticket, membership penetration, monthly membership price, and member wash frequency.
  4. Set operating expenses — annual labor, utilities, chemicals as a percentage of revenue, maintenance, and other costs.
  5. Read the results panel on the right: annual NOI, payback period, cap rate, 10-year IRR, and the revenue + opex breakdown update live.
01 Capital expenditure
02 Revenue assumptions
03 Operating expenses (annual)

How this works + caveats

  • Revenue = (daily walk-up volume × avg ticket × 365) + (membership count × monthly price × 12). Membership count = ceil(membership penetration × daily volume × 30 / member frequency).
  • NOI / EBITDA = revenue − all opex. Assumes you own the building (no rent). For leased operations, add lease in "Other".
  • Payback period = capex / annual NOI. Ignores time value of money — see IRR for that.
  • 10-year IRR assumes constant NOI for 10 years, zero terminal value, no debt service. Real-world IRR is higher with terminal sale and lower with debt service.
  • Cap rate = NOI / capex. Useful for comparing against transaction comps in your market.
  • Defaults are reasonable industry baselines, not data from your specific market. For market-specific assumptions, see the per-MSA market analyses or the per-chain operator profiles.
Read
Car Wash Investment Guide
Full primer on car wash economics, format-by-format unit economics, and operating-quality signals.
Compare markets
MSA Market Analyses
All 392 US metropolitan areas with operator concentration, format mix, and per-aspect customer signals.
Benchmark
Chain Operator Profiles
Damage rate, cancel friction, and customer-experience aspect scores across every multi-location chain we track.