Commercial
Most facility calculators multiply bays by rate by hours and stop there. That number is revenue, and revenue is not the question. This one subtracts rent, labour, utilities, licensing, cost of goods and card fees, then tells you the utilization you have to hit to cover them.
Figures retrieved 7 August 2026. Reviewed against their published sources on the same date.
Share of your total open bay-hours that are actually billed. Published first-year venues average 33%.
Defaults to 300 sq ft per bay plus 900 for back-of-house, bar and circulation. Replace it with a real figure from a listing if you have one. fitted to the published venue footprint
Two more are added for open and close.
Debt service is reported as its own line and is deliberately kept out of operating cost.
Utilization needed to break even
34%
Published first-year venues average 33%; mature venues reach 50–65%.golfoclock, 200+ venues
Monthly, at 33%
Short by $618 a month. Three ways to close it.
An estimate, not a quote. Payback here is build cost divided by monthly operating profit on your own inputs. It ignores taxes, working capital and the ramp-up period, and debt service unless you turn financing on. Every constant, sourced
Revenue scales with utilization; most cost does not. Rent, the manager, the course licences and the insurance are owed whether or not anyone books a bay. So the question that decides whether a venue works is not how much it can make in a good month — it is how full it has to be before it stops losing money.
That figure is also the one you can check against something. Published data puts first-year venues at around 33% of open bay-hours and mature venues at 50–65%. If your break-even lands above what you can realistically reach in year one, you know before you sign a lease rather than after.
The same truth is reported three ways — as a percentage, as billed bay-hours per month, and as a rate per bay-hour — because each has an independent published benchmark to sit against, and because an operator thinks in hours where a developer thinks in percentages.
Every constant is listed on themethodology page with its source and, more importantly, with what kind of figure it is: published by a third party, our decomposition of a published total, or our own assumption. Fourteen of them are assumptions. Saying so is cheaper than being caught.
The third-party figures the model is calibrated against are reproduced on thebenchmarks page, each naming its source in its own row.
The build fails if any constant loses its source. That is not a policy, it is a script.
This is the commercial model — multiple bays, staff, a lease, and revenue. A residential build is a different product with different economics.Our homeowner estimate covers that, including the ceiling height question that decides most of it.