A healthy checking account can hide an unhealthy laundromat. The purpose of a dashboard is to show you the problem before the bank balance does.

 

Stop Managing by Bank Balance

A laundromat can look healthy right up until the moment it does not. The parking lot may be full. The card-system report may show another solid weekend. There may be plenty of money in the checking account. Yet none of those facts, by themselves, tells an owner whether the underlying business is getting stronger.

That is the trap of managing by bank balance. Cash is important, but cash is a lagging result of dozens of other things: pricing, turns, rent, utilities, labor, downtime, repair frequency, debt service, capital spending and the owner’s own labor. A checking account collapses all of that into one number and strips away the explanation.

A better operator does not need a forty-page corporate reporting package. A laundromat needs a short monthly dashboard: a handful of numbers that explain what happened, why it happened and what deserves attention next.

The best dashboard is not designed to impress an accountant. It is designed to help an owner make decisions. It should be simple enough to review every month, consistent enough to reveal trends, and specific enough to show where profit is leaking before the leak becomes obvious.

Revenue tells you how busy the business was. A dashboard tells you whether that activity created value.

Benchmarks are useful. Trends are better.

Industry benchmarks give owners context, but they should never become blind targets. CLA’s 2024 Laundry Industry Survey collected 377 usable responses from self-service laundry owners. In that survey, median utility expense was 20% of gross revenue, median rent as a percentage of gross revenue was 18%, and median payroll among stores with payroll was 20%. Respondents reported a median operating net profit of 27% before taxes, debt service and owner compensation. [1]

Those figures are useful because they tell you what a broad cross-section of operators reported. They do not tell you what your specific store should produce. A rural unattended store, an urban fully attended store, a high-rent market, a WDF-heavy operation and a newer high-efficiency store can all have legitimately different economics.

The owner’s first benchmark should therefore be the store’s own history. Compare this month with the same month last year. Compare the trailing three months with the prior trailing three months. Watch the relationship between metrics. A utility ratio rising while turns are flat tells a different story than a utility ratio rising because utility rates jumped. Context matters.

SELECT INDUSTRY REFERENCE POINTS

Metric	2024 CLA survey median	How to use it
Utilities / gross revenue	20%	Compare against your own history and local utility rate changes.
Rent / gross revenue	18%	Use total occupancy cost where possible, including NNN/CAM charges.
Payroll / gross revenue*	20%	Only comparable among stores with payroll; service mix matters.
Operating net profit	27%	Before taxes, debt service and owner compensation; not owner take-home pay.
Revenue / sq. ft.	$120	Useful context for capacity and site productivity, not a standalone verdict.

*Payroll benchmark excludes stores without payroll. Source: CLA 2024 Laundry Industry Survey.

The 10-number monthly dashboard

The following ten metrics answer four basic owner questions: Are customers using the store? Are we pricing and operating efficiently? Are fixed obligations consuming too much of the revenue? And after everything is paid, is the business actually producing durable cash flow?

#	Metric	What it tells you
1	Revenue + year-over-year change	Whether demand is growing, shrinking or merely seasonal.
2	Turns per day by washer class	Which machine sizes are actually creating productive capacity.
3	Realized vend revenue per turn	Whether pricing is keeping pace with value and cost.
4	Utilities as % of revenue	Whether water, sewer, gas and electric are staying in relationship with sales.
5	Occupancy cost as % of revenue	Whether the lease is consuming too much of the economics.
6	Labor as % of revenue	Whether staffing is productive for the services being delivered.
7	Repairs + maintenance trend	Whether aging equipment or deferred maintenance is becoming a margin problem.
8	Machine uptime / downtime	Whether capacity exists when customers actually need it.
9	Debt service coverage	Whether operating cash flow comfortably supports scheduled debt.
10	Cash available after debt + capital reserve	Whether the business is creating spendable, repeatable owner value.

1. Total Revenue and Year-over-Year Change

Begin with revenue, but do not stop there.

Year-over-year change = (Current month revenue – Same month last year revenue) / Same month last year revenue

Monthly revenue tells you scale. Year-over-year revenue tells you direction. Comparing September with August can be misleading because laundromats have day-of-week, weather, school-calendar, first-of-month and seasonal patterns. Comparing September with the prior September usually gives cleaner context.

Break revenue into meaningful streams when possible: self-service washer revenue, dryer revenue, vending, WDF, pickup and delivery, commercial accounts and other services. A store can post flat total revenue while a profitable core business is growing and a labor-heavy side business is shrinking, or vice versa.

If you use a card or app system, revenue data should be available daily. Coin stores can still build a reliable monthly record through disciplined collections and bookkeeping. The point is not perfect granularity; it is consistency.

What to watch: Revenue up but cash down? Look at debt principal, capital spending, taxes, inventory/supplies, owner draws and timing differences before assuming the business weakened.

2. Turns Per Day by Washer Size

Turns per day converts a row of machines into a productivity measure.

TPD = Paid washer cycles / Installed washers / Days in the measurement period

CLA describes cycles per day, or turns per day, as a standard equipment-performance measure and notes that washer performance can vary widely based on demographics, machine mix, pricing, competition and other factors. Its public industry overview describes a broad range from roughly three TPD to eight or more. [2]

The mistake is averaging the whole store and calling it done. A 20-pound washer and an 80-pound washer serve different customer needs and carry different vend prices. Track turns by machine class. You may discover that large-capacity machines are constrained while smaller machines are underused, or that a specific bank of washers is losing turns because customers dislike its location or reliability.

TPD also makes equipment decisions more rational. Before adding machines, ask whether existing capacity is truly saturated during peak demand or merely busy at certain times. Before replacing a machine class, ask whether the problem is equipment age, price, placement or demand.

What to watch: A falling TPD trend with stable demographics deserves investigation. A high TPD figure on a machine class may indicate demand, but it can also signal too little capacity and customer waiting during peaks.

3. Realized Vend Revenue per Turn

Posted price is what you charge. Realized revenue per turn is what the store actually earns.

Realized washer revenue per turn = Washer revenue / Paid washer cycles

If every cycle sold at the posted base price, this number would be simple. In real stores, modifiers, premium cycles, time-of-day pricing, loyalty discounts, promotions, refunds and payment-system behavior can make realized revenue different from the sticker price.

Tracking revenue per turn by machine size lets you see whether pricing changes actually made it into revenue. It also helps expose situations where turns are rising but customers are migrating toward lower-priced cycles or where promotions are more expensive than expected.

Use this metric alongside TPD. Turns tell you usage. Revenue per turn tells you yield. Together they explain washer revenue far better than either one alone.

What to watch: If vend price increased but realized revenue per turn barely moved, check discounts, cycle selection, modifiers, refunds and whether customers traded down to smaller machines.

4. Utilities as a Percentage of Revenue

Utilities are one of the most revealing ratios in a laundromat.

Utility ratio = Water + sewer + gas + electricity / Gross revenue

In CLA’s 2024 survey, owners reported median utility expense of 20% of gross revenue and a mean of 21%. [1] That is a useful reference point, but local water and sewer rates, climate, equipment age, water-heating design, store hours and service mix can move an individual store well away from the median.

The ratio matters because much of laundry utility usage is generated by activity. More washer turns consume more water, sewer capacity and hot water; more dryer activity consumes more gas or electricity. If utility dollars rise because revenue and turns rose proportionately, the store may be fine. If utility dollars rise while revenue is flat, something changed.

Watch the components separately when possible. A water spike may point to a leak, running toilet, valve issue or meter problem. A gas spike may point to heating efficiency, dryer airflow or rate changes. An electrical increase may be related to HVAC, lighting, voltage issues or rate structures.

What to watch: The ratio is a diagnostic flag, not a verdict. Investigate usage, billing periods and rate changes before blaming equipment or pricing.

5. Occupancy Cost as a Percentage of Revenue

Rent is not just a bill. It is a claim on every future dollar the store earns.

Occupancy ratio = Base rent + CAM/NNN + required occupancy charges / Gross revenue

The 2024 CLA survey reported median rent at 18% of gross revenue among respondents and specifically asked owners to include triple-net charges where applicable. [1] That matters because base rent alone can understate the true occupancy burden.

Unlike payroll scheduling or vend pricing, the lease is difficult to change quickly. That makes occupancy one of the most important ratios to monitor before renewal, expansion or acquisition. A rising rent ratio can come from contractual escalations, CAM increases, property tax pass-throughs or weakening revenue.

Owners should know both the monthly dollar amount and the percentage. The percentage translates the lease into operating reality. It also helps when comparing locations of different sizes or revenue levels.

What to watch: If occupancy is rising faster than revenue, start planning early. Lease problems are much easier to address 18 months before renewal than 30 days before expiration.

6. Labor as a Percentage of Revenue

Labor should be measured against the service model, not against somebody else’s store.

Labor ratio = Wages + payroll taxes + employer labor burden / Gross revenue

Among 2024 CLA survey respondents that had payroll, the median payroll share was 20% of gross revenue. The survey excludes stores without payroll from that calculation. [1] That caveat is critical. An unattended coin laundry and a fully attended WDF operation should not have the same labor ratio.

For an attended self-service store, labor may buy cleanliness, security, customer service and uptime. For WDF, pickup and delivery or commercial accounts, labor is part of the product itself. The question is not simply whether labor is high. The question is whether labor produces enough revenue and customer value to justify its cost.

For labor-heavy services, add revenue per labor hour or pounds processed per labor hour. Those measures help distinguish a staffing problem from a pricing problem. If productivity is strong but the labor percentage remains high, pricing may be too low. If pricing is sound but productivity is weak, process or training may be the issue.

What to watch: Do not cut labor blindly to improve a ratio. A cheaper dirty store can destroy revenue faster than it saves payroll.

7. Repairs and Maintenance as a Percentage of Revenue

Repair expense is not just a cost line; over time, it becomes an equipment-age signal.

Repair ratio = Repair labor + parts + maintenance contracts / Gross revenue

One expensive month does not necessarily mean anything. A three-year trend can mean a great deal. Track repairs by store and, when practical, by machine or equipment class. An aging machine that generates repeated service calls, lost turns and customer complaints may be economically obsolete before it is mechanically dead.

Separate routine preventive maintenance from break-fix expense when possible. Preventive spending can increase today while reducing emergency calls tomorrow. Lumping the two together may make good maintenance look like bad performance.

The repair ratio is most useful when paired with downtime. A store can have modest repair invoices because the owner delays fixes, while revenue quietly suffers from out-of-service machines. Expense alone does not capture that loss.

What to watch: Watch for repeated failures on the same machine family, rising parts cost, declining parts availability and repairs that no longer restore dependable uptime.

8. Machine Uptime and Downtime

A machine that is installed but unavailable is not capacity. It is floor space.

Uptime % = Available machine-hours / Scheduled machine-hours

Downtime is often managed informally: an attendant puts up a sign, someone texts the owner, and a service ticket gets opened. That is not enough data. Record when a machine goes down, when it returns to service, the cause, the repair and whether the failure repeated.

High downtime can distort several other metrics. TPD appears lower because a machine was unavailable. Customers shift into other sizes. Dryer demand may fall when washer capacity is constrained. Reviews can deteriorate even though total revenue has not yet changed dramatically.

The best operators distinguish total downtime from peak-period downtime. Losing an 80-pound washer for six quiet overnight hours is not economically equivalent to losing it for six hours on Sunday afternoon.

What to watch: Prioritize machines by economic impact: capacity, peak demand, revenue per turn, repair recurrence and whether customers have a substitute available.

9. Debt Service Coverage Ratio

A profitable operation can still be financially fragile if debt consumes too much of the cash it produces.

DSCR = Cash available for debt service / Required principal and interest payments

Debt service coverage ratio is a lender’s way of asking a simple question: does the business generate enough cash to make its scheduled debt payments with room for error? A ratio above 1.00 means calculated cash available for debt service exceeds scheduled debt service; below 1.00 means it does not. The exact definition of cash available, required cushion and adjustments varies by lender and loan program.

Owners should calculate DSCR for themselves even when no lender is asking. It shows whether a decline in revenue, increase in utility rates or unexpected repair bill could quickly create payment pressure. It also helps an owner evaluate whether a second location or major retool is affordable.

SBA guidance for business planning emphasizes using income statements, balance sheets and cash-flow statements, along with projections, to evaluate business stability and future funding needs. [3] That discipline is just as useful after the loan closes as it is during underwriting.

What to watch: Do not confuse “the payment cleared” with strong debt coverage. The question is how much room remains after it clears.

10. Cash Available After Debt Service and Capital Reserve

This is the number closest to answering: What did the business actually create for the owner?

Owner cash generation = Operating cash flow – debt service – recurring capital reserve – normalized management/owner labor adjustment

Laundromats are asset-heavy businesses. Machines wear out. HVAC, water heating, payment systems and building infrastructure eventually require capital. A P&L can show attractive operating profit while ignoring the future cash cost of replacing those assets.

That is why the final monthly dashboard should include a deliberate capital reserve. The exact amount depends on equipment age, replacement schedule, warranties, financing strategy and the owner’s tolerance for future borrowing. The important point is to stop pretending equipment lasts forever simply because depreciation is a non-cash accounting expense this month.

Owner labor also deserves honesty. If the owner personally performs management, collections, repairs or attendant shifts, that labor has economic value. When evaluating the investment return or comparing the store with another business, normalize for the work the owner is providing.

The CLA survey’s reported operating net profit metric is explicitly before taxes, debt service and owner compensation. [1] That is precisely why owners should not treat an operating-margin benchmark as personal take-home income.

What to watch: If the business shows profit but repeatedly needs owner cash injections for equipment replacement, the dashboard is missing capital consumption.

Three Bonus Metrics Worth Adding

Customer reputation and review velocity

Star rating is useful, but the trend is more useful. Track new reviews, recurring complaints and whether maintenance, cleanliness, safety or staff issues appear repeatedly. Reviews are a leading indicator of customer experience; revenue may respond later.

Cash reserve and near-term capital needs

List actual unrestricted cash alongside the next 12 to 24 months of likely equipment and infrastructure needs. This connects the working-capital conversation to reality instead of an arbitrary months-of-expense rule.

WDF productivity

For stores with wash-dry-fold, track pounds processed per labor hour, revenue per labor hour, rewash/claim rates and contribution margin. WDF can grow top-line revenue while weakening economics if labor and delivery costs are not measured separately.

A One-Page Monthly Laundromat Dashboard

Use the same definitions every month. The goal is not to create perfect accounting; it is to create a consistent operating instrument that lets you see direction quickly.

Metric	This Month	Same Month LY	Change	Owner Note
Total revenue
Washer turns/day
Realized washer $/turn
Utilities %
Occupancy %
Labor %
Repair & maintenance %
Machine uptime %
DSCR
Cash after debt/cap reserve

What the Dashboard Is Trying to Tell You

Pattern	Possible questions to investigate
Revenue up, cash down	Debt principal? Taxes? Capital spending? Owner draws? Working-capital timing?
TPD down, revenue flat	Price increase masking lower usage? Customer migration to larger machines?
Utilities % rising	Rate increase? Leak? water-heating issue? dryer airflow? lower revenue denominator?
Labor % rising	More service revenue? weaker productivity? overstaffing? pricing too low?
Repair % rising + uptime falling	Equipment replacement may be approaching; identify recurring offenders.
Reviews declining before revenue	Customer experience may be weakening before financial results show it.
DSCR tightening	Debt load is reducing resilience; stress-test a revenue decline or cost shock.

The 30-Minute Monthly Owner Review

A dashboard is worthless if it becomes another report nobody reads. Put a recurring 30-minute review on the calendar and use the same agenda every month:

Time	Focus
Minutes 0-5	Revenue, year-over-year change and major service-mix shifts.
Minutes 5-10	Turns, realized vend revenue and any machine class that moved materially.
Minutes 10-15	Utilities, occupancy and labor ratios.
Minutes 15-20	Repair expense, downtime and top recurring equipment issues.
Minutes 20-25	Debt coverage, cash reserve and upcoming capital spending.
Minutes 25-30	Choose no more than three actions, assign an owner and a due date.

Five Rules for Using the Numbers Correctly

1. Compare like periods. Match billing periods, account for seasonality, and prefer year-over-year comparisons when monthly patterns vary.
2. Use ratios and dollars together. A $2,000 utility increase may be harmless if revenue rose $15,000. A 3-point ratio increase may be a warning even when the dollar change looks small.
3. Never let one metric make the decision. High turns can be good or can signal insufficient capacity. Low labor can be efficient or can mean the store is dirty and customers are leaving. Metrics work in relationships.
4. Define every metric once. Decide whether gross revenue includes sales tax, how refunds are treated, what goes into labor burden, and how downtime is measured. Changing definitions destroys trend value.
5. Act on exceptions, not noise. Do not redesign the business because one month moved strangely. Investigate material changes, repeated changes and relationships that no longer make sense.

The Goal Is Not More Data. It Is Earlier Truth.

Most laundromat owners do not need more reports. They need a short list of numbers they trust.

A monthly dashboard creates that trust. It turns vague impressions — “the store seems busy,” “utilities feel high,” “repairs are getting annoying” — into questions that can be tested. It gives managers a common language. It helps an owner decide when to raise prices, replace equipment, change staffing, renegotiate a lease, reduce downtime or delay an expansion.

Most importantly, it separates cash from performance. The bank account tells you what survived all the transactions that have already happened. The dashboard tells you what is changing underneath the business.

Ten numbers. Once a month. Thirty minutes.

If the numbers are healthy, the owner can worry less. If they are not, the owner gets the greatest advantage a business can offer: time to do something about it.

Your checking account should confirm the story. It should not be the only place you look for one.

Sources and Notes

[1] CLA, The Laundry Association. 2024 Laundry Industry Survey Results.

Readex Research conducted the survey for CLA. The report states that 377 usable responses were received (6% response rate) and notes a ±4.9 percentage-point margin of error for percentages based on 377 responses. Relevant reported medians include utilities at 20% of gross revenue; rent at 18% of gross revenue; payroll at 20% among respondents with payroll; $120 gross revenue per square foot; and operating net profit before taxes, debt service and owner compensation. https://member.laundryassociation.org/hubfs/IndustrySurvey24.pdf

[2] CLA, The Laundry Association. Industry Overview.

CLA explains turns per day/cycles per day as an equipment-performance measure and notes that washer TPD can vary widely based on demographics, machine capacity and quantity, vend pricing and competition, with a general range of about three to eight or more. https://laundryassociation.org/for-investors/industry-overview/

[3] U.S. Small Business Administration. Plan Your Business / Manage Your Business.

SBA guidance emphasizes maintaining financial statements, understanding cash flow, and using income statements, balance sheets, cash-flow statements and projections in business decision-making and funding preparation. https://www.sba.gov/counseling/plan-your-business/ and https://www.sba.gov/counseling/manage-your-business/

Important Benchmark Note

Industry benchmarks are context, not prescriptions. The CLA survey is a voluntary owner survey, not a census, and individual store economics can differ materially because of geography, lease structure, utility rates, equipment age, attendance model, ancillary services, competition and financing. Owners should prioritize consistent internal trend data and use external benchmarks as prompts for investigation rather than automatic pass/fail thresholds.