What it costs to open a four-bay self-service wash on a leased, previously developed site in the United States, what the model earns, and when operations break even.
What it costs to open a leased self-service laundry with twenty washers and matching dryer capacity in the United States, what the model earns, and when operations break even.
Amounts come from the same content and calculation functions used on the detailed business pages. Compare the metric together with its unit and period.
Model inputs and outputs · USD · no winner is assigned
These modeled values do not establish a better investment. Location-specific demand, funding requirements and owner compensation need their own review.
What each case spends money on
Opening costs are one-time commitments. The expense composition below uses Year 3 annual amounts and each case’s own accounting labels.
Car Wash
Bay equipment and water systems
$385,000
Site and utility improvements
$125,000
Working capital reserve
$65,000
Permits, design and deposits
$45,000
Payment systems and launch
$30,000
Equipment and opening commitments are funded separately from the reserve that supports the initial trading ramp. These are planning allowances.
Year 3 operating expenses
Chemicals, water and variable power
$124,800
Payroll incl. taxes
$98,000
Occupancy and other operating
$145,000
Laundromat
Commercial washers and dryers
$250,000
Plumbing, electrical and fit-out
$90,000
Working capital reserve
$35,000
Lease deposits and permits
$25,000
Payment system, furniture and launch
$20,000
Equipment and opening commitments are funded separately from the reserve that supports the initial trading ramp. These are planning allowances.
Year 3 operating expenses
Water, gas, power and supplies
$129,630
Payroll incl. taxes
$54,000
Occupancy and other operating
$150,000
How the annual results develop
Five model years from each forecast. EBITDA uses all three recorded expense rows; a margin difference alone does not identify its cause.
USD per year · model years, not calendar years · same definitions, different operating scopes
Model year
Car Wash
Laundromat
Year 1Revenue / EBITDA / EBITDA margin
$336,000$37,820 EBITDA · 11.3%
$274,973$3,572 EBITDA · 1.3%
Year 2Revenue / EBITDA / EBITDA margin
$436,800$91,912 EBITDA · 21.0%
$357,464$44,741 EBITDA · 12.5%
Year 3Revenue / EBITDA / EBITDA margin
$480,000$112,200 EBITDA · 23.4%
$392,818$59,188 EBITDA · 15.1%
Year 4Revenue / EBITDA / EBITDA margin
$504,000$119,260 EBITDA · 23.7%
$412,459$63,648 EBITDA · 15.4%
Year 5Revenue / EBITDA / EBITDA margin
$528,000$126,320 EBITDA · 23.9%
$432,100$68,107 EBITDA · 15.8%
Car Wash: forecast basis
The base case builds volume over the opening years, then assumes measured sales growth. Payroll and overhead remain payable when sales are below plan.
Laundromat: forecast basis
The base case builds volume over the opening years, then assumes measured sales growth. Payroll and overhead remain payable when sales are below plan.
Two operating ramps on one grid
Monthly contribution after fixed operating costs, on a common dollar scale. This is the opening-volume ramp; it is neither cumulative cash nor a seasonal forecast.
Car WashLaundromat
Monthly operating results: data table
Each case ends at its recorded horizon. These are monthly results, not cumulative cash.
Only daily volume changes below. Price, trading days, fixed costs, contribution margin and the ramp rule remain at the recorded base inputs. These endpoints are capacity assumptions, not probabilities.
Operating break-even month at each volume input
Case
Low volume
Base volume
High volume
Car WashWashes per day
65Not reached
110Month 5
160Month 1
LaundromatLaundry visits per day
55Not reached
90Month 7
140Month 1
Strengths, tradeoffs and owner fit
Use the operating requirements to narrow your local research. Reviewed editorial context appears only where the content record supplies it.
Car Wash
Reviewed strengths, tradeoffs and owner-fit findings are not yet available for this case.
What it costs to open a four-bay self-service wash on a leased, previously developed site in the United States, what the model earns, and when operations break even.
Reviewed strengths, tradeoffs and owner-fit findings are not yet available for this case.
What it costs to open a leased self-service laundry with twenty washers and matching dryer capacity in the United States, what the model earns, and when operations break even.
Editorial assessments · higher is more favorable · weights from the scoring methodology
Dimension
Car Wash
Laundromat
Weighted total / 10
4.5business-ideas-v1
4.7business-ideas-v1
Barrier to entry15% weight · Higher means easier entry.
4.0 / 10
Obtainable equipment and approvals still leave fixed wash plant, utilities and site commissioning as the dominant opening hurdles.
Assessment basis
Anchor 4: dedicated premises, fixed plant and interdependent installation stages dominate otherwise established entry. EPA describes distinct vehicle-wash systems and their water-handling requirements. The current four-bay site commits the operator to wash equipment and site/utility works, even when an existing developed location is reused. This is more interdependent than anchor 5's ordinary premises setup. No scarce land right or exceptional approval obstacle is assumed for anchor 3. Verify the lease, water supply, discharge arrangements, installed condition and local approvals; no tunnel or automatic reclaim-system assumption is imported.
Commercial laundry equipment is obtainable, but utility capacity, layout and interdependent installation make the site the dominant opening commitment.
Assessment basis
Anchor 4: dedicated premises and fixed plant with coordinated installation. Speed Queen's opening guide identifies equipment/layout planning and locally variable water connections; ENERGY STAR distinguishes equipment supply from operating responsibility. Twenty washers and matching dryers require a compatible leased site rather than a simple reversible retail setup, preventing anchor 5. An existing laundry conversion can reduce work, but is an input scenario rather than a confirmed available property. Obtain utility engineering, distributor quotations, lease permission and applicable local approvals before applying the assessment.
Competition20% weight · Higher means more favorable competitive conditions.
4.0 / 10
An accessible catchment can still expose self-service wash prices and convenience to comparison with other wash formats.
Assessment basis
Anchor 4: an accessible but crowded scenario with ordinary differences and limited pricing protection. EPA distinguishes alternative wash formats; ICA reporting describes competition and customer experience across them. The selected catchment is assumed to contain reachable customers and close alternatives, without a measured local count. Working equipment, cleanliness and access can win visits, but the assumed crowding and close price comparison limit the assessment; no favorable local position is claimed. Compare nearby self-service, automatic and home-washing options before applying this score locally.
Convenient access can win a reachable household segment, while nearby laundries and laundry inside housing limit pricing protection.
Assessment basis
Anchor 5: a reachable segment with ordinary service differences and easy switching. The manufacturer describes customers without home laundry access and the relevance of convenience; ENERGY STAR documents multifamily laundry alternatives. The assessment assumes a viable local renter/household catchment without claiming it is underserved. Clean machines, useful sizes, access and reliable hours can differentiate ordinary service, but there is no evidenced location advantage for anchor 6. Verify household laundry access, nearby capacity, prices and walking/transit patterns; national or vendor context does not establish those local facts.
Demand stability25% weight · Higher means more stable demand.
5.0 / 10
Vehicle cleaning repeats, but pay-per-use visits remain postponable and exposed to weather and seasonal changes.
Assessment basis
Anchor 5: a recurring baseline alongside meaningful seasonality or discretionary exposure. ICA reporting identifies weather variability, while EPA confirms the elective customer-operated wash format. The scenario assumes ordinary repeat users across the year, with weak periods caused by unfavorable weather or postponed cleaning. It adds no subscription or fleet contract. A smoothed annual wash target is not evidence of stable monthly demand; the unvalidated local weather and customer calendar prevent anchor 6. The cited hybrid operator is qualitative context, not a self-service demand survey.
Clothing care creates recurring demand, while changing household access and alternative laundry facilities constrain paid visits.
Assessment basis
Anchor 6: repeat use across much of the year and multiple customers, with known channel sensitivity. Manufacturer guidance identifies recurring external-laundry users; ENERGY STAR documents in-building alternatives. The conditional catchment includes unrelated households requiring external laundry access, without a dominant institutional account. Customers can change facilities, gain household equipment or shift laundry timing, so necessary clothing care is not guaranteed store demand. These mechanisms support anchor 6; the documented manageable fluctuations of anchor 7 are not established. Verify local housing access, customer mix and monthly use rather than treating vendor guidance as a measured stability average.
Margin ceiling20% weight · Higher means greater supported operating-profit potential.
5.0 / 10
Customer-operated bays can produce surplus after staffed cover, but local utilization, utilities and fixed equipment costs remain decisive.
Assessment basis
Anchor 5: conditional positive mature surplus after paid labor and overhead, with material utilization and cost exposure. The authored third-year screen retains surplus under the common sales and cost stresses. EPA documents water-system demands and ICA identifies equipment faults and maintenance work. The score applies only if paid owner/attendant cover, routine repairs, rent, administration and utility tariffs fit the recorded cost allowances at feasible bay use. Site-specific quotes, peak queues, downtime and replacement investment remain unverified. Automation supplies no evidenced pricing advantage for anchor 6; EBITDA excludes depreciation, financing, tax and capital replacement.
The self-service model can generate a conditional surplus, but utilities, equipment upkeep and limited coverage constrain the practical buffer.
Assessment basis
Anchor 4: a mature surplus with limited protection from routine cost variation. The authored third-year case is positive in the common stress screen, but the larger payroll-and-sales screen leaves little headroom before replacement investment. Manufacturer and ENERGY STAR guidance establish utility and maintenance responsibilities, not quoted unit costs. Part-time attendance plus paid owner administration, repairs, rent and other overhead must fit the record; visit-to-cycle mix, peak loads, tariffs and callout costs need local checks. Capital intensity and these cost constraints prevent anchor 5's stronger coverage. EBITDA is pre-depreciation, pre-interest and pre-tax; machine replacement is an additional cash requirement.
Owner dependency20% weight · Higher means less dependence on the owner's continuous involvement.
4.0 / 10
Attendants and customers handle routine activity, but the owner remains responsible for daily oversight and unresolved equipment or payment problems.
Assessment basis
Anchor 4: routine operations can proceed without the owner at each transaction, but daily coordination remains necessary. EPA describes self-service operation; an ICA hybrid-site example illustrates maintenance and payment faults. The current attendant/maintenance cover is credited for ordinary tasks only, with paid owner work retained inside the stated labor allowance. No documented lead with authority over repairs, cash handling and customer issues supports anchor 5. Equipment can sell service between interventions; that fact does not establish funded management or absence cover.
Customers and attendants perform routine activity, but the owner retains daily service coordination and unresolved maintenance or customer issues.
Assessment basis
Anchor 4: routine activity proceeds independently while daily owner coordination remains required. ENERGY STAR distinguishes machine supply from responsibility for operating and maintaining laundry facilities. The record provides part-time attendant cover and relevant paid owner work, not an operational manager with full authority. Automatic cycles do not resolve cash issues, cleaning, faults or service recovery. No documented lead and funded procedures establish anchor 5. Confirm what attendance, repair purchasing and absence cover can actually be delivered within the existing payroll and overhead.
Scores are editorial judgments about the stated operating scopes. They are not probabilities of success or investment recommendations. Read the five-component methodology →
Explore the planning files
The figures here are calculated from the website’s scenario records. Review the online previews and product details for each business before choosing a product.
Car Wash
Startup costs and funding. Opening line items, working capital and the equity and loan funding split.
Scenarios. Compare volume, price and cost assumptions across three operating cases.
Dashboard. Review revenue, operating earnings, cash balance and break-even together.
See the product page for purchase options and terms.
How far the comparison can go
Definitions are consistent, but the cases are not normalized to one city, staffing level, building or sales unit. Annual forecasts and monthly unit-economics sensitivities can use different fixed-cost assumptions.
Car Wash: scope, limitations and input evidence
Illustrative modeled scenario; editorial review pending. The equipment guide sets the physical scope. All site allowances are planning budgets pending contractor quotes. Daily washes and average spend are capacity assumptions; fixed costs include staffed cover, rent, insurance and maintenance. Weather, water tariffs and equipment downtime can materially change results. The lower scenario reuses usable bays and utilities; the upper scenario replaces equipment and undertakes major site work. Land purchase and a conveyor tunnel are excluded. Annual figures are whole USD; fixed costs are monthly. The ramp, opening schedule, volume bounds and future growth are assumptions, not measured industry outcomes. The calculator holds contribution margin and fixed costs constant while price, volume and days change. The evidence register below maps every numeric input to its basis and source context. Payroll includes working-owner labor where relevant. Interest, income tax, owner distributions and property acquisition are excluded. Primary occupational data takes precedence for pay context; no comparable primary quote for these local project budgets was found.
Opening allocation. Equipment and opening commitments are funded separately from the reserve that supports the initial trading ramp. These are planning allowances.
Annual forecast. The base case builds volume over the opening years, then assumes measured sales growth. Payroll and overhead remain payable when sales are below plan.
The evidence register maps exact input fields to their basis. “Assumption” means the amount was selected for the scenario; the linked reference does not independently establish that amount.
Assumption: capital.total + 7 fields
The equipment guide sets the physical scope. All site allowances are planning budgets pending contractor quotes. Daily washes and average spend are capacity assumptions; fixed costs include staffed cover, rent, insurance and maintenance. Weather, water tariffs and equipment downtime can materially change results. The lower scenario reuses usable bays and utilities; the upper scenario replaces equipment and undertakes major site work. Land purchase and a conveyor tunnel are excluded.
Each annual revenue, product-cost, payroll and overhead entry is an author-selected scenario input. Sales ramp, staffing and future cost changes are modeled rather than observed; the references provide scope and labor context only.
Ticket, daily throughput and trading days define a capacity scenario. Bounds, monthly fixed costs, contribution margin and the linear opening ramp are chosen sensitivity assumptions, not measured national averages.
Illustrative modeled scenario; editorial review pending. The manufacturer guide informs equipment and permitting scope. It does not quote the equipment allowance used here. Visit spend bundles washing and drying; visits are not washer cycles. Utility costs and plumbing capacity require engineering and tariff checks. All financial inputs are modeled allowances pending distributor and lease quotations. The lower case refits an existing laundry with reusable infrastructure; the upper case converts a larger retail unit and installs new equipment. Real estate purchase is excluded. Annual figures are whole USD; fixed costs are monthly. The ramp, opening schedule, volume bounds and future growth are assumptions, not measured industry outcomes. The calculator holds contribution margin and fixed costs constant while price, volume and days change. The evidence register below maps every numeric input to its basis and source context. Payroll includes working-owner labor where relevant. Interest, income tax, owner distributions and property acquisition are excluded. Primary occupational data takes precedence for pay context; no comparable primary quote for these local project budgets was found.
Opening allocation. Equipment and opening commitments are funded separately from the reserve that supports the initial trading ramp. These are planning allowances.
Annual forecast. The base case builds volume over the opening years, then assumes measured sales growth. Payroll and overhead remain payable when sales are below plan.
The evidence register maps exact input fields to their basis. “Assumption” means the amount was selected for the scenario; the linked reference does not independently establish that amount.
Assumption: capital.total + 7 fields
The manufacturer guide informs equipment and permitting scope. It does not quote the equipment allowance used here. Visit spend bundles washing and drying; visits are not washer cycles. Utility costs and plumbing capacity require engineering and tariff checks. All financial inputs are modeled allowances pending distributor and lease quotations. The lower case refits an existing laundry with reusable infrastructure; the upper case converts a larger retail unit and installs new equipment. Real estate purchase is excluded.
Each annual revenue, product-cost, payroll and overhead entry is an author-selected scenario input. Sales ramp, staffing and future cost changes are modeled rather than observed; the references provide scope and labor context only.
Ticket, daily throughput and trading days define a capacity scenario. Bounds, monthly fixed costs, contribution margin and the linear opening ramp are chosen sensitivity assumptions, not measured national averages.
Use the page citation and revision date when referring to these modeled scenarios. Sources and their scope are listed below.
Data version ab9ad9c1997a759a · Records updated through . Source access dates are listed below. This version identifies the supplied content; the page URL may change with later revisions.
APA citation
StartFigures. (2026). Car Wash vs Laundromat: modeled scenario comparison (Version ab9ad9c1997a759a) [Modeled scenario data set]. https://startfigures.com/compare/car-wash-vs-laundromat/
MLA citation
StartFigures. “Car Wash vs Laundromat: modeled scenario comparison.” Modeled scenario data set, version ab9ad9c1997a759a, records updated through 2026-09-05, https://startfigures.com/compare/car-wash-vs-laundromat/.
Chicago citation
StartFigures. “Car Wash vs Laundromat: modeled scenario comparison.” Modeled scenario data set. Records updated through 2026-09-05. Version ab9ad9c1997a759a. https://startfigures.com/compare/car-wash-vs-laundromat/.
These are modeled cases, not measured national averages. No Creative Commons license or DOI is asserted. Referenced material remains subject to its publisher’s terms.
Sources and disclosure
Sources support the fields and context stated in each evidence entry. A reference link is not certification of an entire forecast.
Employer Social Security is 6.2% up to the 2026 wage base; Medicare is 1.45%. Tips and unemployment taxes need separate treatment. The model's additional unemployment and workers' compensation allowances are not IRS rates.
Source key: cleaning-irs-payroll-2026 · Used by Car Wash, Laundromat
Original manufacturer describes equipment, layout, local permit and utility-connection planning plus recurring utilities and insurance. It does not quote this model's opening costs or profits.
ENERGY STAR / U.S. Environmental Protection Agency · primary · Accessed
Describes commercial laundry equipment, route/distributor responsibilities and on-site multifamily laundry alternatives. No advertised efficiency percentage is applied to this laundromat's machine mix or utility bill.
Source key: scoring-energy-commercial-washers · Used by Laundromat
U.S. Environmental Protection Agency · primary · Accessed
Distinguishes self-service, in-bay and conveyor washing and explains water-system operation and maintenance. Supports plant and utility constraints; no water volume, tariff or reclaim saving is adopted into the model.
Source key: scoring-epa-vehicle-washes · Used by Car Wash
International Carwash Association · industry · Accessed
Original industry reporting illustrates equipment faults, maintenance routines, competitive alternatives and weather exposure. Its named hybrid self-service/in-bay operator is context, not a representative sample or this four-bay forecast.
Source key: scoring-ica-operations-2026 · Used by Car Wash
Manufacturer describes recurring laundry need and the relevance of convenience, renters and access to household machines. Use as a catchment-selection mechanism, not proof of an underserved neighborhood.
Source key: scoring-laundry-location · Used by Laundromat