Business IdeasU.S. businesses · USD

Side-by-side scenarios · United States · USD

Car Wash vs Laundromat

Compare opening commitments, annual operating results and the assumptions that drive break-even. Each column keeps its own business scope.

Car Wash$650,000Opening capital

23.4% Year 3 EBITDA margin

Laundromat$420,000Opening capital

15.1% Year 3 EBITDA margin

What the two cases actually model

A shared metric definition does not make two businesses identical. Staffing, premises, equipment and throughput belong to the individual scenario.

AutomotiveIllustrative modeled scenario; editorial review pending

Car Wash

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.

Model scope
4 self-service bays
Operating schedule
7 per week
Staffing assumption
Attendant and maintenance cover

Record updated

Read this case’s assumptions and evidence →
Local servicesIllustrative modeled scenario; editorial review pending

Laundromat

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.

Model scope
20 washers plus dryers
Operating schedule
7 per week
Staffing assumption
Part-time attendant cover

Record updated

Read this case’s assumptions and evidence →

Line by line, on the recorded assumptions

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
Metric and definitionCar WashLaundromat
Opening capitalOne-time base budget, including the recorded reserve$650,000$420,000
Opening capital scenariosDifferent launch scopes; endpoints are not confidence intervals$400,000–$1,100,000$250,000–$800,000
Year 3 revenueAnnual modeled sales$480,000$392,818
Year 3 EBITDABefore interest, tax, depreciation and amortization$112,200$59,188
Year 3 EBITDA marginEBITDA divided by revenue; not net margin or owner distributions23.4%15.1%
Price per sold unitRead each unit label; the units can differ$12.00Average wash spend$12.00Average laundry visit spend
Daily volumeUse the scope above to interpret crew, route, machine or site capacity110Washes per day90Laundry visits per day
Trading days per weekBase unit-economics schedule77
Monthly fixed costsUnit-economics input; distinct from annual expense rows$19,000$15,500
Contribution marginUnit-economics input, not annual EBITDA margin74.0%67.0%
Monthly break-even revenueContribution covers the fixed-cost assumption$25,676$23,134
Operating break-evenFirst modeled month covering fixed operating costs; not investment paybackMonth 518-month modeled horizonMonth 718-month modeled horizon

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 yearCar WashLaundromat
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
−$4,095$0$10,607Month 1Month 9Month 18
Monthly operating results: data table
Each case ends at its recorded horizon. These are monthly results, not cumulative cash.
MonthCar WashLaundromat
1−$3,604−$4,095
2−$2,568−$3,328
3−$1,532−$2,560
4−$496−$1,792
5$540−$1,025
6$1,577−$257
7$2,613$511
8$3,649$1,278
9$4,685$2,046
10$5,722$2,813
11$6,758$3,581
12$7,794$4,349
13$8,830$5,116
14$9,867$5,884
15$10,607$6,432
16$10,607$6,432
17$10,607$6,432
18$10,607$6,432

Volume sensitivity

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
CaseLow volumeBase volumeHigh volume
Car WashWashes per day65Not reached110Month 5160Month 1
LaundromatLaundry visits per day55Not reached90Month 7140Month 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.

Review the operating assumptions →

Laundromat

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.

Review the operating assumptions →

Compare the five business-score dimensions

Editorial assessments · higher is more favorable · weights from the scoring methodology
DimensionCar WashLaundromat
Weighted total / 104.5business-ideas-v14.7business-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.

[scoring-epa-vehicle-washes]
4.0 / 10

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.

[laundry-guide][scoring-energy-commercial-washers]
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.

[scoring-epa-vehicle-washes][scoring-ica-operations-2026]
5.0 / 10

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.

[scoring-laundry-location][scoring-energy-commercial-washers]
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.

[scoring-ica-operations-2026][scoring-epa-vehicle-washes]
6.0 / 10

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.

[scoring-laundry-location][scoring-energy-commercial-washers]
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.

[scoring-epa-vehicle-washes][scoring-ica-operations-2026][cleaning-irs-payroll-2026]
4.0 / 10

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.

[laundry-guide][scoring-energy-commercial-washers][cleaning-irs-payroll-2026]
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.

[scoring-epa-vehicle-washes][scoring-ica-operations-2026]
4.0 / 10

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.

[scoring-energy-commercial-washers][laundry-guide]

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 planned worksheets and written plan 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.

Financial model purchase: Coming soon.

Laundromat

  • 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.

Financial model purchase: Coming soon.

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.

  • capital.total
  • capital.low
  • capital.high
  • capital.items.0.amount
  • capital.items.1.amount
  • capital.items.2.amount
  • capital.items.3.amount
  • capital.items.4.amount
[car-wash-guide][sba-startup]
Assumption: forecast.years.0.revenue + 19 fields

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.

  • forecast.years.0.revenue
  • forecast.years.0.costOfSales
  • forecast.years.0.payroll
  • forecast.years.0.occupancyAndOther
  • forecast.years.1.revenue
  • forecast.years.1.costOfSales
  • forecast.years.1.payroll
  • forecast.years.1.occupancyAndOther
  • forecast.years.2.revenue
  • forecast.years.2.costOfSales
  • forecast.years.2.payroll
  • forecast.years.2.occupancyAndOther
  • forecast.years.3.revenue
  • forecast.years.3.costOfSales
  • forecast.years.3.payroll
  • forecast.years.3.occupancyAndOther
  • forecast.years.4.revenue
  • forecast.years.4.costOfSales
  • forecast.years.4.payroll
  • forecast.years.4.occupancyAndOther
[car-wash-guide][bls-cleaners][sba-startup]
Assumption: unitEconomics.driver.model + 13 fields

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.

  • unitEconomics.driver.model
  • unitEconomics.driver.low
  • unitEconomics.driver.high
  • unitEconomics.volume.model
  • unitEconomics.volume.low
  • unitEconomics.volume.high
  • unitEconomics.daysPerWeek.model
  • unitEconomics.daysPerWeek.low
  • unitEconomics.daysPerWeek.high
  • unitEconomics.fixedCostsMonthly
  • unitEconomics.contributionMargin
  • unitEconomics.ramp.startShare
  • unitEconomics.ramp.stepPerMonth
  • unitEconomics.ramp.horizonMonths
[car-wash-guide][bls-cleaners][sba-startup]
Laundromat: scope, limitations and input evidence

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.

  • capital.total
  • capital.low
  • capital.high
  • capital.items.0.amount
  • capital.items.1.amount
  • capital.items.2.amount
  • capital.items.3.amount
  • capital.items.4.amount
[laundry-guide][sba-startup]
Assumption: forecast.years.0.revenue + 19 fields

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.

  • forecast.years.0.revenue
  • forecast.years.0.costOfSales
  • forecast.years.0.payroll
  • forecast.years.0.occupancyAndOther
  • forecast.years.1.revenue
  • forecast.years.1.costOfSales
  • forecast.years.1.payroll
  • forecast.years.1.occupancyAndOther
  • forecast.years.2.revenue
  • forecast.years.2.costOfSales
  • forecast.years.2.payroll
  • forecast.years.2.occupancyAndOther
  • forecast.years.3.revenue
  • forecast.years.3.costOfSales
  • forecast.years.3.payroll
  • forecast.years.3.occupancyAndOther
  • forecast.years.4.revenue
  • forecast.years.4.costOfSales
  • forecast.years.4.payroll
  • forecast.years.4.occupancyAndOther
[laundry-guide][bls-cleaners][sba-startup]
Assumption: unitEconomics.driver.model + 13 fields

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.

  • unitEconomics.driver.model
  • unitEconomics.driver.low
  • unitEconomics.driver.high
  • unitEconomics.volume.model
  • unitEconomics.volume.low
  • unitEconomics.volume.high
  • unitEconomics.daysPerWeek.model
  • unitEconomics.daysPerWeek.low
  • unitEconomics.daysPerWeek.high
  • unitEconomics.fixedCostsMonthly
  • unitEconomics.contributionMargin
  • unitEconomics.ramp.startShare
  • unitEconomics.ramp.stepPerMonth
  • unitEconomics.ramp.horizonMonths
[laundry-guide][bls-cleaners][sba-startup]

Cite or download these scenarios

The CSV includes the displayed metrics, financial input snapshots, field-level evidence and referenced source records. Preserve the version and scenario status when sharing an extract.

Data version caaf658c8a1dc5a7 · 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

Business Ideas. (2026). Car Wash vs Laundromat: modeled scenario comparison (Version caaf658c8a1dc5a7) [Modeled scenario data set]. https://business-ideas-demo.pages.dev/compare/car-wash-vs-laundromat/

MLA citation

Business Ideas. “Car Wash vs Laundromat: modeled scenario comparison.” Modeled scenario data set, version caaf658c8a1dc5a7, records updated through 2026-09-05, https://business-ideas-demo.pages.dev/compare/car-wash-vs-laundromat/.

Chicago citation

Business Ideas. “Car Wash vs Laundromat: modeled scenario comparison.” Modeled scenario data set. Records updated through 2026-09-05. Version caaf658c8a1dc5a7. https://business-ideas-demo.pages.dev/compare/car-wash-vs-laundromat/.

BibTeX with source entries
@misc{car-wash-vs-laundromat-caaf658c8a1dc5a7,
  title = {Car Wash vs Laundromat: modeled scenario comparison},
  author = {{Business Ideas}},
  year = {2026},
  howpublished = {https://business-ideas-demo.pages.dev/compare/car-wash-vs-laundromat/},
  version = {caaf658c8a1dc5a7},
  note = {2 selected modeled scenarios; not measured national averages. Version caaf658c8a1dc5a7; SHA-256 caaf658c8a1dc5a73b4c626b84f2ae9bb53b201fa5f26ae6ce645ca209e84679. Includes source keys, access dates and assumption evidence. No reuse license is granted for third-party source material.}
}

@misc{bls-cleaners,
  title = {Janitors and Building Cleaners: Occupational Outlook Handbook},
  author = {{U.S. Bureau of Labor Statistics}},
  howpublished = {https://www.bls.gov/ooh/building-and-grounds-cleaning/janitors-and-building-cleaners.htm},
  urldate = {2026-09-05},
  note = {primary. Labor-market context. Owner pay, hours and staffing in each model remain explicit planning assumptions.}
}

@misc{car-wash-guide,
  title = {Car Wash Investor Guide},
  author = {{PELCO Systems}},
  howpublished = {https://pelcosystems.com/wp-content/uploads/2023/09/CarWashInvestorGuide2023.pdf},
  urldate = {2026-09-05},
  note = {vendor. Equipment supplier's planning reference, published in 2023. Local construction, utility connections and lease quotes are still required.}
}

@misc{cleaning-irs-payroll-2026,
  title = {Publication 15 (2026), Employer's Tax Guide},
  author = {{Internal Revenue Service}},
  howpublished = {https://www.irs.gov/publications/p15},
  urldate = {2026-09-05},
  note = {primary. 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.}
}

@misc{laundry-guide,
  title = {Learn what it takes to open a coin laundry},
  author = {{Speed Queen Commercial / Alliance Laundry Systems}},
  howpublished = {https://speedqueencommercial.com/en-us/news/learn-what-it-takes-to-open-a-coin-laundry/},
  urldate = {2026-09-05},
  note = {vendor. 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.}
}

@misc{sba-startup,
  title = {Estimate startup costs and operating cash},
  author = {{U.S. Small Business Administration}},
  howpublished = {https://www.sba.gov/blog/2017/2017-01/how-estimate-starting-costs/},
  urldate = {2026-09-05},
  note = {primary. Framework for startup spending and operating reserves. It does not verify the individual budgets or forecasts on this site.}
}

@misc{scoring-energy-commercial-washers,
  title = {Commercial Clothes Washers},
  author = {{ENERGY STAR / U.S. Environmental Protection Agency}},
  howpublished = {https://www.energystar.gov/products/commercial\_clothes\_washers},
  urldate = {2026-09-05},
  note = {primary. 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.}
}

@misc{scoring-epa-vehicle-washes,
  title = {WaterSense at Work Section 5.4: Vehicle Washes},
  author = {{U.S. Environmental Protection Agency}},
  howpublished = {https://www.epa.gov/system/files/documents/2023-11/ws-commercial-bmp-watersenseatwork\_section5.4\_vehiclewashes.pdf},
  urldate = {2026-09-05},
  note = {primary. 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.}
}

@misc{scoring-ica-operations-2026,
  title = {The Winning Car Wash Playbook},
  author = {{International Carwash Association}},
  howpublished = {https://www.carwash.org/car-wash-magazine-complimentary-content/the-winning-car-wash-playbook},
  urldate = {2026-09-05},
  note = {industry. 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.}
}

@misc{scoring-laundry-location,
  title = {Finding a Location for a Laundromat},
  author = {{Speed Queen Commercial / Alliance Laundry Systems}},
  howpublished = {https://speedqueencommercial.com/en-us/news/laundromats/finding-a-location-for-a-laundromat/},
  urldate = {2026-09-05},
  note = {vendor. 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.}
}

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.

Car Wash Investor Guide

PELCO Systems · vendor · Accessed

Equipment supplier's planning reference, published in 2023. Local construction, utility connections and lease quotes are still required.

Source key: car-wash-guide · Used by Car Wash

Publication 15 (2026), Employer's Tax Guide

Internal Revenue Service · primary · Accessed

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

Learn what it takes to open a coin laundry

Speed Queen Commercial / Alliance Laundry Systems · vendor · Accessed

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.

Source key: laundry-guide · Used by Laundromat

Estimate startup costs and operating cash

U.S. Small Business Administration · primary · Accessed

Framework for startup spending and operating reserves. It does not verify the individual budgets or forecasts on this site.

Source key: sba-startup · Used by Car Wash, Laundromat

Commercial Clothes Washers

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

WaterSense at Work Section 5.4: Vehicle Washes

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

The Winning Car Wash Playbook

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

Finding a Location for a Laundromat

Speed Queen Commercial / Alliance Laundry Systems · vendor · Accessed

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