Express Car Wash Revenue and Project Feasibility

How Throughput, Recurring Revenue, and Capital Structure Determine Bankability under SBA 7(a), SBA 504, and USDA Loan Programs

Executive Summary

The express exterior car wash has become one of the most actively financed small-business real estate assets in the United States, and one of the most exposed to a single analytical question: can the revenue line clear debt service through stabilization? For a low-labor, high-throughput tunnel, feasibility is almost entirely a revenue problem. Land, building, and equipment are largely fixed and knowable; the variables that decide whether a project is bankable are how many cars cross the conveyor, how many of those drivers convert to recurring membership, and how those flows hold up against the debt service implied by the chosen capital structure.

This report frames express car wash revenue not as a marketing figure but as a coverage test. The central thesis is straightforward: revenue feasibility is throughput economics meeting the debt-service demands of the chosen financing structure, and recurring membership revenue, not retail volume, is the true backbone of debt-service coverage. The same revenue line that clears comfortably under one structure can run short under another, and the same project that pencils in a healthy submarket fails in a saturated one.

Three developments reshaped the underwriting context entering 2026. First, the sector moved from a land-grab into a consolidation-and-shakeout phase: a large national operator entered Chapter 11 in February 2025, transaction multiples compressed from the 2021 peak toward roughly eight times earnings, and the lone public pure-play agreed to a take-private. Second, recurring subscription revenue, now the majority of wash sales at scaled operators, became the decisive line in any credible projection. Third, submarket saturation overtook input costs as the leading operator concern, and the cannibalization math turned sharply nonlinear.

For lenders and investors, the verdict is that an express car wash is bankable when it pairs conservative revenue assumptions with a defensible submarket, an experienced operator, and adequate equity, and is unbankable when it leans on aggressive capture rates, a fast ramp, low churn, or a clustered trade area. The financing overlay matters as much as the site: among the three principal programs, the SBA 504 structure typically produces the lowest revenue threshold, SBA 7(a) the greatest flexibility at a higher hurdle, and USDA Business & Industry a viable path only where the site is rural-eligible. The sections that follow build the revenue case from the ground up and translate it into a coverage verdict under each program.

1. Why Revenue Is the Feasibility Crux

The express exterior model is engineered for volume. A vehicle is pulled onto a conveyor, washed in a tunnel of roughly 120 to 150 feet, and dried in a process measured in minutes, with two to four staff per shift rather than the eight to twelve a full-service operation requires. That structural design has two consequences for feasibility. It compresses labor to roughly 15 to 20 percent of revenue against 30 to 40 percent for full-service, which lifts and stabilizes margins; and it makes the business almost entirely a function of throughput, because the fixed cost base is absorbed only when enough vehicles cross the conveyor.

The result is a wide and volume-dependent revenue distribution. A mature, well-located express tunnel typically generates roughly $700,000 to over $2 million in annual revenue, with weak or sub-scale sites running $300,000 to $500,000 and top-quartile sites exceeding $2 million. The publicly disclosed benchmark, the largest national operator, ran at roughly $1.9 to $2.0 million of revenue per location in 2025, surpassing one billion dollars of system revenue for the first time. Because that revenue is delivered by car count multiplied by an average ticket of roughly $12 to $14, a single site doing 50,000 cars looks nothing like one doing 150,000, even though their land, building, and equipment costs are nearly identical.

This is why the feasibility verdict turns on the revenue projection rather than the construction budget. The cost to build an express tunnel ranges from roughly $3.85 million to over $10 million, clustering around $5 to $7 million including land, and those figures can be estimated with reasonable confidence. What cannot be assumed is demand. A lender-grade study therefore spends most of its analytical effort validating the revenue line and stress-testing it against the debt service the project must carry, because that is the only place the deal genuinely lives or dies.

Interactive waterfall: stabilized revenue flowing through operating expense, NOI, debt service, and residual cash flow, with KPI tiles for revenue per site, EBITDA margin, and DSCR

The waterfall above is the spine of the entire analysis. Revenue enters at the left; the operating cost stack and debt service are deducted in sequence; and the residual cash flow, against the debt service, is the coverage ratio that decides bankability. Every subsequent section of this report builds one stage of that waterfall, beginning with the revenue itself.

One point of interpretation should be set at the outset, because it runs through the entire report. At stabilization, a well-located express wash typically shows comfortable coverage, often 1.5 times or better, which can make the asset look low-risk. That comfort is real but it is also the wrong place to look. The binding feasibility test is not the stabilized year; it is the 24 to 36 month ramp, during which revenue climbs from roughly 60 percent of stabilized toward 100 percent while debt service is fixed from the first payment. A project that clears 1.5 times at stabilization can sit near or below 1.0 times coverage in its first year. The worked figures throughout this report are stabilized unless stated otherwise, and the reader should mentally discount them to the ramp to see where the genuine risk lies.

2. The Revenue Build: Volume, Capture, and Throughput

Revenue in an express wash is constructed from three inputs: the traffic and capture that produce car count, the throughput that physically caps it, and the ticket that prices it. Each is a place where optimistic projections overstate the case, and each is scrutinized by experienced lenders.

Traffic and capture rate

The traditional method multiplies average annual daily traffic on the adjacent road by a capture rate, the share of passing vehicles converted into customers. Industry practice places a conservative test capture rate near 0.7 percent of traffic, so a site on a road carrying 39,000 vehicles per day might be modeled at roughly 273 cars per day. The difficulty is that capture rate is a statistically weak predictor. Regression work in the sector has found that traffic counts explain only about six percent of the variance in wash volumes, and empirical capture rates fall as traffic rises, from roughly 1.7 percent at 10,000 vehicles per day to about 0.5 percent at 80,000, because a single site can only process and stack so many cars.

A credible study therefore does not rely on a single capture assumption. It triangulates the capture-rate method with a demand-based model (trade-area population multiplied by wash frequency and professional-wash penetration) and a comparable-based estimate drawn from similar operating sites, and it validates the trade area with drive-time and mobility data rather than a simple radius. The institutional underwriting middle for a ground-up express tunnel without direct competition is roughly 0.5 to 1.0 percent of traffic, and the most common error in sponsor projections is a capture rate well above that band.

Exhibit 2.1  ·  Capture rate declines as traffic rises

Adjacent traffic (AADT)	Indicative capture rate	Implied cars/day	Underwriting note
10,000	~1.7%	~170	Capture high, volume traffic-limited
25,000	~1.0%	~250	Common minimum viable corridor
40,000	~0.8%	~320	Strong express corridor
80,000	~0.5%	~400	Throughput / stacking constrained

Source: MMCG database; retail petroleum and car wash consulting studies. Figures are indicative for a competition-free express tunnel and should be corroborated by demographic and comparable analysis.

Throughput: the physical ceiling on revenue

Tunnel length governs capacity, at a rule of thumb of roughly one car per belt-foot per hour. A short tunnel near 100 feet sustains roughly 100 to 125 cars per hour, while a full express tunnel of 120 to 150 feet sustains roughly 100 to 130 cars per hour in real operating conditions. Belt conveyors load faster than chain-and-roller systems and reduce the loading gaps that separate theoretical from realized throughput. Vendor and record figures of 180 cars per hour or more are peak and marketing numbers; the prudent underwriting figure is roughly 100 to 130 cars per hour sustained for a full-length tunnel, with adequate on-site stacking for 15 to 20 vehicles beyond the pay stations to absorb weekend peaks without spilling onto the street.

Throughput matters for feasibility in a way that is easy to overlook: it is the constraint that caps revenue on exactly the days that drive it. Express volume is heavily concentrated, with weekends and the first dry days after rain producing a disproportionate share of the week's cars. A tunnel sized and staffed for average demand will turn customers away during those peaks, and a wash that cannot clear its queue loses not just the immediate sale but, over time, the membership that recurring revenue depends on. This is why a credible study examines peak-hour capacity and on-site stacking, not just an annual car count. A site projecting 100 or more cars per peak hour needs a full-length tunnel and room to stack 15 to 20 vehicles; a site whose modeled peak is below 60 cars per hour does not, and over-building the tunnel there simply strands capital. Matching tunnel length and stacking to the modeled peak is therefore part of the revenue case, not merely an engineering detail.

Pricing and the average ticket

Retail menus run from a base wash near $10 to $15 up to ceramic and graphene tiers exceeding $30. The average revenue per car has risen from roughly $10 in 2019 toward $12 to $14 by 2024. The critical pricing observation of the current cycle is that the 2025 decline in retail revenue at scaled operators came despite price increases of roughly three percent: it was a volume problem, not a pricing problem. That distinction matters for feasibility because it points the analyst toward the durable revenue line, which is not retail at all, but membership.

3. The Recurring-Revenue Engine

The unlimited monthly membership is the single most important structural feature of the express model and the reason the asset class attracted institutional capital. It converts episodic, weather-sensitive retail demand into recurring, high-margin revenue billed to a card on file. At scaled operators, membership now represents roughly 70 to 80 percent of wash sales; the largest operator reported its wash club at 79 percent of wash sales in the fourth quarter of 2025, up from 75 percent a year earlier, with roughly 2.3 million members. A practical balance of roughly three-quarters membership to one-quarter retail is widely regarded as the healthy mix.

The economic case for membership is decisive, and it is why a credible projection builds the revenue floor on subscriptions rather than walk-in traffic.

Interactive bar comparison: 36-month customer lifetime value of a membership ($444) against a repeat retail customer ($104) and an all-retail average including one-time washers ($64)

Over a 36-month horizon, a typical member generates roughly $444 of revenue against $104 for a repeat retail customer and about $64 once one-time washers are included, a premium exceeding 300 percent. Through 2024 and 2025, member revenue grew at double-digit rates every quarter even as retail revenue declined, confirming the subscription base as the stable engine and the retail line as the volatile, at-risk component. For the analyst, this reframes the revenue projection entirely: the question is not how many cars pass on a busy Saturday, but how large and how durable the recurring membership base will become.

Penetration, conversion, and churn

Three benchmarks govern the membership line. Members per site is the best single proxy for stabilization: a mature site carries a median near 2,875 members, best-in-class sites exceed 5,000, and a base below 2,000 signals weakness. Conversion of retail customers into members scales with the size and visibility of the existing base, from above 15 percent at sites with more than 4,000 members to under 3 percent at sites below 2,000, which creates a chicken-and-egg problem for new locations and explains the importance of grand-opening promotion. Churn averaged roughly 7.6 percent monthly through 2025, composed of voluntary cancellation and involuntary card failures, implying an average member tenure near 14 to 15 months.

There is a further subtlety in membership economics that materially affects profitability and that a careful analyst looks for. The model is most profitable not from its heaviest users but from its lightest. A driver who would otherwise wash once a quarter, converted to a roughly thirty dollar monthly plan, generates several times their prior annual spend while consuming little capacity, and it is this base of light and occasionally dormant members that subsidizes the heavy users who wash several times a month. The implication cuts two ways for feasibility. A healthy membership base carries real pricing power and resilience, because most members are not utilization-sensitive. But the same dynamic is the source of churn risk: when a member stops washing, the monthly charge shifts from feeling like a benefit to feeling like a cost, and cancellation becomes rational. A projection that assumes a large, stable membership base must therefore also assume disciplined billing, card-failure recovery, and retention tooling, because the economics that make membership attractive are the same economics that make it fragile if neglected.

Exhibit 3.1  ·  Membership benchmarks for underwriting

Metric	Weak	Typical / mature	Strong
Members per site	< 2,000	~2,875 (median)	5,000+
Retail-to-member conversion	< 3%	~8–10%	15%+
Monthly churn	9–10%+	~7.5%	< 6%
Membership share of wash sales	< 50%	~70–75%	79%+

Source: MMCG database; car wash subscription and CRM data, 2024–2026. Figures describe stabilized express exterior sites and vary by market and operator.

4. From Revenue to NOI, and the Ramp to Stabilization

Converting revenue to net operating income requires the express cost stack, and converting a new build to a stabilized run-rate requires a realistic ramp. Both are essential to the coverage test, and the ramp is where debt service becomes most dangerous.

The operating cost stack

The express cost structure is dominated by labor and chemicals together, roughly 28 percent of revenue at scale, followed by other store operating costs including occupancy, utilities, repairs and maintenance, insurance, and marketing. Water and sewer is a meaningful line that reclaim systems, which recycle a majority of water and can save roughly $0.75 per car, materially reduce. The combined effect is a structurally high margin: advisory benchmarks place single-site express adjusted cash-flow margins at roughly 45 to 63 percent, rising with volume, while a multi-site platform's consolidated margin is lower because it absorbs corporate overhead and the drag of newly opened, un-ramped sites. The practical lesson for underwriting is to separate four-wall, store-level economics from platform-level results.

Exhibit 4.1  ·  Illustrative express tunnel operating economics at stabilization

Line	% of revenue	Underwriting note
Labor and chemicals	~28%	Largest cost; labor falls as volume ramps
Other store operating costs	~25–33%	Occupancy, utilities, R&M, insurance, marketing
Store-level EBITDA margin	~40–50%+	Higher at >$1.5M revenue sites
Reclaim water saving	~$0.75/car	Also a moat in water-restricted markets

Source: MMCG database; public operator disclosures and franchise disclosure documents, 2025–2026. Illustrative; actual margins depend on volume, market, and rent structure.

The ramp to stabilization

A new express site does not stabilize for roughly 24 to 36 months. Membership builds gradually, reaching perhaps 1,000 members by month twelve, 2,000 by month twenty-four, and a stabilized 2,500 to 3,000 for a typical site, with the first ninety days predicting much of the first-year outcome. Revenue follows the same curve, and a credible projection sets year-one revenue at roughly 60 to 70 percent of stabilized, year two at 80 to 90 percent, and year three at stabilization.

The danger is that debt service does not ramp. It is fixed from the first payment, while revenue and margin are at their thinnest precisely when the loan begins to amortize. A project that assumes rapid stabilization understates this risk; a credible one models the ramp explicitly and confirms that equity and a working-capital reserve can carry debt service through the trough.

Interactive line chart: membership count and revenue as a percentage of stabilized over months 0 to 36, with a fixed debt-service line overlaid to mark the coverage danger window

The chart above makes the danger window visible. The gap between the climbing revenue curve and the flat debt-service line in the first 18 to 24 months is the period in which a thinly capitalized project fails, and it is the single most common reason an otherwise sound concept becomes distressed. Sizing the equity and reserve to bridge that gap is as important to feasibility as the stabilized projection itself.

5. The Financing Overlay: 7(a), 504, and USDA

The financing structure sets the revenue threshold. Annual debt service is a function of loan amount, which is driven by the required equity; interest rate; and amortization term, and the minimum net operating income is that debt service multiplied by the required coverage ratio. Among the three principal programs, each capitalizes an express car wash differently, and one parameter dominates all of them: the car wash is a special-purpose property, which raises the equity a borrower must inject and pushes lenders toward higher coverage.

SBA 7(a)

The 7(a) program is the most flexible single instrument, wrapping real estate, construction, equipment, working capital, and goodwill into one note capped at five million dollars, with a real estate term up to 25 years. It is variable-rate, priced at a spread over a base rate, which exposes the deal to higher and more volatile debt service than a fixed structure. Because a car wash is special-purpose, lenders typically require 10 to 20 percent equity, with first-time builders at the upper end. Its flexibility and speed are real advantages; its higher and floating rate is the cost.

SBA 504

The 504 program finances owner-occupied real estate and long-lived equipment through a structure of roughly half a conventional bank first lien, a fixed-rate CDC debenture, and borrower equity. For a special-purpose property the borrower equity rises to 15 percent, and to 20 percent for a special-purpose startup. The debenture is fixed for up to 25 years near six percent, and the blended cost of the bank lien and debenture typically lands below the 7(a) rate, which is the central reason the 504 produces the lowest revenue threshold for a ground-up build. Its one structural friction for express washes is the job-creation test; because a tunnel employs few people, projects generally qualify through the alternative public-policy goals, most commonly the energy-reduction objective satisfied by water reclaim and high-efficiency blowers.

USDA Business & Industry and REAP

The USDA Business & Industry program offers larger loans, longer terms, and no owner-occupancy or size constraints, but it is available only where the site is rural-eligible, generally areas under 50,000 population and outside an urbanized area. This is the program's defining tension for express washes, which depend on high-traffic corridors that are usually the urbanized geography the program excludes. Where a corridor site can qualify, through a rural designation or a corridor exception, B&I's long amortization can lower annual debt service. The Rural Energy for America Program can further reduce a rural wash's energy capital cost through solar and efficiency improvements, though grant availability was in flux through 2026 and should be treated as upside rather than a base-case assumption.

Interactive grouped comparison of an illustrative $6M express project under SBA 7(a), SBA 504, and USDA B&I: borrower equity, blended interest rate, annual debt service, and the net operating income required to clear a 1.25x coverage ratio

The comparison above illustrates the point on a single $6 million project, with one important caveat: the three structures are not strictly like-for-like at this size. The 504 and B&I structures fund the full project, while the 7(a) loan is capped at five million dollars, so the 7(a) case implicitly requires either additional equity or a second financing piece to close the gap, on top of carrying the highest rate. With that caveat noted, the ranking is clear. The 504 structure clears at the lowest required net operating income because its fixed debenture holds down the blended rate; the 7(a) structure carries the highest revenue hurdle; and the B&I structure is competitive primarily through term length where rural eligibility exists. In every case, special-purpose treatment raises the equity and the coverage demanded, and therefore the revenue the wash must generate to be bankable. And in every case the required figures shown are stabilized, so a prudent file confirms the project can also service debt through the ramp, when coverage is at its thinnest.

Exhibit 5.1  ·  Illustrative financing comparison, $6.0M express project (June 2026 assumptions)

Parameter	SBA 7(a)	SBA 504	USDA B&I
Borrower equity	~15%	15% (20% startup)	~20% (new business)
Indicative blended rate	~9.5%	~7.0–8.0%	~9.0%
Real estate amortization	Up to 25 yrs	Up to 25 yrs	Up to 30–40 yrs
Approx. annual debt service	~$524k (at cap)	~$425k	~$464k
NOI required at 1.25x	~$655k	~$531k	~$580k

Source: MMCG database; SBA SOP 50 10 8 and program fee notices, CDC debenture pricing, and USDA Rural Development program parameters, current to June 2026. Illustrative framework using standard assumptions, not a financing quote; actual terms vary by lender, pricing at funding, and amortization elected.

6. The Feasibility Verdict: Saturation, Sensitivity, and Risk

A lender-grade feasibility study ends in a coverage verdict, and three analyses drive it: a triangulated revenue projection, a sensitivity test proving the deal survives a downside, and a saturation analysis conducted at the submarket rather than the metropolitan level. The dominant failure mode entering 2026 is oversaturation meeting overleverage, and it is now measurable.

Sensitivity and the coverage cushion

Car wash projections are most sensitive to capture rate and car count, membership penetration and conversion, churn, average ticket, ramp speed, and the operating-expense ratio. A credible study runs a base, an upside, and a stressed downside case, and computes the coverage ratio in each. Lenders commonly require a stabilized coverage ratio of roughly 1.25 to 1.35 times for this single-purpose, discretionary-spend asset, and the prudent test is whether the downside case, with revenue reduced, churn raised, and the ramp extended, still clears the program floor with liquidity to carry debt service through month twenty-four. The variables a sponsor most often overstates are precisely the ones a stress test most punishes: aggressive capture, fast ramp, low churn, and high membership penetration.

Saturation and cannibalization

Saturation is best measured at the submarket level, because a metropolitan area that looks unsaturated can contain a one-mile ring that is badly overbuilt. The cannibalization math is nonlinear in a way that is decisive for site selection: the first new competitor within a mile barely moves an incumbent's volume, but the third is a cliff, with documented losses near a third of activity. The ramp sweet spot for a new build is a submarket with roughly three to ten moderate-quality competitors; both empty markets, where demand is often low for a reason, and saturated markets ramp slowly. Cannibalization is also materially steeper in the Northeast and West than in the Midwest and South, and rural markets are the most fragile.

Interactive curve: incumbent volume loss as a function of the number of new competitors within one mile, illustrating the nonlinear cliff at the third entrant and the regional severity multiplier

The curve above is the closing risk picture and the reason a feasibility study must analyze the specific competitive ring rather than a metropolitan average. A site that would be the third or later tunnel within a mile carries a materially elevated risk that no amount of operating skill fully offsets, and destructive pricing, the appearance of three, five, and seven dollar washes in a market, is the clearest signal that capacity has outrun demand. The municipal-moratorium wave spreading across several states is the public manifestation of the same overbuilding.

Failure modes and what the distress data shows

Express car wash projects fail for a recognizable set of reasons: traffic and volume overestimation, oversaturation and cannibalization, churn higher than modeled, a ramp slower than assumed, poor site selection such as a left-turn-only access or weak visibility, over-leverage at a high cost of debt, construction-cost overruns, and a thin or inexperienced operator. The 2025 Chapter 11 of a major operator illustrates the compounding of several of these at once: aggressive debt-funded expansion into increasingly saturated markets, with interest expense climbing as rates rose until a maturing term loan and roughly one million dollars of cash forced a restructuring that wiped out unsecured creditors and equity. As a single-purpose, discretionary-spend property, the car wash sits at the higher-risk end of the small-business lending spectrum, and lenders price that with higher coverage and equity requirements. The mitigants are the mirror image of the failure modes, and a credible study documents each one rather than asserting that none apply.

The bankability test

Pulling the threads together, an express car wash is bankable when it combines a strong site with defensible traffic and access, conservative capture and ramp assumptions, a realistic and durable membership base, an experienced operator, adequate equity, and a submarket with a moderate competitive set and no recent cluster of new openings within a mile. It is unbankable, or financeable only on substantially tighter terms, when it relies on an aggressive capture rate, a fast ramp, low churn, a no-competition greenfield, or a clustered submarket, or when it is over-leveraged into a saturated corridor. The revenue projection is the heart of the study, but it earns credibility only when it survives the coverage test under the chosen capital structure and the saturation test in its specific trade area.

7. Conclusion

Express car wash revenue and project feasibility are the same question viewed from two angles. The revenue line is built from throughput and recurring membership; the feasibility verdict is whether that line clears the debt service implied by the capital structure, through a ramp that takes two to three years and in a submarket that may already be crowded. In a market that has moved from expansion into consolidation, the projects that remain bankable are those underwritten conservatively, financed in the structure that produces the lowest revenue threshold the deal can support, and sited where demand genuinely exceeds installed capacity.

MMCG Invest prepares lender-calibrated feasibility studies for express car wash and broader commercial real estate projects across SBA 7(a), SBA 504, USDA B&I, USDA REAP, and conventional loan programs, with triangulated revenue modeling, stabilized projections, coverage analysis, and third-party validation built for the way lenders read a file.

June 4, 2026, by Michal Mohelsky, J.D. Principal of MMCG Invest, LLC, feasibility study company.

Reach out to discuss how our methodology supports your lending or development decision.

Michal Mohelsky, J.D. | Principal | mmcginvest.com 

Contact: michal@mmcginvest.com

Phone: (628) 225-1125

Disclaimer: This report is provided for informational purposes only and does not constitute investment advice. Data presented herein is derived from proprietary MMCG databases and third-party sources believed to be reliable; however, MMCG Invest makes no representation as to the accuracy or completeness of such information. Figures from third-party industry databases have been independently verified and, where appropriate, adjusted to reflect MMCG's proprietary analytical methodology. Past performance is not indicative of future results.

Sources

1. U.S. Small Business Administration. Standard Operating Procedure SOP 50 10 8 (lender and development company loan programs)https://www.sba.gov  Eff. June 1, 2025.

2. U.S. Small Business Administration. 7(a) Loan Program: Terms, Conditions, and Eligibility https://www.sba.gov/partners/lenders/7a-loan-program/terms-conditions-eligibility  2026.

3. U.S. Small Business Administration. Information Notice: 7(a) Fees for FY2026 https://www.sba.gov  Aug. 28, 2025.

4. Federal Register / SBA. 504 and 7(a) job-creation and size thresholds (90 FR 47117) https://www.federalregister.gov  Eff. Oct. 1, 2025.

5. SomerCor (Certified Development Company). SBA 504 Debenture Interest Rates https://somercor.com/sba-504-rates/  May 2026.

6. U.S. Dept. of Agriculture, Rural Development. Business & Industry (B&I) Guaranteed Loan Program https://www.rd.usda.gov/programs-services/business-programs/business-and-industry-guaranteed-loan  2026.

7. Federal Register / USDA. OneRD Annual Notice of Guarantee Fee Rates for FY2026 (91 FR 11272) https://www.federalregister.gov  Mar. 9, 2026.

8. U.S. Dept. of Agriculture, Rural Development. Rural Energy for America Program (REAP) and FY2026 NOFO status https://www.rd.usda.gov  Apr. 2026.

9. International Carwash Association. Carwash Industry Information and Consumer Studies https://www.carwash.org/industry-information  2020–2026.

10. International Carwash Association. CAR WASH Pulse, Q4 2025 and Q1 2026 https://www.carwash.org  Mar. 18, 2026.

11. Rinsed. Quarterly Car Wash Industry Reports (Q1 2025 – Q1 2026) https://www.rinsed.com/news  2025–2026.

12. Mister Car Wash, Inc. (NASDAQ: MCW). Fourth Quarter and Full Year 2025 Results https://ir.mistercarwash.com  Feb. 18, 2026.

13. Mister Car Wash, Inc.. To Be Taken Private by Leonard Green & Partners for $7.00 per Share https://www.globenewswire.com  Feb. 18, 2026.

14. U.S. Securities and Exchange Commission. Mister Car Wash, Inc. Form 10-K and Form 8-K (FY2025) https://www.sec.gov  2026.

15. Car Wash Advisory. Car Wash Loan FAQ; Valuations; Cost-to-Build; Profit Margins https://www.carwashadvisory.com  2024–2026.

16. Car Wash Advisory. 2024 Car Wash Mergers & Acquisitions Report https://www.carwashadvisory.com/learning/mergers-and-acquisitions-report-car-wash-industry-2024  2024.

17. WashIndex / Sparkle Technologies. Car Wash Cannibalization Research (5.9M reviews; 6,559 new openings) https://washindex.com/research/car-wash-cannibalization-research  May 2026.

18. Northmarq. Bonus Round for the Car Wash Sector: Bonus Depreciation and Interest Rates https://www.northmarq.com  2025.

19. B+E Net Lease. NNN Car Wash Listed Inventory Report and 2025 Cap Rate Data https://tradenetlease.com  Jan. 2026.

20. Raymond James Investment Banking. Car Wash Insight, Spring 2026 https://www.raymondjames.com  Spring 2026.

21. Kroll Restructuring Administration / CreditSights. Zips Car Wash, LLC Chapter 11 (N.D. Tex., Case No. 25-80069)https://cases.ra.kroll.com/Zipscarwash/  Feb.–Apr. 2025.

22. Driven Brands Holdings (NASDAQ: DRVN). Sale of Take 5 Car Wash (U.S.) to Express Wash Operations (Whistle Express) https://www.carwash.com Feb.–Apr. 2025.

23. Auto Laundry News. Exterior Conveyor Survey; Capture Rate and Feasibility Methodology https://www.carwashmag.com  2023–2025.

24. Professional Carwashing & Detailing / Carwash.com. State of the Carwash Market; throughput and market analysis https://www.carwash.com  2024–2026.

25. Tommy's Express Car Wash. Franchise Disclosure Document (Item 19) and franchise cost analysis https://www.franchisechatter.com  2025–2026.