Car wash loan underwriting
The credit-side companion to the car wash underwriting guide: program terms, what 12,972 loan-level SBA records since 1991 say about how car-wash credit performs, DSCR sizing on the right EBITDA, and what actually protects a lender when the collateral is a special-purpose building.
Five channels fund the industry
| Channel | Size | Typical use | Underwriting notes |
|---|---|---|---|
| SBA 7(a) | Up to $5M | Owner-operators buying or building; goodwill-heavy acquisitions; ~10% down common | 1.15x DSCR floor; personal guarantees; 25-year terms on real estate |
| SBA 504 | Larger via bank+CDC split | Real-estate- and equipment-heavy projects; fixed-rate debenture on the CDC piece | Job-creation or public-policy goals; owner-occupied real estate |
| Conventional CRE | Bank appetite | Stabilized, cash-flowing washes with strong sponsors | 1.20–1.35x DSCR typical; more collateral scrutiny on special-purpose assets |
| Equipment finance | $100K–$1.5M | Tunnel equipment, IBA units, vacuum systems | Priced to equipment life; often layered with other debt |
| Sponsor/fund debt | Chain-level | PE platform acquisitions and development lines | Underwritten at the platform, not the site |
In the modern SBA record, the program split runs 4,227 7(a) loans to 1,580 504 loans — the 504 share is outsized versus most service industries because car washes are real-estate- and equipment-heavy projects.
12,972 loans, $10.09B, two very different eras
The SBA's 7(a) and 504 FOIA datasets provide the only loan-level public record of car-wash credit performance (NAICS 811192). The headline: modern-era car-wash lending has performed dramatically better than the pre-2010 book.
| Era | Loans | Approved | Median loan | Charge-off rate* |
|---|---|---|---|---|
| Pre-2010 (1991-2009) | 7,165 | $3.26B | $332,000 | 13.7% |
| Modern (2010-present) | 5,807 | $6.83B | $774,800 | 4.4% |
- Loans got much bigger. The median approval rose from $332,000 pre-2010 to $774,800 in the modern era — the express-tunnel capital model showing up in the credit data.
- Most lending funds growth, not changes of control. 47% of modern loans funded expansion and improvement and 33% funded new builds (median $1.2M); only 8% funded acquisitions.
- A large startup share. About 39% of modern-era borrowers were new businesses — first-time operators are a structural feature of this asset class, which is exactly why market and site fundamentals belong in the file.
*Charged-off share of resolved loans; many modern-era loans remain outstanding, so the modern figure will drift up as cohorts season. Data as of 2026-03-31. Full breakdowns — by metro, program, year, and franchise — in the Car Wash Lending Tracker.
Coverage is only as honest as its numerator
The SBA floor is 1.15x; conventional appetite for special-purpose property typically wants 1.20–1.35x. The failure mode isn't the ratio — it's computing it on the seller's claimed EBITDA, which commonly runs 15–30% above the sustainable, maintenance-capex-adjusted number:
- Underwritten correctly: $310K capex-adjusted EBITDA ÷ 1.25 = $248K of debt service — about $2.3M of debt at a 10% note on 25-year amortization.
- On the claimed number: $450K ÷ 1.25 = $360K of service — about $3.3M. Same wash, ~$1M of phantom debt capacity created by the EBITDA definition alone.
The three-EBITDA bridge — strike unverified add-backs, restate rent and management labor, restate maintenance, then subtract annualized equipment replacement — is worked line by line in section 04 of the underwriting guide. For projections on new builds, sanity-check the borrower's pro forma against the site selection benchmarks — a projection that requires beating every band at once is a projection, not a plan.
The collateral is a special-purpose building; the recovery is the location
A tunnel building has one economic use. On default, recovery depends on what a replacement operator would pay to run a wash on that parcel — which means the durable collateral value lives in exactly the factors a buyer's scorecard weights at 40 points: Market Quality (trade-area income, rooftops, saturation trend) and Site Quality (parcel-level AADT, access, visibility, stacking).
Two loans with identical DSCRs can carry very different tail risk: a wash covering 1.25x in a trade area at 0.4 tunnels per 10,000 households re-tenants if the operator fails; the same coverage in a market at 1.5+ tunnels per 10K — with two more sites permitted up the road — may be worth little more than land value at recovery. Supply pipeline belongs in the credit memo, not just the appraisal.
National saturation context, market by market: the Car Wash Market Saturation Index.
Five questions that catch most bad car-wash credit
- Is the coverage computed on maintenance-capex-adjusted EBITDA? If the memo doesn't show the bridge from the seller's number, the DSCR is unverified.
- What is the trade area's saturation — today and permitted? Tunnels per 10,000 households, plus the construction pipeline. New supply next door is the most common exogenous shock to coverage.
- How durable is the membership revenue? Monthly churn and cohort data, not the member count. A promo-pumped roll can lose a quarter of its revenue in the first year of the loan.
- What does independent operating data say about this operator? Review-derived quality scores, damage-complaint patterns, and the 24-month trend are the operating signal the borrower can't dress up.
- What are the water/sewer and environmental exposures? Municipal rate changes hit margin directly; Phase I, reclaim compliance, and separator condition are the standard checklist.
The full 44-item verification list, organized by factor: the due-diligence checklist.
Independent data belongs in the file
Everything above that doesn't come from the borrower — trade-area demographics, saturation and supply pipeline, competitor quality, parcel-level traffic, and review-derived operating scores — is measured on the WashIndex platform for every wash in the US and Canada. Lenders use it the way buyers do: as the half of the file that doesn't depend on the person asking for the money.
Car wash lending questions, answered
What DSCR is required for a car wash loan?
The SBA's floor for 7(a) loans is 1.15x debt-service coverage; most conventional lenders want 1.20–1.35x for a special-purpose property like a car wash. The ratio should be computed on maintenance-capex-adjusted EBITDA — coverage computed on the seller's claimed EBITDA routinely overstates supportable debt by 30% or more, because claimed EBITDA commonly runs 15–30% above the sustainable number.
What is the default rate on SBA car wash loans?
In the SBA's loan-level FOIA data for NAICS 811192 (car washes), 13.7% of resolved pre-2010 loans were charged off, versus about 4.4% for the 2010-and-later era — with the caveat that many modern-era loans are still outstanding and unresolved. Across the full record since 1991, roughly 10.5% of resolved loans charged off.
Do SBA loans cover car wash acquisitions?
Yes. SBA 7(a) proceeds can fund business acquisitions including goodwill, up to the $5M program cap, and 504 can fund the owner-occupied real-estate and equipment portions. In the modern-era data, 8% of SBA car-wash loans funded acquisitions (median $1.3M) versus 33% for new builds (median $1.2M) — most SBA car-wash lending funds expansion and construction rather than changes of control.
What loan terms are typical for car wash financing?
SBA 7(a): up to 25-year terms on real-estate-heavy deals, variable pricing off prime, ~10% equity injections common, personal guarantees standard. SBA 504: a bank first at conventional terms plus a fixed-rate CDC debenture. Conventional: 15–25 year amortizations, often with 5–10 year balloons, and tighter advance rates reflecting the special-purpose collateral.
How should lenders value car wash collateral?
As special-purpose real estate whose value depends on the next operator's economics, not the current borrower's P&L. The durable collateral value lives in the trade area and the parcel — demographics, traffic, saturation, and site geometry — because those are what a replacement operator would underwrite. A wash that fails in an oversaturated trade area is a hard re-lease; the same building on an advantaged parcel in an expandable market re-tenants quickly.
The borrower brings the P&L.
The market data shouldn't.
WashIndex gives lending teams the independent half of the credit file — demographics, traffic, saturation, supply pipeline, and operating quality — at per-location resolution.
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