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Car Wash Roll-Up ModelFree Financial Model Download

A 5-year express car-wash roll-up that scales from 10 sites to 40+ on membership-led unit economics - per-site membership, retail-wash, and ancillary revenue, platform EBITDA after corporate overhead, an initial-platform-plus-acquisitions capital schedule with PIK debt, and a sponsor equity IRR / MOIC on a five-year exit.

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About this model

A car-wash roll-up model captures the five-year arc of an express car-wash platform - the PE thesis of acquiring single-site express tunnels at a low single-digit EBITDA multiple, converting pay-per-wash customers to unlimited monthly membership plans, running them through a shared platform (Mister Car Wash, Driven Brands, ZIPS, Whistle Express, GO Car Wash), and exiting at a premium multiple. The workbook runs across eight sheets - Cover, Assumptions, Site_Count, Revenue, P&L, Capital, Returns, Dashboard - plus the shared Disclaimer. Every input is a named-range cell and every formula is one or two operations long.

The Site_Count sheet builds the panel roll-forward: opening sites carry from prior closing, acquired sites from the per-year input, closed sites from a small attrition rate, and closing sites fall out as opening + acquired - closed. Average site count drives the per-site revenue and cost lines so a mid-year acquisition is not double-counted. The Revenue sheet runs three streams off the average site count: membership (members x plan price x 12 x sites), retail wash (washes per day x operating days x ticket x sites), and ancillary (a percent of wash revenue for vacuums and vending), each growing at the per-site growth rate.

The P&L sheet is the cost stack diligence cares about: site labour, utilities, land lease, and repairs & maintenance are per-site costs scaled by average sites; chemicals & water and marketing are percent-of-revenue lines; corporate overhead is a base plus per-site add-on. EBITDA, D&A, EBIT, tax on positive EBIT, and net income flow out with margins and a P&L identity check. The Capital sheet buys the starting platform at Year 0 and then deploys annual acquisitions at trailing EBITDA x purchase multiple, splitting each into sponsor equity and acquisition debt that accrues PIK interest into a cumulative balance.

The Returns sheet runs the sponsor's IRR stream - a Year 0 platform-equity outflow, per-year acquisition-equity outflows, and a Year 5 exit inflow equal to enterprise value (Y5 EBITDA x exit multiple) less cumulative debt - and reports sponsor IRR, MOIC, blended entry multiple, and the entry-vs-exit multiple arbitrage that is the headline value driver. The Dashboard collapses Y5 revenue, EBITDA, EBITDA margin, site count, IRR, MOIC, exit enterprise value, and a revenue mix by stream, with traffic-light status flags against user-set thresholds. The defaults reflect a realistic mid-size roll-up (10 starting sites, ~6 acquisitions per year, ~$1.0M revenue per site, mid-30s mature EBITDA margin, 8.0x entry multiple, 11.5x exit multiple) producing ~27% sponsor IRR and ~2.0x MOIC - flex the inputs to model a specific target portfolio.

income_statement.xlsx
Income statement, brown brand palette
income_statement.xlsx
Income statement, green brand palette
income_statement.xlsx
Income statement, red brand palette

Recolor to your brand.
Formatted to IB standards.

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with blue inputs, black formulas, and green cross-sheet links.

  • Brand-ready
  • Institutional grade
  • Fully auditable

What's included

  • Site-count roll-forward (opening + acquired - closed) with average sites driving revenue and cost
  • Per-site revenue by stream: membership, retail wash, and ancillary, with annual growth
  • P&L to platform EBITDA after site labour, chemicals, utilities, lease, R&M, marketing, and corporate overhead
  • Capital sheet: initial platform purchase plus annual acquisitions at trailing-EBITDA multiples with PIK debt
  • Returns with sponsor IRR, MOIC, blended entry multiple, and exit multiple arbitrage
  • Dashboard with Y5 headline metrics, revenue mix, and traffic-light status against thresholds

Built for platform underwriting

The roll-up question is not one site forecast but whether buying sites at a low entry multiple and exiting a scaled platform at a premium clears the equity hurdle. This model makes that arbitrage explicit.

Designed around membership economics

Express car-wash value is driven by unlimited monthly membership penetration, which smooths weather seasonality and lifts per-site EBITDA. Members per site and plan price are first-class inputs.

Audit-friendly mechanics

Every input is a named range, every formula is one or two operations, and the workbook passes static-value, self-reference, dead-assumption, and unused-named-range scans.

Frequently asked

What is a car-wash roll-up model?+

It is a model that captures the economics of acquiring multiple express car-wash sites, converting customers to monthly memberships, running them through a shared platform, and exiting the scaled portfolio at a premium EBITDA multiple.

How is car-wash revenue built?+

Per site, membership = members x monthly plan price x 12, retail wash = washes per day x operating days x ticket, and ancillary is a percent of wash revenue. Each scales by average site count and a per-site growth rate.

Why buy the starting platform at Year 0?+

Without an initial platform purchase the starting sites would contribute to the exit value for free and overstate returns. The model buys them at Year 0 so they carry real equity and opening debt.

What entry and exit multiples are realistic?+

Single express car-wash sites typically trade around 7-9x EBITDA; scaled platforms exit nearer 11-15x. The defaults use 8.0x entry and 11.5x exit, a 3.5x multiple arbitrage.

How is the sponsor IRR calculated?+

The Returns sheet builds an equity cashflow stream - a Year-0 platform-equity outflow, per-year acquisition-equity outflows, and a Year-5 inflow equal to exit enterprise value less cumulative debt - and IRR and MOIC fall out.

Alex Tapio, founder of Finamodel and ex-Deloitte financial modelling expert

Alex Tapio

Founder of Finamodel • Professional Financial Modeller • Ex-Deloitte