Investment Intelligence

Built to Maximize Value.

Matthews™ develops custom investment analyses for express wash operators using your operating performance, local market insights, state-specific benchmarks, and institutional underwriting methodologies. Every model is built from your actual P&L data — not a generic template applied to your address.

The result is an investment-grade analysis that strengthens buyer confidence, highlights value-creation opportunities, and maximizes enterprise value ahead of a sale. Sellers enter the market knowing exactly what their numbers say — and how a buyer will read them.

Core Objectives

Market Insights

Understand how your business performs within its local market.

Proprietary benchmarking using comparable operators, pricing trends, traffic patterns, demographics, operating expenses, customer capture rates, and regional performance metrics.

Investment-Grade Analysis

Present your business the way institutional buyers underwrite acquisitions.

Custom financial exhibits, operational analyses, and underwriting packages built for valuation discussions, lender review, investment committees, and buyer due diligence.

Enterprise Value Creation

Identify opportunities before going to market.

Quantify pricing opportunities, operational improvements, revenue growth initiatives, and strategic recommendations that strengthen the investment thesis.

Interior of a modern express car wash tunnel
Approach

Every seller’s situation tells a different story.

We don’t run the same model for every deal. We assess where a site sits in its lifecycle — ramping, stabilized, impacted, or mature — and select the combination of tools that tells that story credibly to an underwriter.

These models serve two purposes: helping owners see their potential as a seller, and becoming the buyer-facing package used to close the deal.

It starts with a conversation — we’ll look at your numbers and show you what they could say.

01

Situation-First Underwriting

We match the right model to your story. A brand-new site, a road-impacted location, and a mature operator all need completely different analyses.

02

State-Level Benchmarks, Any Market

Expense, seasonality, and car-count data built from real P&L files across markets we actively work, expandable to any US state.

03

Built for Both Sides of the Deal

These models help sellers understand what their site is worth, and become the buyer-facing package used to get the deal sold.

Our Platform

Investment Intelligence

  • Financial Underwriting
  • Revenue Modeling
  • Expense Benchmarking

Buyer Intelligence

  • Pricing Analysis
  • Market Positioning
  • Buyer Case Study

Value Creation

  • Operational Improvements
  • Five-Year Outlook
  • Enterprise Value
Sample Metrics

What an investment-grade package looks like.

A representative selection of the exhibits delivered in a Matthews™ analysis — revenue modeling, pricing position, traffic conversion, long-range outlook, and customer mix.

All figures shown are illustrative examples and do not reflect verified operator data.

Revenue Projection

Exhibit 01

10.0%

Highest Month

6.8%

Lowest Month

53.0%

Peak Season — % of Annual Revenue

37.8%

Peak 4-Month Span

Monthly revenue — actual vs. forecast ($000s)

Conservative

$2.28M

Projected Revenue

$0.94M

EBITDA

Base Case

$2.48M

Projected Revenue

$1.09M

EBITDA

Optimistic

$2.71M

Projected Revenue

$1.24M

EBITDA

Reach

$2.96M

Projected Revenue

$1.41M

EBITDA

Pricing Opportunity Matrix

Exhibit 02

12

Competitors Surveyed

3-Mile

Market Coverage

$34

Median Unlimited Membership

+$5

Pricing Gap

+$126K

Est. Revenue Opportunity

OperatorBasicDeluxePremiumUnlimitedDistancePositioning
Subject Site$9$14$19$29Value
Shine Express$10$16$22$340.8 miMarket
Blue Wave Wash$12$18$25$391.4 miPremium
Rapid Auto Spa$10$15$21$332.1 miMarket
Summit Car Care$11$17$24$362.7 miPremium

Investment Takeaways

  • The subject site prices $5 below the 3-mile median unlimited membership with no measurable service deficit — the discount is unearned.
  • A staged $3 then $2 increase over two quarters models to +$126K annual revenue at a 4% assumed churn impact.
  • Premium-tier attach rate trails the market by 6 points, indicating menu design rather than demand is the constraint.

Traffic Conversion Analysis

Exhibit 03

24,800

Daily Vehicles (VPD)

3.6%

Capture Rate

26,700

Monthly Captured Vehicles

$9.40

Revenue per Customer

Capture rate trend — trailing 12 months (%)

ScenarioCapture RateMonthly VehiclesAnnual RevenueEnterprise Value
Current3.6%26,700$2.48M$8.7M
+25 bps3.85%28,600$2.63M$9.4M
+50 bps4.10%30,400$2.79M$10.1M
+100 bps4.60%34,100$3.09M$11.5M

Five-Year Revenue & EBITDA Outlook

Exhibit 04

Projected revenue by scenario ($M)

Worst caseBase caseBest case
MetricYr 1Yr 2Yr 3Yr 4Yr 55-Yr CAGR
Revenue$2.48M$2.62M$2.77M$2.93M$3.10M5.7%
EBITDA$1.09M$1.18M$1.27M$1.37M$1.47M7.8%
EBITDA Margin44.0%45.0%45.8%46.6%47.4%

Membership & Customer Mix

Exhibit 05

1,940

Active Members

58%

Membership Penetration

$31.20

Avg Revenue / Member

2.7

Avg Monthly Visits

Revenue mix by category

  • Unlimited Memberships58%
  • Retail Washes29%
  • Add-Ons & Detail9%
  • Vending & Other4%

Subject vs. market median

BenchmarkSubjectMarket MedianVariance
Membership penetration58%51%+7 pts
Avg revenue / member$31.20$33.80-$2.60
Monthly visits / member2.72.4+0.3
Member churn5.1%6.0%-0.9 pts
Methodology

Assumptions & underwriting inputs.

Every exhibit traces back to a documented input. Buyers and lenders can follow the logic from raw operating data to enterprise value.

4

Input Categories

60+

Variables Reviewed

9

Data Sources

3-Tier

Confidence Framework

Financial Inputs

  • Trailing 12 P&L
  • Revenue by channel
  • Labor & payroll load
  • Chemical cost per car
  • Owner add-backs

Operating Inputs

  • Car counts by month
  • Membership churn
  • Retail vs. member mix
  • Throughput per hour
  • Staffing model

Market Inputs

  • Competitor pricing
  • 3-mile demographics
  • Traffic counts (VPD)
  • Household income
  • Planned development

Site & Real Estate Inputs

  • Land & building basis
  • Lease or fee structure
  • Tunnel length & equipment
  • Vacuum stall count
  • Access & visibility
  1. 01

    Underwriting Inputs

  2. 02

    Revenue Projection

  3. 03

    Expense Benchmarking

  4. 04

    Pricing Analysis

  5. 05

    Value Creation

  6. 06

    Buyer Positioning

For more information,
please contact a Matthews™ specialized agent.

Simon Assaf, Senior Vice President & Director at Matthews

Simon Assaf

Senior Vice President & Director

(949) 873-0275simon.assaf@matthews.com

License No. BR663663000 (AZ)

Jordan Beletz, Sales Analyst at Matthews

Jordan Beletz

Sales Analyst

(520) 308-6079jordan.beletz@matthews.com

License No. SA720140000 (AZ)

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