Dry Cleaning Pro Forma

Consumer Excel Template (Free Download)

Project store growth, utilisation, service mix, route revenue, operating margins, cash generation, and value for a dry-cleaning group.

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Edit in Excel
Created by ex-finance
professionals from Deloitte
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Used by professionals from

About this pro forma

The full Excel engine rolls stores forward, ramps utilisation into total orders, and splits tickets across garment cleaning, shirts, wash-and-fold, alterations, and specialty services. Pickup-and-delivery memberships and retail attach add revenue, while production labour, counter staff, utilities, occupancy, and overhead complete the operating forecast.

The pro forma bridges EBITDA through NOPAT, depreciation, maintenance capex, store build-out, and light working capital to projected unlevered cash flow and DCF value. Operators, roll-up teams, lenders, and investors can assess store economics and route expansion.

What every model includes

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

What's inside the Dry Cleaning Pro Forma

  • Store count, utilisation, orders, and revenue-per-store forecast
  • Five-tier service mix, pricing, and margin outputs
  • Pickup-and-delivery membership and retail attach revenue
  • Production, counter, delivery, utilities, and overhead costs
  • Maintenance and new-store build-out capex schedule
  • Unlevered cash flow, DCF value, and EV/EBITDA
  • Roll-up, labour, route, and pricing sensitivities
income_statement.xlsx
Income statement, brown brand palette
income_statement.xlsx
Income statement, green brand palette
income_statement.xlsx
Income statement, red brand palette

Formatted to IB standards

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with clear input, output, and cross-sheet reference styling - brand-ready, institutional-grade, and fully auditable.

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

Having a template library on hand cuts a first build from hours to minutes.

Need help finding your model? You’ll find me in the Finamodel app!

Frequently asked

How is dry-cleaning revenue projected?+

Stores and utilisation generate orders, which are priced through the five-tier service mix and supplemented by route and retail revenue.

What drives EBITDA?+

Labour productivity, utilities, occupancy, marketing, and corporate overhead matter more than inexpensive garment consumables.

Is new-store capex included?+

Yes. Maintenance capex and build-out capex for new stores flow through the unlevered cash-flow bridge.

Who uses this pro forma?+

Dry-cleaning operators, consolidators, lenders, and investors use it for store rollout and valuation decisions.

Have more financial modelling questions? Contact us

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