How to Price a Commercial Building Wash

The first mistake operators make when they move into commercial work is taking their residential per-square-foot rate and applying it to a commercial building. It does not work that way. Commercial buildings have different access requirements (lifts, scaffolding, boom trucks), different surface conditions (exhaust staining, industrial grime, graffiti), different scheduling constraints (after-hours work, weekend-only access, tenant notification requirements), and different customer expectations (property managers want proposals, not text estimates). Your per-square-foot rate on a commercial building will typically be lower than residential because the jobs are larger, but your total job value and daily revenue are higher. A 50,000 square foot office building at $0.08–$0.12/sqft is a $4,000–$6,000 job. You are not going to get $0.25/sqft on a commercial building, but you do not need to. The volume makes up for the lower rate, and the recurring nature of commercial contracts — quarterly, semi-annual, or annual — means predictable revenue.

Every commercial building wash estimate comes down to four variables: surface area, surface type and condition, access and height, and frequency. Surface area is straightforward but harder to calculate than residential. You are measuring exterior wall area, not living space square footage. A 3-story office building with a 10,000 sqft footprint might have 25,000–30,000 sqft of exterior wall area depending on the height and shape. Property data pulls give you the footprint and story count; you multiply from there. Surface type and condition matter even more than residential. EIFS (synthetic stucco) is common on commercial buildings and requires specific chemical approaches. Tilt-up concrete panels are another common surface. Brick, metal panels, and curtain wall glass each have different rates. Condition modifiers apply on top — light soiling (annual maintenance wash) versus heavy soiling (first-time wash or years of neglect) can be a 1.5x to 2x difference. Access and height drive your equipment and labor costs. A single-story retail strip center you can wash from the ground is fundamentally different from a four-story office building that requires a boom lift. Your estimate needs to account for lift rental ($250–$500/day), the time to set up and move the lift, and the reduced speed of working from height. Frequency is your negotiation lever. A one-time wash prices at your full rate. A quarterly contract gets a 10–15% discount because you are guaranteed four jobs. An annual contract with monthly touchups gets a steeper discount because the volume justifies it.

In residential, you think in hours. In commercial, you think in crew-days. A crew-day is one crew (typically 2–3 operators) working a full day (8–10 hours). Your crew-day cost includes labor, chemical, equipment, fuel, insurance allocation, and overhead. For most commercial wash operators, a fully loaded crew-day cost is $800–$1,500 depending on your market and crew size. Your crew-day revenue target should be 2.5x to 3.5x your crew-day cost. If your crew-day costs $1,000, you need to bill $2,500–$3,500 per crew-day to run a healthy business. When you estimate a commercial job, the question is: how many crew-days will this take? A 20,000 sqft exterior wall area on a single-story retail center with ground-level access might be a one-day job for a two-person crew. A 50,000 sqft exterior on a four-story office building with boom lift access might be a three-day job for a three-person crew. Once you know the crew-days, you multiply by your target daily revenue and you have your price. This approach is more reliable than per-square-foot pricing on commercial because it accounts for the access and condition variables that sqft-only pricing misses. Use the sqft rate as a sanity check, but build the estimate on crew-days.

The real money in commercial washing is portfolio work. A property management company that manages 15 retail centers, 8 office buildings, and 5 medical facilities does not want 28 separate proposals. They want one proposal, one contract, one point of contact. When you quote a portfolio, you calculate each property individually using the same crew-day methodology, then present the total as a unified proposal. The volume justifies a discount — typically 10–20% off your individual property pricing — because you are locking in predictable revenue, reducing your sales cost per property to near zero, and optimizing your routing across multiple sites. The proposal should show each property as a line item with the individual price, then the portfolio total with the volume discount applied. Property managers want transparency. They want to see what each building costs so they can compare to their existing contracts. They also want to see the savings from bundling. Present both numbers and you make the decision easy. In CleanEstimate Pro, the commercial module lets you build portfolio quotes with up to 50 properties. Each property gets its own estimate with auto-pulled building data, and the portfolio view aggregates everything into a single proposal with configurable volume discounts.

Commercial work has a longer sales cycle than residential. A homeowner might say yes in 10 minutes. A property manager needs board approval, budget allocation, and maybe competitive bids. The typical commercial sales cycle is 2–6 weeks for single properties and 4–12 weeks for portfolio deals. That means you need a pipeline. You need to know where every deal stands — who you have quoted, who needs a follow-up, who is in negotiation, and who has gone dark. A kanban-style pipeline with stages like Lead, Quoted, Follow-Up, Negotiation, Won, and Lost gives you visibility into your commercial revenue forecast. Without it, deals fall through the cracks. You quote a building, the property manager says they will get back to you, and three weeks later you have forgotten about it. With a pipeline and automated follow-up reminders, you stay on top of every deal. The operators I know who run the most successful commercial divisions all have one thing in common: they track their pipeline religiously. They know their close rate by stage, their average deal value, and their days-to-close. That data lets them forecast revenue and make smart decisions about how much time to invest in commercial sales versus residential production.