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Operator Benchmarks · 2026

Trades operating benchmarks

The numbers a healthy home services business runs against — the same targets a PE-grade operator uses to judge whether a shop is leaving margin on the table.

These are operator benchmarks — ranges observed across running multi-trade home-services companies and used for owner planning. They are guides for judging your own numbers, not a formal industry survey. Cite them as "IronMargin operator benchmark, 2026."

Margin & profitability

8–14%
Net margin

Typical net margin band for a trades business doing $1M–$15M. Shops at the low end usually share three problems: stale flat-rate pricing, low maintenance attachment, and unreviewed supply-house pricing.

55–65%
Blended gross margin

Healthy blended gross margin by job type. A wide spread by technician usually signals inconsistent parts markup.

35–42%
Blended parts margin

Benchmark for a well-managed shop. Many owners sit at 28% because they have a supply-house relationship but no formal pricing agreement.

Labour & productivity

70–75%
Billable utilisation

Billable hours ÷ paid hours. Most owners pay for 40 hours and bill 22–26 without realising it — the single largest hidden leak in the trades.

Under 15%
Drive time

Share of paid hours spent in the windshield. Above this, route density and dispatch batching need attention.

8:00am
First call on-site

A front-loaded day starts with the first tech on-site by 8:00am, not 9:30am after coffee.

Pricing, parts & inventory

35–50%
Realised parts markup

Enforced with a tiered matrix: 40% fast-moving, 50% specialty, 60% emergency or after-hours. Per-tech spread should stay under 5%.

6–8+
Inventory turns

Annual parts cost ÷ average truck inventory. Low turns mean cash is tied up in rolling stock and shrinkage.

Under 3%
Discount rate

Discounts ÷ gross revenue. A reflexive discount habit quietly erodes the average ticket.

Service quality & retention

Under 3%
Callback rate

Callback jobs ÷ total jobs. Above 5% is a warning sign — track cause (warranty vs training vs service), not just the count.

85–90%
Call-booking conversion

Inbound calls that become booked jobs, for a well-trained CSR team with a scripted call flow. Many shops sit near 72%.

30%+
Maintenance attachment

Share of customers on a maintenance agreement. Moving from 15% to 30% roughly doubles recurring revenue and lifts the exit multiple.

Exit value

4x–6x
EBITDA exit multiple

The gap between a 4x and a 6x outcome is built into the numbers over the 24 months before a sale — clean add-backs, revenue mix, and reduced key-man risk.

−5% flag
Losing-truck margin

A single truck at −5% margin on $300,000 of revenue loses about $15,000 a year, often hidden inside a blended P&L for years.

Source: IronMargin operator benchmarks, 2026 — ranges observed across running multi-trade home-services operations doing $1M–$15M in revenue. Use them to judge your own numbers; your figures will vary by market, trade mix, and revenue band. See the full methodology for how these are calculated.

Benchmark questions

What is a healthy billable utilisation rate for a trades business?

70–75% of paid hours billed to a customer. Most owners pay for 40 hours a week and bill 22–26 without realising it — the single largest hidden leak in the trades.

What parts markup should a trades business target?

35–50% realised parts markup, enforced with a tiered matrix — 40% on fast-moving parts, 50% on specialty parts, 60% on emergency or after-hours calls. Per-technician spread should stay under 5%.

What callback rate is normal for a home services business?

Under 3% of jobs. A callback rate above 5% is a warning sign, and the cause — warranty defect, technician error, or customer expectation — matters more than the raw count.

What EBITDA multiple do trades businesses sell for?

Typically 4x–6x EBITDA. The gap between the low and high end is usually built in the 24 months before a sale, through clean add-backs, revenue mix, and reduced key-man risk.

See where your numbers land

The EBITDA Leak Calculator compares your shop against these benchmarks and estimates the annual leak in about two minutes.