Utilization Rate: Benchmarks and Worked Examples

What you will learn

• How to apply the utilization rate formula and why your choice of denominator changes the result significantly.
• What benchmark ranges to expect for equipment hire fleets, construction plant, and billable technicians - and why you cannot mix them.
• How to run a worked example for a hire fleet, a trade business, and owned construction plant, with illustrative arithmetic.
• What consistently low or high utilization signals about capacity sizing, maintenance health, and fleet decisions.
• How to connect utilization rate data to job costing and capital allocation.

Utilization rate tells you what percentage of your available capacity is actually being used - and the formula is straightforward: divide the hours (or days) a resource was actively in use by the total hours (or days) it was available, then multiply by 100. As a one-line equation: Utilization Rate = (Hours Used / Hours Available) × 100. What the formula cannot tell you on its own is whether the number you get is good, bad, or irrelevant for your business - because that depends entirely on what you are measuring and what context you are comparing it against.

Key Takeaways

• How to apply the utilization rate formula and why your choice of denominator changes the result significantly.
• What benchmark ranges to expect for equipment hire fleets, construction plant, and billable technicians - and why you cannot mix them.
• How to run a worked example for an AV hire fleet, an electrical testing business, and a groundworks contractor.
• What consistently low or high utilization signals about capacity sizing, fleet health, and fleet decisions.
• How to connect utilization rate data to job costing and capital allocation decisions.

The Formula - and Why the Denominator Matters

The standard formula for utilization rate is:

Utilization Rate = (Hours Used / Hours Available) × 100

That sentence is simple enough. What trips up most operators is the word "available." Depending on how you define available time, the same machine can show four completely different utilization percentages - and all four can be mathematically correct.

Calendar-based denominator: You divide by the total hours in the period, including nights, weekends, and planned shutdowns. A machine running 60 hours in a 168-hour week has a calendar utilization of 36%. This tells you how hard the asset is working relative to the maximum theoretical limit.

Scheduled-denominator: You divide by the hours the machine is actually scheduled to run. If that machine runs two 8-hour shifts, 6 days a week, the scheduled available hours are 96. Running for 60 of those 96 hours gives you 62.5% scheduled utilization. This is the number most operations managers find most actionable.

Contractual-denominator (hire and rental businesses): You divide by the days or hours the asset was available to rent. Equipment sitting in the service bay for maintenance is excluded from available time in some frameworks - which can inflate the reported number.

Before running any benchmarking exercise, write down your numerator and denominator in plain English. What counts as "used"? Does it include setup time? Travel time between jobs? If the answer changes from one person to the next, your utilization data will not hold up.

Benchmark Ranges by Context

Different types of businesses use utilization rate for different purposes, and the benchmark ranges reflect that.

Equipment hire and rental fleets

For most equipment rental and hire businesses, fleet management data from 2026 puts the healthy target for time utilization between 65% and 75% across most asset classes. Consistently below 55% typically signals that the fleet is over-sized relative to demand. Consistently above 85% is not a sign of health - it usually means maintenance is being deferred and customers are being turned away when demand peaks.

Within a hire fleet, target ranges vary by asset type:

• Earthmoving equipment (excavators, dozers): 65-75% target - higher maintenance overhead limits the sustainable ceiling
• Aerial work platforms - scissor lifts and boom lifts: 70-80% target - lower maintenance needs allow higher throughput
• Telehandlers and material handling: 70-75% target
• General compact equipment and tools: 60-70% target - frequent wear and tear caps the realistic ceiling

These ranges assume a well-managed fleet in a stable economic environment. A seasonal business - hire equipment for events, scaffold for summer construction programmes - will have lower annual averages but acceptable monthly peaks well above 85%.

Construction equipment on owned fleets

For construction businesses that own rather than hire equipment, fleet tracking data suggests 70-85% as the optimal range for actively working machines. Below 60% is generally considered a signal that a machine is not earning its keep. The exact threshold matters less than the direction of travel - an owned machine that falls from 72% to 54% over six months warrants investigation before it falls further.

Billable utilization in service and trade businesses

For electricians, AV technicians, or any service business billing by the hour, utilization rate measures something different: the share of a person's available time that is spent on billable work. The formula is the same but the numerator is billable hours rather than machine running hours.

Benchmarks vary by sector. SPI Research's 2025 Professional Services Maturity Benchmark, which surveyed 403 firms globally, found that the average billable utilization across professional services firms in 2024 was 68.9%. Architecture and engineering firms averaged 82.4% firm-wide according to the Architecture Business Benchmarks Report - significantly higher because the nature of project-based work keeps senior staff consistently billed. For most trade and specialist businesses, targeting 70-80% billable utilization per technician is a realistic and sustainable range; above 90% begins to leave no time for travel, training, or admin that the business still needs.

Worked Examples

The following examples use illustrative numbers to show how the calculation works and what the result means in context. They are not real business data.

Example 1: Hire fleet - scissor lift

An AV hire company owns four scissor lifts. In a given month with 22 working days, each unit is available to hire Monday to Friday. Available time per unit: 22 days. Days on hire across all four units: 63 days total.

Average utilization per unit: 63 ÷ (4 × 22) × 100 = 71.6% (illustrative)

That number sits comfortably within the 70-80% benchmark range for aerial platforms. One unit had 18 days on hire (82%), one had 14 days (64%), and two averaged around 15-16 days. The 64% unit warrants a closer look - if it is consistently the last to go out and the first to come back, it may be the oldest or least desirable specification in the fleet, which has implications for the next capital expenditure decision.

Example 2: Trade business - technician billable hours

An electrical testing business has three EICR technicians, each contracted for 40 hours a week. In a four-week period, their billable hours logged are 128, 136, and 112 hours against 160 hours each of available time.

Individual utilization: 80%, 85%, and 70%. (illustrative)

Capacity utilization for the team: (128 + 136 + 112) ÷ (3 × 160) × 100 = 376 ÷ 480 × 100 = 78.3% (illustrative)

The 70% technician is below the team average. Before drawing conclusions, check the non-billable hours - is the time going on travel between scattered sites, on rework, or on genuine admin? A technician clocking 30 hours of billable work from 40 scheduled hours may simply have a poorly arranged job schedule rather than a productivity problem.

Example 3: Construction equipment - owned plant

A groundworks contractor owns a 5-tonne excavator deployed on a project. Over 11 working weeks, the scheduled available hours total 440 (8 hours per day, 5 days a week). A planned service interval removes 48 hours, leaving 392 scheduled available hours. Hours actually operating on productive groundworks: 298.

Scheduled utilization: 298 ÷ 392 × 100 = 76% (illustrative)

This sits within the 65-75% benchmark range for earthmoving equipment - slightly above the top of that range, which suggests the machine is well-deployed on this contract. The 24% non-productive scheduled time includes standby, repositioning between areas, and shift gaps where site conditions paused work. Whether that 16% (excluding the service interval) is recoverable depends on the project programme, not the machine.

What a Low or High Utilization Rate Usually Means

A utilization rate is a signal, not a diagnosis. Low utilization usually points to one of three things: the asset or resource is over-supplied relative to demand, the scheduling process is not matching work to available capacity efficiently, or the asset is spending too much time in maintenance or transit. High utilization points to the opposite - and at the extreme, it points to a business that is undersized for its workload or running without the buffer it needs to handle unexpected jobs.

The most common mistake is treating a single month's utilization figure as evidence of a structural problem. Equipment hire businesses with event-heavy clients will see natural peaks and troughs across the year. A hire business serving the live events sector may average 35% in January and 85% in June. The number to benchmark is the annual average, not a single month - unless you are specifically investigating a one-month anomaly.

A utilization rate that is consistently outside the expected range for your asset type and business model is worth investigating. The utilization rate glossary entry covers the definition in detail - this guide goes deeper into the benchmarks and worked examples that the definition does not address.

Connecting Utilization Rate to Job Costing and Fleet Decisions

Utilization rate is not a standalone number. It connects directly to job costing: if your hired plant is at 65% utilization, roughly a third of its standing costs are not covered by productive work during that period. Businesses that track utilization alongside their job costing data have a clearer picture of which jobs are absorbing the dead time and which are not. The guide on how to run job costing on a construction project covers that connection in detail.

For AV hire businesses, utilization rate underpins the hire rate calculation. If a piece of equipment must generate enough revenue to cover its acquisition cost, maintenance, and overhead within a defined period, the utilization rate you can realistically sustain is the key input into the rate you need to charge. The guide on quoting and managing an AV equipment hire job covers how hire rates connect to fleet economics in more detail.

Fleet decisions - buying, selling, or reallocating assets - benefit from utilization data that covers at least 12 months. Short windows are too sensitive to seasonal demand and project timing. If a machine has run below 55% utilization for three consecutive years and shows no seasonal spike, that is a capital allocation decision waiting to happen.

Tracking utilization consistently means you can run these analyses without rebuilding the data each time. Zigaflow's jobs tracking captures hours logged against each job, giving you the raw data to calculate utilization per asset or per technician across live and completed jobs without maintaining a separate spreadsheet.

Utilization rate is one of the clearest signals in an equipment-heavy or people-heavy service business. Calculate it consistently, benchmark it against the right comparator for your asset type, and track it over time - not as a target to hit, but as a diagnostic to understand whether your capacity and your workload are properly matched.

Sources

• Fleet Utilization Benchmarks 2026: Is Your Equipment Actually Making Money?Hapn · accessed 2026-08-01
• Utilization Rate: Calculation, Benchmarks & ExamplesPM Study Circle · accessed 2026-08-01
• Construction Equipment Utilization Rate: What It Is and How to Improve ItFleetRabbit · accessed 2026-08-01
• Consultant Utilization Rate Benchmarks 2025-2026: What the Data SaysSaibon Group · accessed 2026-08-01

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