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Utilization Rate: The Number Behind a Busy Week That Still Loses Money
A technician can be on the clock all week and still lose money for the business, and the reason is usually one ratio that few small service companies track: the share of paid hours that were actually sold.
At a glance
- Utilization rate is billable (or booked) hours divided by paid hours; it shows how much of the time you pay for turns into time a customer pays for.
- Every business has a break-even utilization, equal to the fully loaded cost of one paid hour divided by the price of one sold hour, and below that line a busy week loses money.
- In an illustrative home service company, a technician paid for 40 hours who bills 22 is at 55% utilization and costs the business about $500 that week; moving the same technician to 28 billable hours turns the week into a $400 gain.
The number and where it comes from
The utilization rate formula is short: utilization = billable hours Γ· paid hours. Paid hours are everything on the timesheet; billable hours are the hours a customer was charged for, or in an appointment business, the hours that were booked and served. The gap between them is drive time, waiting on parts, callbacks, cleanup, training, slow afternoons and the half hour between a cancellation and the next client.
The ratio matters because costs run on paid hours and revenue runs on billable hours. We were busy all week, so why is the account empty? That question usually means the team was occupied but not selling, and a week full of drive time, return trips and unbooked gaps feels exactly as busy as a profitable one.
Queueing research adds a caution from the other direction. A chapter on queueing analysis in healthcare shows that delays rise at an increasing rate as utilization climbs toward 100%, so the goal is a utilization comfortably above break-even and below the point where customers wait weeks for an opening, rather than as high as possible.
The break-even line
The line between a busy week that makes money and one that loses it is the break-even utilization: fully loaded cost per paid hour Γ· price per billable hour. Fully loaded cost means wages plus payroll taxes, benefits and insurance, plus the vehicle, tools and the share of office overhead that each field hour has to carry.
A worked calculation
| Paid hours per week (Assumption) | 40 |
|---|---|
| Hourly wage (Assumption) | $34 |
| Payroll taxes, benefits, insurance per paid hour (Assumption) | $12 |
| Vehicle, fuel and tools per paid hour (Assumption) | $14 |
| Office and overhead share per paid hour (Assumption) | $35 |
| Fully loaded cost per paid hour (Calculated ($34 + $12 + $14 + $35)) | $95 |
| Price per billable hour (Assumption) | $150 |
| Break-even utilization (Calculated ($95 Γ· $150)) | 63.3% |
| Break-even billable hours per week (Calculated (40 Γ 63.3%)) | 25.3 |
| Billable hours this week (Assumption) | 22 |
| Utilization this week (Calculated (22 Γ· 40)) | 55% |
| Result this week (Calculated (22 Γ $150 β 40 Γ $95)) | -$500 |
| Result at 28 billable hours (Calculated (28 Γ $150 β 40 Γ $95)) | $400 |
| Difference over 48 working weeks (Calculated ((28 β 22) Γ $150 Γ 48)) | $43,200 |
Illustrative example; replace every assumption with your own numbers.
Six more billable hours a week does not require working longer, because the hours already exist inside the timesheet. They usually come from three places: tighter routing so technicians spend less time driving between jobs, fewer return trips because the truck carried the right part, and a waitlist or maintenance list the office can call when a job cancels or finishes early.
The same arithmetic works in an appointment business. A stylist on the schedule for 36 hours who serves clients for 25 is at 69%, and the gaps are usually visible on the calendar as the hour after a no-show, the late afternoon nobody books and the buffer that was never needed.
How you compare
- Your break-even line: compute it before anything else, since a company at 60% is losing money if its break-even is 63% and doing well if its break-even is 50%.
- The upper limit: hospital research found shortages beginning at about 85% average occupancy in a simulation published in the BMJ; a team that bills well above 85% of paid hours is likely running long lead times and overtime.
- Your own baseline: utilization for each technician or provider over the last four weeks, with the lowest week examined line by line to see where the unbilled hours went.
The next step is to pull four weeks of timesheets and invoices, compute utilization for each person, and set it beside your break-even line.
About this research: The formula and break-even line are standard cost accounting. The comments on delay at high utilization draw on a chapter on queueing analysis in healthcare and a hospital simulation in the BMJ. The technician example is illustrative.
Sources
- Green, L. Queueing Analysis in Healthcare. In Hall, R. (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, Springer, 2006.
- Bagust, A., Place, M. and Posnett, J. W. Dynamics of bed use in accommodating emergency admissions: stochastic simulation model. BMJ 319:155β158, 1999.
Related reading: Job Costing for Contractors Who Hate Spreadsheets Β· How to Calculate Profit Per Service in Five Minutes Β· The Hidden Costs That Turn a Profitable Job Into a Loss Β· Capacity Planning for Service Businesses: How Full Is Full? Β· Same-Day and Emergency Jobs: Fitting Them In Without Wrecking the Schedule
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