Direct answer
What does this research show?
Bennett Financials calculated $183,010–$231,793 of aggregate 2022 receipts per March employee across four Census NAICS 54 revenue bands from $1 million through $24.999 million for U.S. employer firms that operated the entire year. These are receipts-weighted size-band ratios, not firm medians or employee quotas. Owners should pair revenue per employee with gross profit per employee, contractor use, owner labor, service mix, utilization, quality, and cash.[1]
Key findings
What should an owner know first?
- Bennett calculation
Bennett Financials calculated $183,010 of aggregate receipts per March employee for 101,147 U.S. NAICS 54 employer firms that operated the entire year and had $1 million–$2.499 million of 2022 receipts, using $157.781 billion of receipts and 862,146 employees from the U.S. Census Bureau's 2022 Economic Census.[1]
- Bennett calculation
Bennett Financials calculated $231,793 of aggregate receipts per March employee for 14,808 U.S. NAICS 54 employer firms that operated the entire year and had $10 million–$24.999 million of 2022 receipts, using $227.403 billion of receipts and 981,057 employees from the U.S. Census Bureau's 2022 Economic Census.[1]
- Bennett calculation
Across 180,072 U.S. NAICS 54 employer firms that operated the entire year in the four selected 2022 receipts bands, Bennett Financials calculated from the U.S. Census Bureau's 2022 Economic Census a combined $209,537 of aggregate receipts per March employee from $686.359 billion of receipts and 3,275,593 employees.[1]
- External benchmark
Bennett Financials' review of the U.S. Bureau of Labor Statistics' 2025 industry-productivity guidance for selected U.S. service-providing industries found that official labor productivity is real output per labor hour and does not supply business- or worker-level productivity levels, so BLS indexes are not revenue-per-employee benchmarks.[2][3]
What is the revenue-per-employee benchmark for professional services?
NAICS 54 receipts per employee by receipts band
Last verified
| 2022 receipts band | Employer firms | Receipts | Employees | Receipts per employee |
|---|---|---|---|---|
| $1M–$2.499M | 101,147[1] | $157.781B[1] | 862,146[1] | $183,010[1] |
| $2.5M–$4.999M | 41,425[1] | $144.006B[1] | 712,127[1] | $202,219[1] |
| $5M–$9.999M | 22,692[1] | $157.170B[1] | 720,263[1] | $218,212[1] |
| $10M–$24.999M | 14,808[1] | $227.403B[1] | 981,057[1] | $231,793[1] |
| Combined selected bands | 180,072[1] | $686.359B[1] | 3,275,593[1] | $209,537[1] |
Employment is full- and part-time headcount for the pay period including March 12, not full-time equivalents or an annual average. The top band extends $4.999 million beyond Bennett's $20 million target market.[1]
Each ratio is aggregate receipts divided by aggregate employment. It is not the average or median of firm-level revenue-per-employee ratios and should not be used as an individual employee quota.[1]
The compatible numerator and denominator make this more defensible than deriving revenue per employee from wage-only data. The table still describes one broad industry sector. NAICS 54 includes legal, accounting, architecture, engineering, computer systems, consulting, advertising, scientific research, and other professional models with different price, labor, subcontractor, and pass-through economics.[1]
How should a company calculate revenue per employee?
- Revenue per employee
- Recognized revenue for a period divided by the employee denominator for that period. State whether the denominator is point-in-time headcount, average headcount, or full-time equivalents.
- Average headcount
- A consistent average of employee counts across the reporting period; it usually aligns an annual numerator better than a single closing-date count.
- Full-time equivalent (FTE)
- A standardized labor-capacity unit that converts part-time or partial-period work into full-time-equivalent capacity under a disclosed method.
- Gross profit per employee
- Gross profit divided by the selected employee denominator; it removes consistently classified direct service costs from the numerator.
For internal trend, use recognized revenue that reconciles to the ledger and an average headcount or FTE denominator that matches the same period. Show employees, contractors, and owner labor separately. A point-in-time headcount can overstate the ratio after layoffs or understate it after a late-year hiring wave because the numerator reflects a full period while the denominator reflects one date.
Why can gross profit per employee be more useful than revenue per employee?
Illustrative revenue and gross-profit productivity
Last verified
| Measure | Firm A | Firm B |
|---|---|---|
| Recognized revenue | $5,000,000 | $5,000,000 |
| Average employees | 25 | 25 |
| Revenue per employee | $200,000 | $200,000 |
| Gross margin | 60% | 40% |
| Gross profit | $3,000,000 | $2,000,000 |
| Gross profit per employee | $120,000 | $80,000 |
The example is a Bennett calculation, not an observed benchmark. A full analysis would also account for contractor dependence, owner labor, G&A, sales and marketing, capital, risk, and cash collection.
Revenue per employee rewards any numerator dollar equally. Pass-through media, hardware, laboratory cost, subcontracted work, and low-margin service can make the ratio rise without increasing the resources available for overhead or profit. Gross profit per employee corrects for consistently classified direct costs and often gives management a better view of the economic contribution supported by the team.
Does the higher ratio in larger revenue bands prove scale efficiency?
No. The calculated ratio rises from $183,010 in the lowest selected band to $231,793 in the highest, but the table is cross-sectional. It does not follow the same firms as they grow. Larger-band firms may have different subsector mix, prices, labor models, contractor use, capital, pass-through revenue, owner roles, or full-time/part-time composition.[1] The band boundary itself also affects interpretation. The $10 million–$24.999 million group reaches beyond Bennett's market and has a much wider span than the lower bands. A firm should compare its own consistently defined history and, where available, a genuinely compatible industry and business-model peer set before interpreting a gap as efficiency.[1]
How is BLS labor productivity different?
BLS labor productivity is real industry output divided by labor hours. It is designed to measure change through time after accounting for price effects, while nominal revenue per employee mixes price, volume, service mix, and headcount. BLS unit labor cost compares nominal labor compensation with real output, another different concept.[2][3] BLS states that it does not publish productivity statistics for individual businesses or workers and does not provide productivity levels. Its industry series should therefore be used as macro trend context, not converted into a company revenue-per-employee target or an evaluation of an individual employee.[3]
What can make revenue per employee rise or fall?
- Price realization changes while delivery effort remains constant.
- Service mix moves toward higher- or lower-ticket work, pass-through revenue, or subcontracted fulfillment.
- A capacity investment adds employees before revenue matures, temporarily reducing the ratio.
- Vacancies, layoffs, overtime, or owner overwork raise the ratio while increasing delivery and retention risk.
- Scope control, process redesign, automation, or reduced rework allows the same team to support more recognized revenue.
- Revenue-recognition timing changes independently of billing, collection, or the work still required to fulfill the contract.
How should owners use the metric in a hiring or pricing decision?
- Use a matched-period revenue and average-headcount or FTE definition, then restate prior periods consistently.
- Segment by service line and team so a high blended ratio does not hide one overloaded group and one underused group.
- Add gross profit per employee, delivery-payroll LER, contractor cost, utilization, backlog, quality, and employee load.
- For a hire, model ramp time, productive capacity, gross profit, payroll burden, cash timing, and the downside if demand arrives late.
- For pricing, separate rate, discount, mix, volume, and scope effects so headcount is not blamed for a commercial variance.
Bennett Financials view
What do these findings mean operationally?
Revenue per employee is a fast capacity signal, not a performance verdict. We use it to ask why the relationship moved. If the answer is stronger price, better scope control, and durable process improvement while quality and retention hold, the gain may be real. If the answer is contractor substitution, owner overload, deferred hiring, or pass-through revenue, the headline has outrun the economics.
Gross profit per employee is often the better companion because it forces direct delivery costs into the conversation. We also pair both measures with the Bennett revenue-to-delivery-payroll LER, utilization, capacity, and cash. No one denominator captures employees, contractors, systems, risk, and the timing required to deliver a service responsibly.
How was this analysis prepared?
Bennett divided aggregate receipts by aggregate March employment for employer firms that operated the entire year in each published 2022 Economic Census NAICS 54 receipts band. The combined proxy sums the four bands before dividing: $686.359 billion of receipts divided by 3,275,593 employees equals $209,537 after rounding. Ratios are receipts-weighted aggregates, not means or medians of firms.[1]
The gross-profit-per-employee comparison is illustrative. BLS material is used to distinguish real-output-per-hour industry indexes from nominal company revenue ratios. No BLS level was converted into a financial benchmark.[2]
What are the limitations?
Census employment is a March 12 full- and part-time headcount, not annual average headcount or FTE. NAICS 54 is broader than Bennett's client population, excludes many service sectors, and includes varied business models. The highest selected band extends to $24.999 million. The ratio does not control for contractors, proprietor/partner labor, hours, price levels, pass-through revenue, margin, quality, or cash collection.[1]
Questions this research answers
- What is the 2022 NAICS 54 revenue-per-employee benchmark?
- Bennett calculated $183,010–$231,793 across the four selected Economic Census receipts bands and $209,537 for the combined $1 million–$24.999 million proxy. These are aggregate receipts per March employee, not firm medians or quotas.[1]
- Should contractors be included in employee count?
- Keep the employee metric faithful to its name, then show a separate workforce-equivalent or total-delivery-capacity view that includes contractors under a disclosed method. Otherwise outsourcing can raise revenue per employee without improving economic productivity.
- Should the denominator use headcount or FTE?
- For internal annual comparison, average headcount or average FTE usually aligns better with a full-period revenue numerator than one date. Use the same method over time. The Census benchmark specifically uses March full- and part-time headcount, so label any comparison accordingly.[1]
- Why is gross profit per employee often better?
- It removes consistently classified delivery costs from revenue before dividing by employees. That exposes cases where pass-through revenue, contractors, tools, or materials make revenue per employee look strong while little additional gross profit remains.
- Can revenue per employee be too high?
- Yes. A high ratio can signal strong price and process, but it can also signal understaffing, owner overload, deferred hiring, poor service, or contractor dependence. Read it with backlog, utilization, quality, retention, employee load, gross profit, and cash.
Sources
- U.S. Census Bureau. 2022 Economic Census: Selected Sectors—Firms by Revenue Size. EC2200SIZEREVFIRM, NAICS 54. 2025-04-24. Period: 2022 receipts; March 12 employment. Population: U.S. employer firms in Professional, Scientific, and Technical Services that operated the entire year. Metric type: Estimate. Accessed September 2, 2026. Employment is full- and part-time headcount. Bennett ratios divide aggregate receipts by aggregate employment; the top selected receipts band extends to $24.999 million.
- U.S. Bureau of Labor Statistics. Productivity and Costs by Industry: Selected Service-Providing Industries—2025. Industry labor productivity and unit labor cost release. 2026-08-26. Period: 2025. Population: Selected U.S. service-providing industries. Metric type: Estimate. Accessed September 2, 2026. BLS productivity is real output per labor hour; the release reports industry changes, not a company revenue-per-employee level.
- U.S. Bureau of Labor Statistics. Productivity 101: What Data Are Not Available?. Productivity data limitations. Period: Current BLS methodology guidance. Population: BLS labor productivity program. Metric type: Not applicable. Accessed September 2, 2026. Explains that BLS does not produce productivity statistics for individual businesses or workers and does not provide productivity levels.