Labour Cost Benchmarking vs. Industry

Meridian Professional Services — FY 2024 · Salary, Utilisation & Effective Rate by Function · Sources: Hays, Robert Half, KPMG People Advisory (simulated benchmarks)

Cost Structure Overview
Total Labour Cost vs. Industry Benchmark
Labour represents 72.4% of total revenue — 3.8pp above the professional services industry benchmark of 68.6%. The gap is driven by below-benchmark utilisation rates and above-market salaries in the Operations and Project Management functions.

Labour Cost as % of Revenue: Ours vs. Industry

Total Cost Composition (% of Revenue)

Cost ComponentOur Cost ($M)% of RevenueIndustry %VarianceStatus
Base Salaries$18.42M52.6%50.2%+2.4ppOver
Benefits & Super$3.32M9.5%9.0%+0.5ppOver
Variable / Bonus$2.24M6.4%5.8%+0.6ppOver
Contractors & Temps$1.40M4.0%3.6%+0.4ppOver
Overheads (Non-Labour)$5.08M14.5%15.8%−1.3ppUnder
Total Operating Cost$30.46M86.9%84.4%+2.5ppOver
72.4%
Labour-to-Revenue (Ind: 68.6%)
$25.38M
Total People Cost
68.2%
Utilisation Rate (Ind: 74%)
$1.33M
Excess Labour Cost
Salary by Function
Average Salary vs. Market Median by Function
We pay above market in Operations (+12%) and Project Management (+9%) but below market in Technology (−6%) and Data & Analytics (−8%), creating retention risk in high-demand functions and overspend in delivery roles.

Avg Salary ($K): Ours vs. Market Median

Salary Premium / Discount vs. Market (%)

FunctionHeadcountOur Avg ($K)Market Median ($K)PremiumTotal Salary ($M)Excess vs. Mkt ($K)
Utilisation & Effective Cost
Billable Utilisation & Effective Hourly Cost by Function
Utilisation is the key multiplier in a people business. Our blended rate of 68.2% vs. industry 74% means we absorb 5.8pp more idle time cost. When adjusted for utilisation, Operations' effective hourly cost is $142 — 28% above the industry-adjusted rate of $111.

Billable Utilisation % by Function (Industry: 74%)

Effective Cost per Billable Hour ($)

FunctionUtilisation %Industry %GapAnnual HrsBillable HrsEff. $/HrInd. Eff. $/Hr
Project Economics
Labour Hours & Cost Allocation by Project Type
Transformation projects consume the most hours (38%) but have the lowest cost recovery ratio at 0.91x — meaning we spend $1.10 in labour for every $1.00 billed. Advisory and Managed Services both recover above 1.0x.

Hours & Labour Cost by Project Type

Cost Recovery Ratio by Project Type (1.0x = Break-Even)

Project TypeHours (K)% of TotalLabour Cost ($M)Revenue ($M)Recovery RatioIndustry RatioVariance
Advisory & Strategy42.6K18%$4.82M$6.14M1.27x1.22x+0.05x
Managed Services58.4K24%$5.46M$6.48M1.19x1.15x+0.04x
Implementation48.2K20%$5.18M$5.42M1.05x1.10x−0.05x
Transformation91.8K38%$9.92M$9.02M0.91x1.08x−0.17x
Total241.0K100%$25.38M$27.06M1.07x1.12x−0.05x
Seniority & Grade Mix
Headcount & Cost Distribution by Seniority Level
We are top-heavy relative to industry: 28% of headcount is Senior Manager or above (vs. 22% industry), driving up the blended cost per head. The mid-level layer (Consultant / Senior Consultant) is thinner than benchmark, creating a leverage gap.

Headcount Mix: Ours vs. Industry

Avg Salary by Seniority Level ($K)

Seniority LevelHeadcountOur Mix %Industry Mix %GapAvg Salary ($K)Total Cost ($M)
Partner / Director147%5%+2pp$248K$3.47M
Senior Manager4221%17%+4pp$168K$7.06M
Manager3819%20%−1pp$128K$4.86M
Senior Consultant4824%28%−4pp$96K$4.61M
Consultant3618%20%−2pp$74K$2.66M
Analyst / Graduate2211%10%+1pp$58K$1.28M
Total200100%100%$119K$23.94M
Cost Trend
Quarterly Labour Cost Ratio & Utilisation Trend
Labour-to-revenue has crept up from 69.8% in Q1 2023 to 74.1% in Q4 2024, while utilisation has declined from 72% to 66%. The divergence shows revenue is not keeping pace with headcount growth — a classic professional services margin trap.

Labour % of Revenue & Utilisation % — Quarterly

People Cost Scorecard
Labour Efficiency Radar vs. Industry Benchmark
We trail industry benchmarks on utilisation (58 vs 80), seniority leverage (55 vs 78), and cost recovery (62 vs 75). Salary competitiveness scores higher because we pay above market in most functions.

Labour Efficiency Score vs. Industry (100 = Best-in-Class)

Key Insights & Cost Optimisation Priorities