Robert Half (RHI) Cost of Revenue (2009 - 2026)
Robert Half (RHI) posted Cost of Revenue of $862.34 million for Q2 2026, up 0.2% from $860.27 million a year earlier and up 5.1% from the prior quarter.
Robert Half (RHI) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Robert Half was $3.35 billion, down 3.1% year-over-year; for FY2025, it was $3.38 billion, down 4.9% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Robert Half's Cost of Revenue was $3.55 billion in FY2024 (-7.0%), $3.82 billion in FY2023 (-7.9%), $4.14 billion in FY2022 (+10.1%) and $3.77 billion in FY2021 (+21.6%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q3 2024.
- On a year-over-year basis, Cost of Revenue increased in 1 of the last eight quarters, with an average decline of 3.9%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2021, with growth of 36.6%; the weakest was Q4 2023, with a decline of 11.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $820.27 million (Q1 2026), $812.82 million (Q4 2025) and $850.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Robert Half | 3.70 Bn | 2.27 Bn | 474.03 Mn | 862.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 862.34 Mn |
| Mar 31, 2026 | 820.27 Mn |
| Dec 31, 2025 | 812.82 Mn |
| Sep 30, 2025 | 850.25 Mn |
| Jun 30, 2025 | 860.27 Mn |
| Mar 31, 2025 | 852.86 Mn |
| Dec 31, 2024 | 846.27 Mn |
| Sep 30, 2024 | 893.35 Mn |
| Jun 30, 2024 | 895.85 Mn |
| Mar 31, 2024 | 913.14 Mn |
| Dec 31, 2023 | 888.73 Mn |
| Sep 30, 2023 | 922.87 Mn |
| Jun 30, 2023 | 979.31 Mn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 987.24 Mn |
Robert Half Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=RHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "RHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=RHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();