Robert Half (RHI) Operating Expenses (2009 - 2026)
Robert Half (RHI) reported Operating Expenses of $536.33 million for Q2 2026, up 5.6% from $507.93 million a year earlier and up 21.1% from the prior quarter.
Robert Half (RHI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Robert Half's Operating Expenses came in at $1.94 billion, down 0.7% year-over-year; for FY2025, it came in at $1.93 billion, down 4.0% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.01 billion in FY2024 (-5.0%), $2.11 billion in FY2023 (-0.3%), $2.12 billion in FY2022 (+8.5%) and $1.95 billion in FY2021 (+17.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2023.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 28.1%); the low point was Q1 2025 (a decline of 11.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $443 million (Q1 2026), $467.11 million (Q4 2025) and $490.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Robert Half | 3.76 Bn | 2.33 Bn | 474.03 Mn | 536.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 536.33 Mn |
| Mar 31, 2026 | 443.00 Mn |
| Dec 31, 2025 | 467.11 Mn |
| Sep 30, 2025 | 490.64 Mn |
| Jun 30, 2025 | 507.93 Mn |
| Mar 31, 2025 | 460.16 Mn |
| Dec 31, 2024 | 471.63 Mn |
| Sep 30, 2024 | 511.09 Mn |
| Jun 30, 2024 | 501.14 Mn |
| Mar 31, 2024 | 521.90 Mn |
| Dec 31, 2023 | 519.55 Mn |
| Sep 30, 2023 | 496.73 Mn |
| Jun 30, 2023 | 541.90 Mn |
| Mar 31, 2023 | 552.23 Mn |
| Dec 31, 2022 | 545.13 Mn |
| Sep 30, 2022 | 548.58 Mn |
| Jun 30, 2022 | 509.39 Mn |
| Mar 31, 2022 | 514.19 Mn |
| Dec 31, 2021 | 544.55 Mn |
| Sep 30, 2021 | 495.58 Mn |
Robert Half Operating Expenses 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=operating-expenses&ticker=RHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();