Robert Half (RHI) Cash & Equivalents (2009 - 2026)
Robert Half (RHI) recorded Cash & Equivalents of $324.71 million in Q2 2026, down 14.7% from $380.55 million a year earlier but up 16.6% from the prior quarter.
Robert Half (RHI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Robert Half reported Cash & Equivalents of $464.44 million, down 13.6% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $537.58 million in FY2024 (-26.5%), $731.74 million in FY2023 (+11.1%), $658.63 million in FY2022 (+6.4%) and $619 million in FY2021 (+7.8%).
- Quarterly Cash & Equivalents has ranged from $278.39 million in Q1 2026 to $731.74 million in Q4 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for ten consecutive quarters, with an average decline of 24.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 22.9% in Q3 2023, against a decline of 36.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $278.39 million (Q1 2026), $464.44 million (Q4 2025) and $365.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Robert Half | 3.70 Bn | 2.27 Bn | 474.03 Mn | 324.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324.71 Mn |
| Mar 31, 2026 | 278.39 Mn |
| Dec 31, 2025 | 464.44 Mn |
| Sep 30, 2025 | 365.29 Mn |
| Jun 30, 2025 | 380.55 Mn |
| Mar 31, 2025 | 342.47 Mn |
| Dec 31, 2024 | 537.58 Mn |
| Sep 30, 2024 | 570.47 Mn |
| Jun 30, 2024 | 547.37 Mn |
| Mar 31, 2024 | 540.94 Mn |
| Dec 31, 2023 | 731.74 Mn |
| Sep 30, 2023 | 729.47 Mn |
| Jun 30, 2023 | 722.76 Mn |
| Mar 31, 2023 | 547.73 Mn |
| Dec 31, 2022 | 658.63 Mn |
| Sep 30, 2022 | 593.35 Mn |
| Jun 30, 2022 | 590.91 Mn |
| Mar 31, 2022 | 550.33 Mn |
| Dec 31, 2021 | 619.00 Mn |
| Sep 30, 2021 | 633.72 Mn |
Robert Half Cash & Equivalents 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=cash-and-equivalents&ticker=RHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();