ManpowerGroup (MAN) Cash & Equivalents (2009 - 2026)
ManpowerGroup (MAN) recorded Cash & Equivalents of $233.1 million in Q3 2026, down 15.1% from $274.6 million a year earlier but up 29.1% from the prior quarter.
ManpowerGroup (MAN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, ManpowerGroup reported Cash & Equivalents of $871 million, up 71.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $509.4 million in FY2024 (-12.4%), $581.3 million in FY2023 (-9.0%), $639 million in FY2022 (-24.6%) and $847.8 million in FY2021 (-45.9%).
- Quarterly Cash & Equivalents has ranged from $180.6 million in Q2 2026 to $886.2 million in Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 17.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 71.0% in Q4 2025, against a decline of 67.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $180.6 million (Q2 2026), $224.9 million (Q1 2026) and $871 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 12.83 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 188.16 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 129.05 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 373.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 1.02 Bn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 499.43 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 1.63 Bn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | 2.47 Bn |
| 10 | ManpowerGroup | 2.08 Bn | 572.76 Mn | 767.30 Mn | 233.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 233.10 Mn |
| Jun 30, 2026 | 180.60 Mn |
| Mar 31, 2026 | 224.90 Mn |
| Dec 31, 2025 | 871.00 Mn |
| Sep 30, 2025 | 274.60 Mn |
| Jun 30, 2025 | 289.80 Mn |
| Mar 31, 2025 | 395.00 Mn |
| Dec 31, 2024 | 509.40 Mn |
| Sep 30, 2024 | 410.90 Mn |
| Jun 30, 2024 | 468.90 Mn |
| Mar 31, 2024 | 604.80 Mn |
| Dec 31, 2023 | 581.30 Mn |
| Sep 30, 2023 | 571.10 Mn |
| Jun 30, 2023 | 407.60 Mn |
| Mar 31, 2023 | 706.70 Mn |
| Dec 31, 2022 | 639.00 Mn |
| Sep 30, 2022 | 527.50 Mn |
| Jun 30, 2022 | 886.20 Mn |
| Mar 31, 2022 | 777.30 Mn |
| Dec 31, 2021 | 847.80 Mn |
ManpowerGroup 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=MAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "MAN", "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=MAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();