ManpowerGroup (MAN) Tax Provisions (2009 - 2026)
ManpowerGroup (MAN) posted Tax Provisions of $38.9 million for Q2 2026, up 53.8% from $25.3 million a year earlier and up 201.6% from the prior quarter.
ManpowerGroup (MAN) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at ManpowerGroup was $122.1 million, up 24.6% year-over-year; for FY2025, it was $106.7 million, down 4.5% from FY2024.
- Annual Tax Provisions has declined for four consecutive years, with a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, ManpowerGroup's Tax Provisions was $111.7 million in FY2024 (-4.6%), $117.1 million in FY2023 (-36.1%), $183.3 million in FY2022 (-1.3%) and $185.7 million in FY2021 (+49.9%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2022.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 10.2% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2026, with growth of 53.8%; the weakest was Q3 2023, with a decline of 46.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $12.9 million (Q1 2026), $35.4 million (Q4 2025) and $34.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 45.84 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 37.90 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | ManpowerGroup | 2.63 Bn | 1.08 Bn | 780.30 Mn | 38.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.90 Mn |
| Mar 31, 2026 | 12.90 Mn |
| Dec 31, 2025 | 35.40 Mn |
| Sep 30, 2025 | 34.90 Mn |
| Jun 30, 2025 | 25.30 Mn |
| Mar 31, 2025 | 11.10 Mn |
| Dec 31, 2024 | 25.20 Mn |
| Sep 30, 2024 | 36.40 Mn |
| Jun 30, 2024 | 32.30 Mn |
| Mar 31, 2024 | 17.80 Mn |
| Dec 31, 2023 | 29.50 Mn |
| Sep 30, 2023 | 24.40 Mn |
| Jun 30, 2023 | 30.60 Mn |
| Mar 31, 2023 | -32.60 Mn |
| Dec 31, 2022 | 41.60 Mn |
| Sep 30, 2022 | 45.50 Mn |
| Jun 30, 2022 | 51.80 Mn |
| Mar 31, 2022 | 44.40 Mn |
| Dec 31, 2021 | 51.30 Mn |
| Sep 30, 2021 | 47.90 Mn |
ManpowerGroup Tax Provisions 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=tax-provisions&ticker=MAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();