ManpowerGroup (MAN) EBITDA (2009 - 2026)
ManpowerGroup (MAN) posted EBITDA of $133.5 million for Q2 2026, compared with -$3.1 million a year earlier and up 175.3% from the prior quarter.
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Analysis
ManpowerGroup (MAN) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at ManpowerGroup was $371.8 million, up 62.4% year-over-year; for FY2025, it was $236.1 million, down 39.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In prior years, ManpowerGroup's EBITDA was $392.6 million in FY2024 (+14.0%), $344.4 million in FY2023 (-48.3%), $666.3 million in FY2022 (+1.1%) and $658.8 million in FY2021 (+149.6%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q1 2023.
- On a year-over-year basis, EBITDA increased in two of the last five quarters, with an average decline of 7.2%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 108.8%; the weakest was Q3 2023, with a decline of 50.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $48.5 million (Q1 2026), $101.1 million (Q4 2025) and $88.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.15 Bn | 106.43 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 88.12 Bn | 87.20 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.46 Bn | 14.50 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.20 Bn | 15.75 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 15.15 Bn | 13.91 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.69 Bn | 12.63 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 14.59 Bn | 8.29 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | ManpowerGroup | 2.11 Bn | 561.28 Mn | 780.30 Mn | 133.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.50 Mn |
| Mar 31, 2026 | 48.50 Mn |
| Dec 31, 2025 | 101.10 Mn |
| Sep 30, 2025 | 88.70 Mn |
| Jun 30, 2025 | -3.10 Mn |
| Mar 31, 2025 | 49.40 Mn |
| Dec 31, 2024 | 90.00 Mn |
| Sep 30, 2024 | 92.60 Mn |
| Jun 30, 2024 | 122.50 Mn |
| Mar 31, 2024 | 87.50 Mn |
| Dec 31, 2023 | -15.20 Mn |
| Sep 30, 2023 | 91.50 Mn |
| Jun 30, 2023 | 129.20 Mn |
| Mar 31, 2023 | 138.90 Mn |
| Dec 31, 2022 | 121.50 Mn |
| Sep 30, 2022 | 182.90 Mn |
| Jun 30, 2022 | 201.90 Mn |
| Mar 31, 2022 | 160.00 Mn |
| Dec 31, 2021 | 189.10 Mn |
| Sep 30, 2021 | 167.00 Mn |
API Access
ManpowerGroup EBITDA 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=ebitda&ticker=MAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();