ManpowerGroup (MAN) Price to Earnings (2010 - 2026)
ManpowerGroup's (MAN) Price to Earnings came in at 15.07 for Q2 2026.
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Analysis
ManpowerGroup (MAN) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024, ManpowerGroup's Price to Earnings stood at 18.57, down 57.0% from FY2023.
- In prior years, ManpowerGroup's Price to Earnings was 43.17 in FY2023 (+283.1%), 11.27 in FY2022 (-17.5%), 13.65 in FY2021 (-93.4%) and 208.38 in FY2020.
- The Q2 2026 figure stands as the highest quarterly Price to Earnings since Q1 2025.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q1 2024, with growth of 531.9%; the weakest was Q4 2021, with a decline of 93.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | ManpowerGroup | 2.52 Bn | 967.28 Mn | 780.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.07 |
| Mar 31, 2025 | 24.13 |
| Dec 31, 2024 | 18.57 |
| Sep 30, 2024 | 90.57 |
| Jun 30, 2024 | 72.63 |
| Mar 31, 2024 | 73.05 |
| Dec 31, 2023 | 43.17 |
| Sep 30, 2023 | 16.12 |
| Jun 30, 2023 | 12.99 |
| Mar 31, 2023 | 11.56 |
| Dec 31, 2022 | 11.27 |
| Sep 30, 2022 | 7.50 |
| Jun 30, 2022 | 9.36 |
| Mar 31, 2022 | 12.02 |
| Dec 31, 2021 | 13.65 |
| Sep 30, 2021 | 16.90 |
| Jun 30, 2021 | 24.79 |
| Mar 31, 2021 | 64.12 |
| Dec 31, 2020 | 208.38 |
| Sep 30, 2020 | 48.83 |
API Access
ManpowerGroup Price to Earnings 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=price-to-earnings&ticker=MAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();