ManpowerGroup (MAN) Property, Plant & Equipment (Net) (2009 - 2026)
ManpowerGroup (MAN) reported Property, Plant & Equipment (Net) of $111.1 million for Q3 2026, down 11.0% from $124.9 million a year earlier and down 3.5% from the prior quarter.
ManpowerGroup (MAN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, ManpowerGroup posted Property, Plant & Equipment (Net) of $123.2 million, up 4.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $118.4 million in FY2024 (-8.9%), $129.9 million in FY2023 (+15.8%), $112.2 million in FY2022 (-3.9%) and $116.8 million in FY2021 (-13.5%).
- The Q3 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with an average decline of 3.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2023 (growth of 15.8%); the low point was Q4 2021 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $115.1 million (Q2 2026), $118.2 million (Q1 2026) and $123.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 1.72 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 10.67 Bn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 111.03 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 451.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 791.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 1.74 Bn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 194.72 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | 443.00 Mn |
| 10 | ManpowerGroup | 2.08 Bn | 572.76 Mn | 767.30 Mn | 111.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 111.10 Mn |
| Jun 30, 2026 | 115.10 Mn |
| Mar 31, 2026 | 118.20 Mn |
| Dec 31, 2025 | 123.20 Mn |
| Sep 30, 2025 | 124.90 Mn |
| Jun 30, 2025 | 129.10 Mn |
| Mar 31, 2025 | 122.30 Mn |
| Dec 31, 2024 | 118.40 Mn |
| Sep 30, 2024 | 126.80 Mn |
| Jun 30, 2024 | 122.10 Mn |
| Mar 31, 2024 | 124.20 Mn |
| Dec 31, 2023 | 129.90 Mn |
| Sep 30, 2023 | 119.60 Mn |
| Jun 30, 2023 | 116.30 Mn |
| Mar 31, 2023 | 110.40 Mn |
| Dec 31, 2022 | 112.20 Mn |
| Sep 30, 2022 | 104.40 Mn |
| Jun 30, 2022 | 110.00 Mn |
| Mar 31, 2022 | 113.40 Mn |
| Dec 31, 2021 | 116.80 Mn |
ManpowerGroup Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();