ManpowerGroup (MAN) Property, Plant & Equipment (Net) (2009 - 2026)
ManpowerGroup (MAN) reported Property, Plant & Equipment (Net) of $115.1 million for Q2 2026, down 10.8% from $129.1 million a year earlier and down 2.6% 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 Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- Year over year, Property, Plant & Equipment (Net) gained in three of the last eight quarters, with an average decline of 1.3%.
- 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 Q2 2026 came in at $118.2 million (Q1 2026), $123.2 million (Q4 2025) and $124.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | ManpowerGroup | 2.52 Bn | 967.28 Mn | 780.30 Mn | 115.10 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 118.80 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();