Geo (GEO) Property, Plant & Equipment (Net) (2010 - 2026)
Geo's Property, Plant & Equipment (Net) came in at $1.86 billion for Q2 2026, up 1.8% from $1.82 billion a year earlier but down 0.7% from the prior quarter.
Geo (GEO) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Geo's Property, Plant & Equipment (Net) was $1.88 billion, down 0.8% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last seven years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.9 billion in FY2024 (-2.3%), $1.94 billion in FY2023 (-2.9%), $2 billion in FY2022 (-1.8%) and $2.04 billion in FY2021 (-4.0%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $1.82 billion (Q2 2025) to $2.06 billion (Q3 2021).
- Year-over-year, Property, Plant & Equipment (Net) increased in 1 of the last eight quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 1.8%), and the weakest in Q2 2025 (a decline of 5.0%).
- Business Quant data shows GEO's Property, Plant & Equipment (Net) at $1.87 billion (Q1 2026), $1.88 billion (Q4 2025) and $1.88 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 111.03 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 766.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 199.25 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.74 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 443.00 Mn |
| 10 | Geo | 3.62 Bn | 3.23 Bn | - | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Bn |
| Mar 31, 2026 | 1.87 Bn |
| Dec 31, 2025 | 1.88 Bn |
| Sep 30, 2025 | 1.88 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | 1.90 Bn |
| Sep 30, 2024 | 1.91 Bn |
| Jun 30, 2024 | 1.92 Bn |
| Mar 31, 2024 | 1.90 Bn |
| Dec 31, 2023 | 1.94 Bn |
| Sep 30, 2023 | 1.95 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 1.97 Bn |
| Dec 31, 2022 | 2.00 Bn |
| Sep 30, 2022 | 2.01 Bn |
| Jun 30, 2022 | 2.01 Bn |
| Mar 31, 2022 | 2.02 Bn |
| Dec 31, 2021 | 2.04 Bn |
| Sep 30, 2021 | 2.06 Bn |
Geo 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=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GEO", "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=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();