CoreCivic (CXW) Property, Plant & Equipment (Net) (2009 - 2026)
CoreCivic's Property, Plant & Equipment (Net) came in at $2.15 billion for Q2 2026, up 4.3% from $2.06 billion a year earlier and up 1.2% from the prior quarter.
CoreCivic (CXW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, CoreCivic's Property, Plant & Equipment (Net) was $2.13 billion, up 3.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $2.06 billion in FY2024 (-2.6%), $2.11 billion in FY2023 (-2.8%), $2.18 billion in FY2022 (-4.7%) and $2.28 billion in FY2021 (-2.9%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- Year-over-year, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 4.3%), and the weakest in Q3 2021 (a decline of 15.1%).
- Business Quant data shows CXW's Property, Plant & Equipment (Net) at $2.12 billion (Q1 2026), $2.13 billion (Q4 2025) and $2.12 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 | CoreCivic | 2.97 Bn | 2.50 Bn | - | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 2.12 Bn |
| Dec 31, 2025 | 2.13 Bn |
| Sep 30, 2025 | 2.12 Bn |
| Jun 30, 2025 | 2.06 Bn |
| Mar 31, 2025 | 2.06 Bn |
| Dec 31, 2024 | 2.06 Bn |
| Sep 30, 2024 | 2.07 Bn |
| Jun 30, 2024 | 2.08 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 2.11 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 2.15 Bn |
| Dec 31, 2022 | 2.18 Bn |
| Sep 30, 2022 | 2.18 Bn |
| Jun 30, 2022 | 2.20 Bn |
| Mar 31, 2022 | 2.27 Bn |
| Dec 31, 2021 | 2.28 Bn |
| Sep 30, 2021 | 2.30 Bn |
CoreCivic 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=CXW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CXW", "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=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();