CoreCivic (CXW) Buildings (2010 - 2025)
CoreCivic (CXW) reported Buildings of $3.33 billion for Q4 2025, up 3.7% from $3.21 billion a year earlier.
Analysis
CoreCivic (CXW) Buildings (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, CoreCivic's Buildings record includes 16 quarters.
- Buildings has increased for three consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Buildings came in at $3.21 billion in FY2024 (+0.5%), $3.19 billion in FY2023 (+0.8%), $3.17 billion in FY2022 (-0.2%) and $3.18 billion in FY2021 (+0.1%).
- The Q4 2025 figure ranks as the highest quarterly Buildings since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 155.29 Bn | 114.58 Bn | 6.13 Bn |
| 2 | Cintas | 90.32 Bn | 89.40 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.74 Bn | 31.93 Bn | 1.07 Bn |
| 4 | Rollins | 16.99 Bn | 16.53 Bn | 582.90 Mn |
| 5 | APi | 16.55 Bn | 13.59 Bn | 703.00 Mn |
| 6 | Gartner | 15.59 Bn | 9.28 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.72 Bn | 13.48 Bn | 417.00 Mn |
| 8 | Aramark | 13.75 Bn | 11.69 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.02 Bn | - |
| 10 | CoreCivic | 2.91 Bn | 2.44 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.33 Bn |
| Dec 31, 2024 | 3.21 Bn |
| Dec 31, 2023 | 3.19 Bn |
| Dec 31, 2022 | 3.17 Bn |
| Dec 31, 2021 | 3.18 Bn |
| Dec 31, 2020 | 3.17 Bn |
| Dec 31, 2019 | 3.41 Bn |
| Dec 31, 2018 | 3.49 Bn |
| Dec 31, 2017 | 3.22 Bn |
| Dec 31, 2016 | 3.51 Bn |
| Dec 31, 2015 | 3.44 Bn |
| Dec 31, 2014 | 3.05 Bn |
| Dec 31, 2013 | 3.06 Bn |
| Dec 31, 2012 | 3.03 Bn |
| Dec 31, 2011 | 2.96 Bn |
| Dec 31, 2010 | 2.87 Bn |
API Access
CoreCivic Buildings 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=buildings&ticker=CXW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();