CoreCivic (CXW) Accumulated Expenses (2010 - 2025)
CoreCivic (CXW) posted Accumulated Expenses of $95.4 million for Q4 2025, up 24.39% on a QoQ basis from $76.7 million in Q4 2024, and up 24.39% year-over-year from $76.7 million in Q4 2024.
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Analysis
CoreCivic (CXW) Accumulated Expenses (2010 - 2025) Analysis & Trends
CoreCivic has reported Accumulated Expenses for 16 years, with the latest figure at $95.4 million in Q4 2025.
- On a quarterly basis, Accumulated Expenses rose 24.39% year-over-year to $95.4 million in Q4 2025; TTM through Dec 2025 was $95.4 million, a 24.39% increase from a year earlier, with the FY2025 full-year figure at $95.4 million, up 24.39% from the prior year.
- Accumulated Expenses was $95.4 million for Q4 2025 at CoreCivic, up from $76.7 million in the prior quarter.
- The five-year high for Accumulated Expenses was $95.4 million in Q4 2025, with the low at $49.3 million in Q4 2022.
- Average Accumulated Expenses over 5 years is $66.9 million, with a median of $60.9 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Accumulated Expenses slipped 4.91% in 2022, then climbed 25.92% in 2024.
- Over 5 years, Accumulated Expenses stood at $51.9 million in 2021, then slipped by 4.91% to $49.3 million in 2022, then rose by 23.45% to $60.9 million in 2023, then increased by 25.92% to $76.7 million in 2024, then gained by 24.39% to $95.4 million in 2025.
- The last three Accumulated Expenses figures came in at $95.4 million (Q4 2025), $76.7 million (Q4 2024), and $60.9 million (Q4 2023), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 95.42 Mn |
| Dec 31, 2024 | 76.71 Mn |
| Dec 31, 2023 | 60.92 Mn |
| Dec 31, 2022 | 49.35 Mn |
| Dec 31, 2021 | 51.89 Mn |
| Dec 31, 2020 | 43.56 Mn |
| Dec 31, 2019 | 51.85 Mn |
| Dec 31, 2018 | 44.94 Mn |
| Dec 31, 2017 | 43.37 Mn |
| Dec 31, 2016 | 33.43 Mn |
| Dec 31, 2015 | 37.14 Mn |
| Dec 31, 2014 | 65.00 Mn |
| Dec 31, 2013 | 58.81 Mn |
| Dec 31, 2012 | 42.35 Mn |
| Dec 31, 2011 | 49.80 Mn |
| Dec 31, 2010 | 47.29 Mn |
API Access
CoreCivic Accumulated Expenses 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=accumulated-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();