CoreCivic (CXW) Operating Expenses (2009 - 2026)
CoreCivic's Operating Expenses was $615.92 million in Q2 2026, up 30.1% from $473.33 million a year earlier and up 13.1% from the prior quarter.
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Analysis
CoreCivic (CXW) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, CoreCivic's Operating Expenses was $2.24 billion through Jun 30, 2026, up 24.2% year-over-year; for FY2025, it came in at $1.99 billion, up 12.2% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.78 billion in FY2024 (+2.8%), $1.73 billion in FY2023 (+3.2%), $1.68 billion in FY2022 (+0.1%) and $1.67 billion in FY2021 (-4.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 12.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 30.1%); the worst was Q4 2021 (a decline of 10.3%).
- Per Business Quant data, CXW's Operating Expenses in the three quarters before Q2 2026 was $544.73 million (Q1 2026), $548.18 million (Q4 2025) and $529.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 1.66 Bn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 866.81 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 528.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 1.30 Bn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 4.84 Bn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | CoreCivic | 2.90 Bn | 2.43 Bn | - | 615.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 615.92 Mn |
| Mar 31, 2026 | 544.73 Mn |
| Dec 31, 2025 | 548.18 Mn |
| Sep 30, 2025 | 529.71 Mn |
| Jun 30, 2025 | 473.33 Mn |
| Mar 31, 2025 | 441.27 Mn |
| Dec 31, 2024 | 441.14 Mn |
| Sep 30, 2024 | 447.33 Mn |
| Jun 30, 2024 | 441.79 Mn |
| Mar 31, 2024 | 446.30 Mn |
| Dec 31, 2023 | 437.56 Mn |
| Sep 30, 2023 | 446.49 Mn |
| Jun 30, 2023 | 426.24 Mn |
| Mar 31, 2023 | 418.26 Mn |
| Dec 31, 2022 | 419.43 Mn |
| Sep 30, 2022 | 433.83 Mn |
| Jun 30, 2022 | 414.67 Mn |
| Mar 31, 2022 | 407.76 Mn |
| Dec 31, 2021 | 407.31 Mn |
| Sep 30, 2021 | 411.96 Mn |
API Access
CoreCivic Operating 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=operating-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();