CoreCivic (CXW) Non Operating Interest Expenses (2009 - 2026)
CoreCivic (CXW) recorded Non Operating Interest Expenses of $22.28 million in Q2 2026, up 77.7% from $12.54 million a year earlier and up 26.0% from the prior quarter.
CoreCivic (CXW) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, CoreCivic's Non Operating Interest Expenses came in at $74.42 million as of Jun 30, 2026, up 25.2% year-over-year; for FY2025, it came in at $62.23 million, down 7.7% from FY2024.
- Annual Non Operating Interest Expenses has declined for four straight years, with a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $67.42 million in FY2024 (-7.6%), $72.96 million in FY2023 (-14.1%), $84.97 million in FY2022 (-0.7%) and $85.54 million in FY2021 (+2.7%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses since Q1 2022.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 77.7% in Q2 2026, against a decline of 26.7% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.68 million (Q1 2026), $17.83 million (Q4 2025) and $16.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 36.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 22.27 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | CoreCivic | 2.90 Bn | 2.43 Bn | - | 22.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.28 Mn |
| Mar 31, 2026 | 17.68 Mn |
| Dec 31, 2025 | 17.83 Mn |
| Sep 30, 2025 | 16.63 Mn |
| Jun 30, 2025 | 12.54 Mn |
| Mar 31, 2025 | 15.23 Mn |
| Dec 31, 2024 | 15.69 Mn |
| Sep 30, 2024 | 16.00 Mn |
| Jun 30, 2024 | 17.11 Mn |
| Mar 31, 2024 | 18.61 Mn |
| Dec 31, 2023 | 17.66 Mn |
| Sep 30, 2023 | 17.89 Mn |
| Jun 30, 2023 | 18.27 Mn |
| Mar 31, 2023 | 19.15 Mn |
| Dec 31, 2022 | 19.59 Mn |
| Sep 30, 2022 | 20.79 Mn |
| Jun 30, 2022 | 21.67 Mn |
| Mar 31, 2022 | 22.92 Mn |
| Dec 31, 2021 | 23.24 Mn |
| Sep 30, 2021 | 20.65 Mn |
CoreCivic Non Operating Interest 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=non-operating-interest-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();