CoreCivic (CXW) Total Non-Current Liabilities (2009 - 2026)
CoreCivic (CXW) posted Total Non-Current Liabilities of $1.85 billion for Q2 2026, up 31.1% from $1.41 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
CoreCivic (CXW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, CoreCivic's Total Non-Current Liabilities came in at $1.68 billion, up 23.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In prior years, CoreCivic's Total Non-Current Liabilities was $1.36 billion in FY2024 (-9.1%), $1.5 billion in FY2023 (-9.8%), $1.66 billion in FY2022 (-14.9%) and $1.95 billion in FY2021 (-6.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 9.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2026, with growth of 34.4%; the weakest was Q1 2023, with a decline of 24.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.81 billion (Q1 2026), $1.68 billion (Q4 2025) and $1.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 22.86 Bn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 1.83 Bn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 6.26 Bn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 1.41 Bn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 6.90 Bn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 9.92 Bn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | -6.00 Mn |
| 10 | CoreCivic | 2.90 Bn | 2.43 Bn | - | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.68 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.34 Bn |
| Dec 31, 2024 | 1.36 Bn |
| Sep 30, 2024 | 1.36 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.46 Bn |
| Dec 31, 2023 | 1.50 Bn |
| Sep 30, 2023 | 1.48 Bn |
| Jun 30, 2023 | 1.45 Bn |
| Mar 31, 2023 | 1.49 Bn |
| Dec 31, 2022 | 1.66 Bn |
| Sep 30, 2022 | 1.71 Bn |
| Jun 30, 2022 | 1.74 Bn |
| Mar 31, 2022 | 1.96 Bn |
| Dec 31, 2021 | 1.95 Bn |
| Sep 30, 2021 | 2.09 Bn |
API Access
CoreCivic Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CXW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();