CoreCivic (CXW) Total Current Liabilities (2009 - 2026)
CoreCivic's Total Current Liabilities was $505.69 million in Q2 2026, up 66.4% from $303.96 million a year earlier and up 65.8% from the prior quarter.
CoreCivic (CXW) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at CoreCivic came in at $368.87 million, up 29.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $285.8 million in FY2024 (-3.9%), $297.45 million in FY2023 (-34.0%), $450.75 million in FY2022 (+32.2%) and $340.97 million in FY2021 (+8.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q3 2019.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 13.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2026 (growth of 66.4%); the worst was Q2 2023 (a decline of 42.4%).
- Per Business Quant data, CXW's Total Current Liabilities in the three quarters before Q2 2026 was $304.97 million (Q1 2026), $368.87 million (Q4 2025) and $334.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | CoreCivic | 3.19 Bn | 2.72 Bn | - | 505.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 505.69 Mn |
| Mar 31, 2026 | 304.97 Mn |
| Dec 31, 2025 | 368.87 Mn |
| Sep 30, 2025 | 334.39 Mn |
| Jun 30, 2025 | 303.96 Mn |
| Mar 31, 2025 | 266.63 Mn |
| Dec 31, 2024 | 285.80 Mn |
| Sep 30, 2024 | 274.70 Mn |
| Jun 30, 2024 | 266.47 Mn |
| Mar 31, 2024 | 364.55 Mn |
| Dec 31, 2023 | 297.45 Mn |
| Sep 30, 2023 | 304.37 Mn |
| Jun 30, 2023 | 273.64 Mn |
| Mar 31, 2023 | 271.94 Mn |
| Dec 31, 2022 | 450.75 Mn |
| Sep 30, 2022 | 473.23 Mn |
| Jun 30, 2022 | 474.81 Mn |
| Mar 31, 2022 | 363.08 Mn |
| Dec 31, 2021 | 340.97 Mn |
| Sep 30, 2021 | 387.36 Mn |
CoreCivic Total 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-current-liabilities&ticker=CXW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();