CoreCivic (CXW) Selling, General & Administrative (2009 - 2026)
CoreCivic (CXW) reported Selling, General & Administrative of $44.13 million for Q2 2026, up 0.6% from $43.88 million a year earlier and up 1.0% from the prior quarter.
CoreCivic (CXW) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CoreCivic's Selling, General & Administrative came in at $177.48 million, up 9.8% year-over-year; for FY2025, it was $169.58 million, up 11.5% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $152.08 million in FY2024 (+11.8%), $136.08 million in FY2023 (+6.6%), $127.7 million in FY2022 (-5.9%) and $135.77 million in FY2021 (+9.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $30.19 million in Q3 2022 and a high of $45.29 million in Q3 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last five quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 42.1%); the low point was Q3 2022 (a decline of 12.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.68 million (Q1 2026), $44.39 million (Q4 2025) and $45.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.80 Bn | 109.09 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 33.10 Bn | 32.29 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 16.89 Bn | 13.93 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.57 Bn | 16.11 Bn | 582.90 Mn | 326.77 Mn |
| 6 | Gartner | 15.27 Bn | 8.96 Bn | 1.19 Bn | 764.59 Mn |
| 7 | UL Solutions | 14.70 Bn | 13.46 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Aramark | 13.90 Bn | 11.85 Bn | 430.34 Mn | 78.63 Mn |
| 9 | Rentokil Initial | 11.45 Bn | 4.96 Bn | - | - |
| 10 | CoreCivic | 2.99 Bn | 2.51 Bn | - | 44.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.13 Mn |
| Mar 31, 2026 | 43.68 Mn |
| Dec 31, 2025 | 44.39 Mn |
| Sep 30, 2025 | 45.29 Mn |
| Jun 30, 2025 | 43.88 Mn |
| Mar 31, 2025 | 36.02 Mn |
| Dec 31, 2024 | 40.54 Mn |
| Sep 30, 2024 | 41.16 Mn |
| Jun 30, 2024 | 33.91 Mn |
| Mar 31, 2024 | 36.47 Mn |
| Dec 31, 2023 | 36.87 Mn |
| Sep 30, 2023 | 33.93 Mn |
| Jun 30, 2023 | 32.61 Mn |
| Mar 31, 2023 | 32.68 Mn |
| Dec 31, 2022 | 34.89 Mn |
| Sep 30, 2022 | 30.19 Mn |
| Jun 30, 2022 | 31.51 Mn |
| Mar 31, 2022 | 31.10 Mn |
| Dec 31, 2021 | 38.41 Mn |
| Sep 30, 2021 | 34.60 Mn |
CoreCivic Selling, General & Administrative 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=selling-general-and-administrative&ticker=CXW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CXW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();