Geo (GEO) Capital Expenditures (2009 - 2026)
Geo's Capital Expenditures was $20.6 million in Q2 2026, down 44.0% from $36.81 million a year earlier and down 5.2% from the prior quarter.
Geo (GEO) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Geo's Capital Expenditures was $172.26 million through Jun 30, 2026, up 60.8% year-over-year; for FY2025, it was $197.51 million, up 151.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $78.69 million in FY2024 (+7.8%), $73 million in FY2023 (-18.9%), $90.03 million in FY2022 (+29.7%) and $69.39 million in FY2021 (-36.2%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q3 2024.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 69.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2025 (growth of 400.2%); the worst was Q3 2021 (a decline of 57.0%).
- Per Business Quant data, GEO's Capital Expenditures in the three quarters before Q2 2026 was $21.73 million (Q1 2026), $36.23 million (Q4 2025) and $93.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.54 Bn | 105.82 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 87.11 Bn | 86.19 Bn | 1.55 Bn | 107.53 Mn |
| 3 | Iron Mountain | 33.86 Bn | 33.05 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 16.10 Bn | 15.65 Bn | 569.95 Mn | 6.43 Mn |
| 6 | UL Solutions | 15.12 Bn | 13.87 Bn | 417.00 Mn | 69.00 Mn |
| 7 | Aramark | 14.72 Bn | 12.67 Bn | 430.34 Mn | 112.37 Mn |
| 8 | Gartner | 14.66 Bn | 8.35 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Geo | 3.64 Bn | 3.25 Bn | - | 20.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.60 Mn |
| Mar 31, 2026 | 21.73 Mn |
| Dec 31, 2025 | 36.23 Mn |
| Sep 30, 2025 | 93.70 Mn |
| Jun 30, 2025 | 36.81 Mn |
| Mar 31, 2025 | 30.77 Mn |
| Dec 31, 2024 | 20.78 Mn |
| Sep 30, 2024 | 18.74 Mn |
| Jun 30, 2024 | 24.41 Mn |
| Mar 31, 2024 | 14.77 Mn |
| Dec 31, 2023 | 19.43 Mn |
| Sep 30, 2023 | 21.96 Mn |
| Jun 30, 2023 | 17.85 Mn |
| Mar 31, 2023 | 13.77 Mn |
| Dec 31, 2022 | 17.79 Mn |
| Sep 30, 2022 | 36.17 Mn |
| Jun 30, 2022 | 22.29 Mn |
| Mar 31, 2022 | 13.77 Mn |
| Dec 31, 2021 | 12.01 Mn |
| Sep 30, 2021 | 13.04 Mn |
Geo Capital Expenditures 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=capital-expenditures&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();