Geo (GEO) Consolidated Net Income (2009 - 2026)
Geo's Consolidated Net Income was $47.46 million in Q2 2026, up 63.2% from $29.07 million a year earlier and up 23.9% from the prior quarter.
Geo (GEO) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Geo's Consolidated Net Income was $291.46 million through Jun 30, 2026, up 222.4% year-over-year; for FY2025, it came in at $254.31 million, up 697.3% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, Consolidated Net Income was $31.9 million in FY2024 (-70.2%), $107.18 million in FY2023 (-37.6%), $171.69 million in FY2022 (+122.3%) and $77.23 million in FY2021 (-31.5%).
- Quarterly Consolidated Net Income has moved between -$49.82 million (Q4 2021) and $173.92 million (Q3 2025) over five years.
- Compared with a year earlier, Consolidated Net Income has increased for four straight quarters, with growth averaging 111.5% over the last seven quarters.
- The best year-over-year quarter for Consolidated Net Income over five years was Q3 2025 (growth of 561.6%); the worst was Q2 2023 (a decline of 45.0%).
- Per Business Quant data, GEO's Consolidated Net Income in the three quarters before Q2 2026 was $38.31 million (Q1 2026), $31.77 million (Q4 2025) and $173.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.80 Bn | 109.09 Bn | 6.13 Bn | 2.39 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 551.71 Mn |
| 3 | Iron Mountain | 33.10 Bn | 32.29 Bn | 1.07 Bn | 106.10 Mn |
| 4 | APi | 16.89 Bn | 13.93 Bn | 703.00 Mn | 99.00 Mn |
| 5 | Rollins | 16.57 Bn | 16.11 Bn | 582.90 Mn | 157.89 Mn |
| 6 | Gartner | 15.27 Bn | 8.96 Bn | 1.19 Bn | 275.50 Mn |
| 7 | UL Solutions | 14.70 Bn | 13.46 Bn | 417.00 Mn | 254.00 Mn |
| 8 | Aramark | 13.90 Bn | 11.85 Bn | 430.34 Mn | 97.83 Mn |
| 9 | Rentokil Initial | 11.45 Bn | 4.96 Bn | - | - |
| 10 | Geo | 3.58 Bn | 3.19 Bn | - | 47.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.46 Mn |
| Mar 31, 2026 | 38.31 Mn |
| Dec 31, 2025 | 31.77 Mn |
| Sep 30, 2025 | 173.92 Mn |
| Jun 30, 2025 | 29.07 Mn |
| Mar 31, 2025 | 19.54 Mn |
| Dec 31, 2024 | 15.51 Mn |
| Sep 30, 2024 | 26.29 Mn |
| Jun 30, 2024 | -32.56 Mn |
| Mar 31, 2024 | 22.66 Mn |
| Dec 31, 2023 | 25.16 Mn |
| Sep 30, 2023 | 24.50 Mn |
| Jun 30, 2023 | 29.53 Mn |
| Mar 31, 2023 | 27.99 Mn |
| Dec 31, 2022 | 41.53 Mn |
| Sep 30, 2022 | 38.31 Mn |
| Jun 30, 2022 | 53.67 Mn |
| Mar 31, 2022 | 38.18 Mn |
| Dec 31, 2021 | -49.82 Mn |
| Sep 30, 2021 | 34.64 Mn |
Geo Consolidated Net Income 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=consolidated-net-income&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();