Geo (GEO) Operating Income (2009 - 2026)
Geo's Operating Income came in at $101.7 million for Q2 2026, up 41.3% from $71.97 million a year earlier and up 13.9% from the prior quarter.
Geo (GEO) Operating Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Geo reported Operating Income of $315.54 million, up 11.4% year-over-year; for FY2025, it came in at $257.49 million, down 16.9% from FY2024.
- Operating Income has declined in each of the last three years, though with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Operating Income was $309.98 million in FY2024 (-12.0%), $352.39 million in FY2023 (-8.2%), $383.95 million in FY2022 (+33.3%) and $288.08 million in FY2021 (+25.6%).
- The Q2 2026 figure represents the highest quarterly Operating Income since Q4 2022.
- Year-over-year, Operating Income has increased for three consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q4 2021 (growth of 100.0%), and the weakest in Q3 2025 (a decline of 50.6%).
- Business Quant data shows GEO's Operating Income at $89.3 million (Q1 2026), $83.83 million (Q4 2025) and $40.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 711.89 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 201.36 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 150.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 215.59 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Geo | 3.66 Bn | 3.27 Bn | - | 101.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.70 Mn |
| Mar 31, 2026 | 89.30 Mn |
| Dec 31, 2025 | 83.83 Mn |
| Sep 30, 2025 | 40.70 Mn |
| Jun 30, 2025 | 71.97 Mn |
| Mar 31, 2025 | 60.98 Mn |
| Dec 31, 2024 | 67.90 Mn |
| Sep 30, 2024 | 82.37 Mn |
| Jun 30, 2024 | 80.15 Mn |
| Mar 31, 2024 | 79.56 Mn |
| Dec 31, 2023 | 83.76 Mn |
| Sep 30, 2023 | 83.59 Mn |
| Jun 30, 2023 | 92.38 Mn |
| Mar 31, 2023 | 92.66 Mn |
| Dec 31, 2022 | 109.22 Mn |
| Sep 30, 2022 | 98.12 Mn |
| Jun 30, 2022 | 95.07 Mn |
| Mar 31, 2022 | 81.53 Mn |
| Dec 31, 2021 | 76.02 Mn |
| Sep 30, 2021 | 74.02 Mn |
Geo Operating 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=operating-income&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();