Geo (GEO) EBITDA (2009 - 2026)
Geo (GEO) reported EBITDA of $135.9 million for Q2 2026, up 29.8% from $104.71 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Geo (GEO) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Geo's EBITDA came in at $450.73 million, up 9.5% year-over-year; for FY2025, it came in at $389.53 million, down 10.7% from FY2024.
- EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, EBITDA came in at $436.2 million in FY2024 (-8.8%), $478.17 million in FY2023 (-7.5%), $516.87 million in FY2022 (+22.1%) and $423.26 million in FY2021 (+16.3%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q4 2022.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 53.4%); the low point was Q3 2025 (a decline of 35.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $123.13 million (Q1 2026), $117.97 million (Q4 2025) and $73.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Geo | 3.66 Bn | 3.27 Bn | - | 136.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.78 Mn |
| Mar 31, 2026 | 125.20 Mn |
| Dec 31, 2025 | 119.39 Mn |
| Sep 30, 2025 | 75.19 Mn |
| Jun 30, 2025 | 106.33 Mn |
| Mar 31, 2025 | 94.72 Mn |
| Dec 31, 2024 | 101.34 Mn |
| Sep 30, 2024 | 115.80 Mn |
| Jun 30, 2024 | 113.48 Mn |
| Mar 31, 2024 | 113.84 Mn |
| Dec 31, 2023 | 117.82 Mn |
| Sep 30, 2023 | 117.92 Mn |
| Jun 30, 2023 | 127.05 Mn |
| Mar 31, 2023 | 127.41 Mn |
| Dec 31, 2022 | 144.66 Mn |
| Sep 30, 2022 | 132.91 Mn |
| Jun 30, 2022 | 129.00 Mn |
| Mar 31, 2022 | 119.31 Mn |
| Dec 31, 2021 | 112.83 Mn |
| Sep 30, 2021 | 108.88 Mn |
API Access
Geo EBITDA 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=ebitda&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();