Geo (GEO) EBITDA Margin (2009 - 2026)
Geo (GEO) posted EBITDA Margin of 18.56% for Q2 2026, up 2.10 percentage points from 16.46% a year earlier and up 1.10 percentage points from the prior quarter.
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Analysis
Geo (GEO) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Geo was 15.94%, down 0.85 percentage points year-over-year; for FY2025, it was 14.80%, down 3.19 percentage points from FY2024.
- Annual EBITDA Margin has declined for three consecutive years, with a five-year change of -0.69 percentage points (FY2020 to FY2025).
- In prior years, Geo's EBITDA Margin was 18.00% in FY2024 (-1.82 pp), 19.82% in FY2023 (-1.93 pp), 21.75% in FY2022 (+2.99 pp) and 18.76% in FY2021 (+3.26 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q3 2024.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of -1.38 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2021, with a gain of 7.38 percentage points; the weakest was Q3 2025, with a drop of 8.12 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 17.46% (Q1 2026), 16.67% (Q4 2025) and 10.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 20.09% |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 27.84% |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 32.67% |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 11.71% |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 21.79% |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 24.02% |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 6.95% |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 25.36% |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Geo | 3.66 Bn | 3.27 Bn | - | 18.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.68% |
| Mar 31, 2026 | 17.75% |
| Dec 31, 2025 | 16.87% |
| Sep 30, 2025 | 11.02% |
| Jun 30, 2025 | 16.71% |
| Mar 31, 2025 | 15.67% |
| Dec 31, 2024 | 16.68% |
| Sep 30, 2024 | 19.20% |
| Jun 30, 2024 | 18.69% |
| Mar 31, 2024 | 18.79% |
| Dec 31, 2023 | 19.37% |
| Sep 30, 2023 | 19.56% |
| Jun 30, 2023 | 21.39% |
| Mar 31, 2023 | 20.95% |
| Dec 31, 2022 | 23.31% |
| Sep 30, 2022 | 21.55% |
| Jun 30, 2022 | 21.93% |
| Mar 31, 2022 | 21.65% |
| Dec 31, 2021 | 20.24% |
| Sep 30, 2021 | 19.54% |
API Access
Geo EBITDA Margin 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-margin&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();