Geo (GEO) Return on Sales [ROS] (2009 - 2026)
Geo's Return on Sales [ROS] was 13.89% in Q2 2026, up 2.58 percentage points from 11.31% a year earlier and up 1.23 percentage points from the prior quarter.
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Analysis
Geo (GEO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Geo's Return on Sales [ROS] was 11.16% through Jun 30, 2026, down 0.39 percentage points year-over-year; for FY2025, it was 9.78%, down 3.00 percentage points from FY2024.
- Return on Sales [ROS] has now declined for three consecutive years, though with a five-year change of +0.02 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 12.79% in FY2024 (-1.81 pp), 14.60% in FY2023 (-1.55 pp), 16.15% in FY2022 (+3.39 pp) and 12.77% in FY2021 (+3.00 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q2 2023.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -1.20 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 7.06 percentage points); the worst was Q3 2025 (a drop of 7.69 percentage points).
- Per Business Quant data, GEO's Return on Sales [ROS] in the three quarters before Q2 2026 was 12.66% (Q1 2026), 11.85% (Q4 2025) and 5.96% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Geo | 4.15 Bn | 3.76 Bn | - | 13.89% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.89% |
| Mar 31, 2026 | 12.66% |
| Dec 31, 2025 | 11.85% |
| Sep 30, 2025 | 5.96% |
| Jun 30, 2025 | 11.31% |
| Mar 31, 2025 | 10.09% |
| Dec 31, 2024 | 11.17% |
| Sep 30, 2024 | 13.66% |
| Jun 30, 2024 | 13.20% |
| Mar 31, 2024 | 13.14% |
| Dec 31, 2023 | 13.77% |
| Sep 30, 2023 | 13.87% |
| Jun 30, 2023 | 15.56% |
| Mar 31, 2023 | 15.23% |
| Dec 31, 2022 | 17.60% |
| Sep 30, 2022 | 15.91% |
| Jun 30, 2022 | 16.16% |
| Mar 31, 2022 | 14.79% |
| Dec 31, 2021 | 13.63% |
| Sep 30, 2021 | 13.28% |
API Access
Geo Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();