Rollins (ROL) Return on Sales [ROS] (2009 - 2026)
Rollins (ROL) posted Return on Sales [ROS] of 18.67% for Q2 2026, down 1.17 percentage points from 19.84% a year earlier but up 2.62 percentage points from the prior quarter.
Rollins (ROL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Rollins was 18.65%, down 0.49 percentage points year-over-year; for FY2025, it came in at 19.30%, down 0.09 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +1.90 percentage points (FY2020 to FY2025).
- In prior years, Rollins' Return on Sales [ROS] was 19.39% in FY2024 (+0.42 pp), 18.98% in FY2023 (+0.68 pp), 18.30% in FY2022 (-0.16 pp) and 18.46% in FY2021 (+1.06 pp).
- Quarterly Return on Sales [ROS] has run from a low of 15.81% in Q1 2022 to a high of 21.93% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -0.43 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 1.63 percentage points; the weakest was Q3 2021, with a drop of 4.51 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 16.05% (Q1 2026), 17.53% (Q4 2025) and 21.93% (Q3 2025).
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 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 12.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.67% |
| Mar 31, 2026 | 16.05% |
| Dec 31, 2025 | 17.53% |
| Sep 30, 2025 | 21.93% |
| Jun 30, 2025 | 19.84% |
| Mar 31, 2025 | 17.34% |
| Dec 31, 2024 | 18.10% |
| Sep 30, 2024 | 20.93% |
| Jun 30, 2024 | 20.45% |
| Mar 31, 2024 | 17.70% |
| Dec 31, 2023 | 18.44% |
| Sep 30, 2023 | 21.08% |
| Jun 30, 2023 | 18.86% |
| Mar 31, 2023 | 17.06% |
| Dec 31, 2022 | 18.13% |
| Sep 30, 2022 | 19.93% |
| Jun 30, 2022 | 18.86% |
| Mar 31, 2022 | 15.81% |
| Dec 31, 2021 | 16.50% |
| Sep 30, 2021 | 19.51% |
Rollins 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=ROL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ROL", "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=ROL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();