UL Solutions (ULS) Return on Sales [ROS] (2023 - 2026)
UL Solutions (ULS) posted Return on Sales [ROS] of 18.38% for Q2 2026, up 0.47 percentage points from 17.91% a year earlier and up 0.18 percentage points from the prior quarter.
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Analysis
UL Solutions (ULS) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at UL Solutions was 17.86%, up 1.16 percentage points year-over-year; for FY2025, it was 17.10%, up 1.00 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of +0.75 percentage points (FY2022 to FY2025).
- In prior years, UL Solutions' Return on Sales [ROS] was 16.10% in FY2024 (+2.36 pp), 13.74% in FY2023 (-2.61 pp) and 16.35% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of 11.92% in Q1 2023 to a high of 19.92% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +1.86 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 4.62 percentage points; the weakest was Q4 2025, with a drop of 0.61 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 18.21% (Q1 2026), 14.96% (Q4 2025) and 19.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 12.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.38% |
| Mar 31, 2026 | 18.21% |
| Dec 31, 2025 | 14.96% |
| Sep 30, 2025 | 19.92% |
| Jun 30, 2025 | 17.91% |
| Mar 31, 2025 | 15.46% |
| Dec 31, 2024 | 15.56% |
| Sep 30, 2024 | 17.78% |
| Jun 30, 2024 | 17.26% |
| Mar 31, 2024 | 13.58% |
| Dec 31, 2023 | 12.57% |
| Sep 30, 2023 | 13.17% |
| Jun 30, 2023 | 16.98% |
| Mar 31, 2023 | 11.92% |
API Access
UL Solutions 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=ULS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ULS", "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=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();