UL Solutions (ULS) Return on Capital Employed [ROCE] (2024 - 2026)
UL Solutions' Return on Capital Employed [ROCE] came in at 25.89% for Q2 2026, up 2.80 percentage points from 23.09% a year earlier but down 1.14 percentage points from the prior quarter.
UL Solutions (ULS) Return on Capital Employed [ROCE] (2024 - 2026) Analysis & Trends
For FY2025, UL Solutions' Return on Capital Employed [ROCE] was 24.85%, up 2.07 percentage points from FY2024.
- Going back by year, Return on Capital Employed [ROCE] was 22.78% in FY2024.
- The five-year range for quarterly Return on Capital Employed [ROCE] is 19.21% (Q2 2024) to 27.02% (Q1 2026).
- Year-over-year, Return on Capital Employed [ROCE] has increased for six consecutive quarters, with an average year-over-year change of +3.23 percentage points over the last six quarters.
- Business Quant data shows ULS's Return on Capital Employed [ROCE] at 27.02% (Q1 2026), 24.28% (Q4 2025) and 24.02% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.24 Bn | 110.52 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 89.29 Bn | 88.38 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.88 Bn | 32.07 Bn | 1.07 Bn | 7.54% |
| 4 | Rollins | 16.92 Bn | 16.46 Bn | 582.90 Mn | 30.79% |
| 5 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 8.75% |
| 6 | Gartner | 15.46 Bn | 9.15 Bn | 1.19 Bn | 29.65% |
| 7 | UL Solutions | 14.65 Bn | 13.41 Bn | 417.00 Mn | 25.89% |
| 8 | Aramark | 13.77 Bn | 11.72 Bn | 430.34 Mn | 7.98% |
| 9 | Rentokil Initial | 11.53 Bn | 5.05 Bn | - | - |
| 10 | Tetra Tech | 9.43 Bn | 8.54 Bn | 243.21 Mn | 20.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.89% |
| Mar 31, 2026 | 27.02% |
| Dec 31, 2025 | 24.28% |
| Sep 30, 2025 | 24.02% |
| Jun 30, 2025 | 23.09% |
| Mar 31, 2025 | 23.59% |
| Dec 31, 2024 | 22.02% |
| Sep 30, 2024 | 20.97% |
| Jun 30, 2024 | 19.21% |
| Mar 31, 2024 | 19.66% |
UL Solutions Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();