UL Solutions (ULS) Return on Equity [ROE] (2023 - 2026)
UL Solutions (ULS) posted Return on Equity [ROE] of 35.72% for Q2 2026, up 2.63 percentage points from 33.09% a year earlier and up 7.51 percentage points from the prior quarter.
UL Solutions (ULS) Return on Equity [ROE] (2023 - 2026) Analysis & Trends
For FY2025, UL Solutions' Return on Equity [ROE] came in at 31.01%, down 11.87 percentage points from FY2024.
- In prior years, UL Solutions' Return on Equity [ROE] was 42.88% in FY2024 (+11.43 pp) and 31.45% in FY2023.
- The Q2 2026 figure stands as the highest quarterly Return on Equity [ROE] since Q1 2025.
- On a year-over-year basis, Return on Equity [ROE] increased in two of the last seven quarters, with an average year-over-year change of -3.60 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 28.21% (Q1 2026), 27.45% (Q4 2025) and 30.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 24.31% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 40.29% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 9.88% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 37.83% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 11.50% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 35.72% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 23.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.72% |
| Mar 31, 2026 | 28.21% |
| Dec 31, 2025 | 27.45% |
| Sep 30, 2025 | 30.78% |
| Jun 30, 2025 | 33.09% |
| Mar 31, 2025 | 37.18% |
| Dec 31, 2024 | 37.77% |
| Sep 30, 2024 | 38.29% |
| Jun 30, 2024 | 38.80% |
| Mar 31, 2024 | 40.85% |
| Dec 31, 2023 | 29.44% |
UL Solutions Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();