UL Solutions (ULS) Dividend Yield (2024 - 2026)
UL Solutions (ULS) recorded Dividend Yield of 0.86% in Q3 2026, up 0.14 percentage points from 0.72% a year earlier and up 0.32 percentage points from the prior quarter.
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Analysis
UL Solutions (ULS) Dividend Yield (2024 - 2026) Analysis & Trends
For FY2025, UL Solutions reported Dividend Yield of 0.66%, down 0.35 percentage points from FY2024.
- Across earlier years, Dividend Yield came in at 1.00% in FY2024.
- The Q3 2026 figure is the highest quarterly Dividend Yield since Q1 2025.
- On a year-over-year basis, Dividend Yield rose in 1 of the last six quarters, with an average year-over-year change of -2.41 percentage points.
- Per Business Quant, the preceding three quarters came in at 0.53% (Q2 2026), 0.62% (Q1 2026) and 0.66% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn |
| 10 | Tetra Tech | 10.45 Bn | 9.56 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.86% |
| Jun 30, 2026 | 0.53% |
| Mar 31, 2026 | 0.62% |
| Dec 31, 2025 | 0.66% |
| Sep 30, 2025 | 0.72% |
| Jun 30, 2025 | 0.70% |
| Mar 31, 2025 | 0.90% |
| Dec 31, 2024 | 1.00% |
| Sep 30, 2024 | 7.05% |
| Jun 30, 2024 | 8.18% |
API Access
UL Solutions Dividend Yield 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=dividend-yield&ticker=ULS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();