UL Solutions (ULS) Payout Ratio (2023 - 2026)
UL Solutions' (ULS) Payout Ratio was 0.22 for Q2 2026, down 30.2% from 0.31 a year earlier and down 28.7% from the prior quarter.
Analysis
UL Solutions (ULS) Payout Ratio (2023 - 2026) Analysis & Trends
For FY2025, Payout Ratio at UL Solutions was 0.32, up 4.3% from FY2024.
- By year, Payout Ratio came in at 0.31 in FY2024 (-88.3%), 2.62 in FY2023 (-52.1%) and 5.46 in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Payout Ratio in data going back to Q4 2023.
- Year over year, Payout Ratio gained in two of the last seven quarters, with an average decline of 53.6%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.31 (Q1 2026), 0.32 (Q4 2025) and 0.30 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.22 |
| Mar 31, 2026 | 0.31 |
| Dec 31, 2025 | 0.32 |
| Sep 30, 2025 | 0.30 |
| Jun 30, 2025 | 0.31 |
| Mar 31, 2025 | 0.30 |
| Dec 31, 2024 | 0.31 |
| Sep 30, 2024 | 2.29 |
| Jun 30, 2024 | 2.57 |
| Mar 31, 2024 | 2.62 |
| Dec 31, 2023 | 2.62 |
API Access
UL Solutions Payout Ratio 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=payout-ratio&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();