UL Solutions (ULS) Market Capitalization (2024 - 2026)
UL Solutions' Market Capitalization was $20.58 billion in Q2 2026, up 40.5% from $14.64 billion a year earlier and up 19.4% from the prior quarter.
Analysis
UL Solutions (ULS) Market Capitalization (2024 - 2026) Analysis & Trends
For FY2025, Market Capitalization at UL Solutions came in at $15.85 billion, up 58.8% from FY2024.
- In earlier years, Market Capitalization was $9.98 billion in FY2024.
- The Q2 2026 figure marks the highest quarterly Market Capitalization in data going back to Q2 2024.
- Compared with a year earlier, Market Capitalization has increased for five straight quarters, with growth averaging 54.0% over the last five quarters.
- Per Business Quant data, ULS's Market Capitalization in the three quarters before Q2 2026 was $17.23 billion (Q1 2026), $15.85 billion (Q4 2025) and $14.24 billion (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 | 20.58 Bn |
| Mar 31, 2026 | 17.23 Bn |
| Dec 31, 2025 | 15.85 Bn |
| Sep 30, 2025 | 14.24 Bn |
| Jun 30, 2025 | 14.64 Bn |
| Mar 31, 2025 | 11.28 Bn |
| Dec 31, 2024 | 9.98 Bn |
| Sep 30, 2024 | 9.86 Bn |
| Jun 30, 2024 | 8.44 Bn |
API Access
UL Solutions Market Capitalization 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=market-capitalization&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();