UL Solutions (ULS) Intangibles (2023 - 2026)
UL Solutions (ULS) recorded Intangibles of $41 million in Q2 2026, down 25.5% from $55 million a year earlier and down 6.8% from the prior quarter.
Analysis
UL Solutions (ULS) Intangibles (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions reported Intangibles of $48 million, down 17.2% from FY2024.
- Across earlier years, Intangibles came in at $58 million in FY2024 (-19.4%) and $72 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Intangibles in data going back to Q4 2023.
- On a year-over-year basis, Intangibles has declined for seven consecutive quarters, with an average decline of 18.0% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at $44 million (Q1 2026), $48 million (Q4 2025) and $52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 2.50 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 706.67 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 1.74 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 601.53 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 41.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 294.43 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 8.86 Bn |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 123.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.00 Mn |
| Mar 31, 2026 | 44.00 Mn |
| Dec 31, 2025 | 48.00 Mn |
| Sep 30, 2025 | 52.00 Mn |
| Jun 30, 2025 | 55.00 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 58.00 Mn |
| Sep 30, 2024 | 61.00 Mn |
| Jun 30, 2024 | 63.00 Mn |
| Mar 31, 2024 | 66.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
API Access
UL Solutions Intangibles 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=intangibles&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();