UL Solutions (ULS) Goodwill (2023 - 2026)
UL Solutions' Goodwill came in at $642 million for Q2 2026, down 2.1% from $656 million a year earlier and down 0.2% from the prior quarter.
Analysis
UL Solutions (ULS) Goodwill (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions' Goodwill was $656 million, up 3.6% from FY2024.
- Goodwill carries a three-year compound annual growth rate of 0.5% (FY2022 to FY2025).
- Going back by year, Goodwill was $633 million in FY2024 (+1.6%), $623 million in FY2023 (-3.7%) and $647 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Goodwill since Q1 2025.
- Year-over-year, Goodwill increased in six of the last seven quarters, with growth averaging 1.7%.
- Business Quant data shows ULS's Goodwill at $643 million (Q1 2026), $656 million (Q4 2025) and $655 million (Q3 2025) in the three quarters before Q2 2026.
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 | 642.00 Mn |
| Mar 31, 2026 | 643.00 Mn |
| Dec 31, 2025 | 656.00 Mn |
| Sep 30, 2025 | 655.00 Mn |
| Jun 30, 2025 | 656.00 Mn |
| Mar 31, 2025 | 641.00 Mn |
| Dec 31, 2024 | 633.00 Mn |
| Sep 30, 2024 | 651.00 Mn |
| Jun 30, 2024 | 628.00 Mn |
| Mar 31, 2024 | 618.00 Mn |
| Dec 31, 2023 | 623.00 Mn |
API Access
UL Solutions Goodwill 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=goodwill&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();