UL Solutions (ULS) Non-Current Assets (2023 - 2026)
UL Solutions (ULS) reported Non-Current Assets of $1.89 billion for Q2 2026, down 1.5% from $1.91 billion a year earlier and down 1.2% from the prior quarter.
UL Solutions (ULS) Non-Current Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions posted Non-Current Assets of $1.92 billion, up 2.2% from FY2024.
- By year, Non-Current Assets came in at $1.88 billion in FY2024 (+5.4%) and $1.78 billion in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q1 2025.
- Year over year, Non-Current Assets gained in six of the last seven quarters, with growth averaging 3.0%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.91 billion (Q1 2026), $1.92 billion (Q4 2025) and $1.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 10.46 Bn |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 2.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Bn |
| Mar 31, 2026 | 1.91 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.90 Bn |
| Jun 30, 2025 | 1.91 Bn |
| Mar 31, 2025 | 1.88 Bn |
| Dec 31, 2024 | 1.88 Bn |
| Sep 30, 2024 | 1.90 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | 1.77 Bn |
| Dec 31, 2023 | 1.78 Bn |
UL Solutions Non-Current Assets 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=non-current-assets&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();