UL Solutions (ULS) Total Liabilities (2023 - 2026)
UL Solutions' Total Liabilities came in at $1.5 billion for Q2 2026, down 17.1% from $1.81 billion a year earlier and down 7.4% from the prior quarter.
UL Solutions (ULS) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions' Total Liabilities was $1.63 billion, down 12.9% from FY2024.
- Going back by year, Total Liabilities was $1.87 billion in FY2024 (-9.2%) and $2.06 billion in FY2023.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2023.
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 12.6% over the last seven quarters.
- Business Quant data shows ULS's Total Liabilities at $1.62 billion (Q1 2026), $1.63 billion (Q4 2025) and $1.68 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 2.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Bn |
| Mar 31, 2026 | 1.62 Bn |
| Dec 31, 2025 | 1.63 Bn |
| Sep 30, 2025 | 1.68 Bn |
| Jun 30, 2025 | 1.81 Bn |
| Mar 31, 2025 | 1.89 Bn |
| Dec 31, 2024 | 1.87 Bn |
| Sep 30, 2024 | 1.98 Bn |
| Jun 30, 2024 | 1.96 Bn |
| Mar 31, 2024 | 2.14 Bn |
| Dec 31, 2023 | 2.06 Bn |
UL Solutions Total Liabilities 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=total-liabilities&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();