UL Solutions (ULS) Other Accumulated Expenses (2023 - 2026)
UL Solutions' Other Accumulated Expenses came in at $105 million for Q2 2026, up 118.8% from $48 million a year earlier and up 14.1% from the prior quarter.
UL Solutions (ULS) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions' Other Accumulated Expenses was $79 million, up 46.3% from FY2024.
- Going back by year, Other Accumulated Expenses was $54 million in FY2024 (-6.9%) and $58 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 18.7% over the last seven quarters.
- Business Quant data shows ULS's Other Accumulated Expenses at $92 million (Q1 2026), $79 million (Q4 2025) and $47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.00 Mn |
| Mar 31, 2026 | 92.00 Mn |
| Dec 31, 2025 | 79.00 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | 48.00 Mn |
| Mar 31, 2025 | 57.00 Mn |
| Dec 31, 2024 | 54.00 Mn |
| Sep 30, 2024 | 57.00 Mn |
| Jun 30, 2024 | 82.00 Mn |
| Mar 31, 2024 | 81.00 Mn |
| Dec 31, 2023 | 58.00 Mn |
UL Solutions Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();