UL Solutions (ULS) Receivables - Other (2023 - 2026)
UL Solutions (ULS) posted Receivables - Other of $239 million for Q2 2026, up 6.7% from $224 million a year earlier and up 7.7% from the prior quarter.
UL Solutions (ULS) Receivables - Other (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions' Receivables - Other came in at $204 million, up 12.1% from FY2024.
- In prior years, UL Solutions' Receivables - Other was $182 million in FY2024 (+1.7%) and $179 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables - Other in data going back to Q4 2023.
- On a year-over-year basis, Receivables - Other has increased in each of the last seven quarters, with growth averaging 7.1% over the last seven quarters.
- According to Business Quant data, Receivables - Other for the three prior quarters was $222 million (Q1 2026), $204 million (Q4 2025) and $237 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 239.00 Mn |
| Mar 31, 2026 | 222.00 Mn |
| Dec 31, 2025 | 204.00 Mn |
| Sep 30, 2025 | 237.00 Mn |
| Jun 30, 2025 | 224.00 Mn |
| Mar 31, 2025 | 203.00 Mn |
| Dec 31, 2024 | 182.00 Mn |
| Sep 30, 2024 | 223.00 Mn |
| Jun 30, 2024 | 206.00 Mn |
| Mar 31, 2024 | 193.00 Mn |
| Dec 31, 2023 | 179.00 Mn |
UL Solutions Receivables - Other 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=receivables-other&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();