UL Solutions (ULS) Cash & Equivalents (2023 - 2026)
UL Solutions (ULS) reported Cash & Equivalents of $434 million for Q2 2026, up 59.6% from $272 million a year earlier and up 68.2% from the prior quarter.
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Analysis
UL Solutions (ULS) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions posted Cash & Equivalents of $295 million, down 1.0% from FY2024.
- By year, Cash & Equivalents came in at $298 million in FY2024 (-5.4%) and $315 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q4 2023.
- Year over year, Cash & Equivalents gained in 1 of the last seven quarters, with an average decline of 0.3%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $258 million (Q1 2026), $295 million (Q4 2025) and $255 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 230.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 434.00 Mn |
| Mar 31, 2026 | 258.00 Mn |
| Dec 31, 2025 | 295.00 Mn |
| Sep 30, 2025 | 255.00 Mn |
| Jun 30, 2025 | 272.00 Mn |
| Mar 31, 2025 | 267.00 Mn |
| Dec 31, 2024 | 298.00 Mn |
| Sep 30, 2024 | 327.00 Mn |
| Jun 30, 2024 | 295.00 Mn |
| Mar 31, 2024 | 344.00 Mn |
| Dec 31, 2023 | 315.00 Mn |
API Access
UL Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=ULS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();