UL Solutions (ULS) Change in Cash (2023 - 2026)
UL Solutions' Change in Cash was $582 million in Q3 2026, compared with -$17 million a year earlier and up 230.7% from the prior quarter.
UL Solutions (ULS) Change in Cash (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, UL Solutions' Change in Cash was $761 million through Sep 30, 2026; for FY2025, it was -$3 million.
- In earlier years, Change in Cash was -$17 million in FY2024, -$7 million in FY2023 and -$1.01 billion in FY2022.
- The Q3 2026 figure marks the highest quarterly Change in Cash in data going back to Q1 2023.
- Per Business Quant data, ULS's Change in Cash in the three quarters before Q3 2026 was $176 million (Q2 2026), -$37 million (Q1 2026) and $40 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 155.01 Bn | 112.94 Bn | 5.98 Bn | 2.67 Bn |
| 2 | Cintas | 91.35 Bn | 90.43 Bn | 1.55 Bn | -45.42 Mn |
| 3 | Iron Mountain | 33.36 Bn | 32.55 Bn | 1.06 Bn | -16.63 Mn |
| 4 | APi | 18.58 Bn | 15.80 Bn | 770.00 Mn | -478.00 Mn |
| 5 | Rollins | 18.48 Bn | 18.03 Bn | 582.90 Mn | 19.97 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn | 582.00 Mn |
| 7 | Aramark | 14.06 Bn | 12.00 Bn | 430.34 Mn | 27.89 Mn |
| 8 | Rentokil Initial | 12.08 Bn | 5.60 Bn | - | - |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn | 137.29 Mn |
| 10 | Booz Allen Hamilton Holding | 10.29 Bn | 7.81 Bn | 1.45 Bn | -206.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 582.00 Mn |
| Jun 30, 2026 | 176.00 Mn |
| Mar 31, 2026 | -37.00 Mn |
| Dec 31, 2025 | 40.00 Mn |
| Sep 30, 2025 | -17.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | -31.00 Mn |
| Dec 31, 2024 | -29.00 Mn |
| Sep 30, 2024 | 32.00 Mn |
| Jun 30, 2024 | -49.00 Mn |
| Mar 31, 2024 | 29.00 Mn |
| Dec 31, 2023 | -142.00 Mn |
| Sep 30, 2023 | 44.00 Mn |
| Jun 30, 2023 | -5.00 Mn |
| Mar 31, 2023 | 96.00 Mn |
UL Solutions Change in Cash 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=change-in-cash&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();