UL Solutions (ULS) Net Cash Flow (2023 - 2026)
UL Solutions' Net Cash Flow came in at $177 million for Q2 2026, compared with $4 million a year earlier.
Analysis
UL Solutions (ULS) Net Cash Flow (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, UL Solutions reported Net Cash Flow of $168 million; for FY2024, it came in at $6 million.
- Going back by year, Net Cash Flow was -$2 million in FY2023 and -$982 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Net Cash Flow in data going back to Q1 2023.
- Business Quant data shows ULS's Net Cash Flow at -$36 million (Q1 2026), $41 million (Q4 2025) and -$14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 813.51 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 107.73 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | -52.87 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 208.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | -7.67 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 29.01 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 177.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | -167.62 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 7.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.00 Mn |
| Mar 31, 2026 | -36.00 Mn |
| Dec 31, 2025 | 41.00 Mn |
| Sep 30, 2025 | -14.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | -31.00 Mn |
| Dec 31, 2024 | -11.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | -43.00 Mn |
| Mar 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | -150.00 Mn |
| Sep 30, 2023 | 52.00 Mn |
| Mar 31, 2023 | 96.00 Mn |
API Access
UL Solutions Net Cash Flow 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=net-cash-flow&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();