UL Solutions (ULS) EV to CFO (2024 - 2026)
UL Solutions' EV to CFO came in at 16.65 for Q3 2026, down 30.4% from 23.92 a year earlier and down 44.0% from the prior quarter.
UL Solutions (ULS) EV to CFO (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, UL Solutions reported EV to CFO of 15.31, down 31.9% year-over-year; for FY2025, it came in at 25.98, up 40.2% from FY2024.
- Going back by year, EV to CFO was 18.54 in FY2024.
- The Q3 2026 figure represents the lowest quarterly EV to CFO since Q2 2024.
- Year-over-year, EV to CFO increased in five of the last six quarters, with growth averaging 22.2%.
- Business Quant data shows ULS's EV to CFO at 29.74 (Q2 2026), 25.54 (Q1 2026) and 25.98 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn |
| 10 | Tetra Tech | 10.45 Bn | 9.56 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.65 |
| Jun 30, 2026 | 29.74 |
| Mar 31, 2026 | 25.54 |
| Dec 31, 2025 | 25.98 |
| Sep 30, 2025 | 23.92 |
| Jun 30, 2025 | 24.77 |
| Mar 31, 2025 | 20.53 |
| Dec 31, 2024 | 18.54 |
| Sep 30, 2024 | 18.38 |
| Jun 30, 2024 | 16.62 |
UL Solutions EV to CFO 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=ev-to-cfo&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();