UL Solutions (ULS) EV to EBITDA (2024 - 2026)
UL Solutions' (ULS) EV to EBITDA was 16.15 for Q3 2026, down 19.0% from 19.94 a year earlier and down 39.8% from the prior quarter.
UL Solutions (ULS) EV to EBITDA (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, UL Solutions' EV to EBITDA came in at 14.85, down 20.8% year-over-year; for FY2025, it came in at 21.96, up 43.3% from FY2024.
- By year, EV to EBITDA came in at 15.32 in FY2024.
- The Q3 2026 figure ranks as the lowest quarterly EV to EBITDA since Q4 2024.
- Year over year, EV to EBITDA gained in five of the last six quarters, with growth averaging 26.1%.
- Per Business Quant data, the three quarters before Q3 2026 came in at 26.82 (Q2 2026), 22.92 (Q1 2026) and 21.96 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - |
| 10 | Tetra Tech | 10.60 Bn | 9.71 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.15 |
| Jun 30, 2026 | 26.82 |
| Mar 31, 2026 | 22.92 |
| Dec 31, 2025 | 21.96 |
| Sep 30, 2025 | 19.94 |
| Jun 30, 2025 | 21.35 |
| Mar 31, 2025 | 16.81 |
| Dec 31, 2024 | 15.32 |
| Sep 30, 2024 | 15.90 |
| Jun 30, 2024 | 14.73 |
UL Solutions EV to EBITDA 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-ebitda&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();