UL Solutions (ULS) EBITDA (2023 - 2026)
UL Solutions (ULS) reported EBITDA of $196 million for Q2 2026, up 5.9% from $185 million a year earlier and up 5.9% from the prior quarter.
UL Solutions (ULS) EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, UL Solutions' EBITDA came in at $752 million, up 11.6% year-over-year; for FY2025, it came in at $710 million, up 12.0% from FY2024.
- EBITDA has a three-year compound annual growth rate of 9.1% (FY2022 to FY2025).
- By year, EBITDA came in at $634 million in FY2024 (+21.5%), $522 million in FY2023 (-4.6%) and $547 million in FY2022.
- Five-year quarterly EBITDA spans a low of $111 million in Q1 2023 and a high of $202 million in Q3 2025.
- Year over year, EBITDA has now increased in each of the last ten quarters, with growth averaging 17.2% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 4.3% (Q4 2025) and 37.3% (Q3 2024) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $185 million (Q1 2026), $169 million (Q4 2025) and $202 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 196.00 Mn |
| Mar 31, 2026 | 185.00 Mn |
| Dec 31, 2025 | 169.00 Mn |
| Sep 30, 2025 | 202.00 Mn |
| Jun 30, 2025 | 185.00 Mn |
| Mar 31, 2025 | 154.00 Mn |
| Dec 31, 2024 | 162.00 Mn |
| Sep 30, 2024 | 173.00 Mn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 132.00 Mn |
| Dec 31, 2023 | 129.00 Mn |
| Sep 30, 2023 | 126.00 Mn |
| Jun 30, 2023 | 155.00 Mn |
| Mar 31, 2023 | 111.00 Mn |
UL Solutions 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=ebitda&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();