UL Solutions (ULS) Price to Book (2024 - 2026)
UL Solutions' Price to Book was 7.63 in Q3 2026, down 34.6% from 11.67 a year earlier and down 39.9% from the prior quarter.
Analysis
UL Solutions (ULS) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Price to Book at UL Solutions came in at 12.25, up 14.2% from FY2024.
- In earlier years, Price to Book was 10.72 in FY2024.
- The Q3 2026 figure marks the lowest quarterly Price to Book in data going back to Q2 2024.
- Compared with a year earlier, Price to Book was higher in four of the last six quarters, with growth averaging 2.9%.
- Per Business Quant data, ULS's Price to Book in the three quarters before Q3 2026 was 12.70 (Q2 2026), 12.89 (Q1 2026) and 12.25 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.63 |
| Jun 30, 2026 | 12.70 |
| Mar 31, 2026 | 12.89 |
| Dec 31, 2025 | 12.25 |
| Sep 30, 2025 | 11.67 |
| Jun 30, 2025 | 13.16 |
| Mar 31, 2025 | 11.46 |
| Dec 31, 2024 | 10.72 |
| Sep 30, 2024 | 11.01 |
| Jun 30, 2024 | 10.74 |
API Access
UL Solutions Price to Book 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=price-to-book&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();