UL Solutions (ULS) Price to Book (2024 - 2026)
UL Solutions' Price to Book was 12.70 in Q2 2026, down 3.5% from 13.16 a year earlier and down 1.5% from the prior quarter.
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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.
- Quarterly Price to Book has moved between 10.72 (Q4 2024) and 13.16 (Q2 2025) over five years.
- Compared with a year earlier, Price to Book was higher in four of the last five quarters, with growth averaging 10.4%.
- Per Business Quant data, ULS's Price to Book in the three quarters before Q2 2026 was 12.89 (Q1 2026), 12.25 (Q4 2025) and 11.67 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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_KEYimport 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();