Ultrapar Holdings (UGP) Price to Book (2009 - 2026)
Ultrapar Holdings' (UGP) quarterly Price to Book came in at 1.36 in Q2 2026, up 24.14% year-over-year from 1.09 in Q2 2025, and down 19.02% quarter-over-quarter from 1.67 in Q1 2026.
Ultrapar Holdings (UGP) Price to Book (2009 - 2026) Analysis & Trends
Ultrapar Holdings (UGP) has reported Price to Book for 18 consecutive years, with 1.36 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 24.14% year-over-year to 1.36 in Q2 2026; TTM through Jun 2026 was 1.36, a 24.14% increase from a year earlier, with the FY2025 full-year figure at 1.23, up 17.21% from the prior year.
- Price to Book was 1.36 for Q2 2026 at Ultrapar Holdings, down from 1.67 in the prior quarter.
- Over five years, Price to Book peaked at 2.14 in Q1 2024 and troughed at 1.05 in Q4 2024.
- A 5-year average of 1.4 and a median of 1.27 in 2023 frame the typical range for Price to Book.
- Across the five-year window, Price to Book surged 82.98% in 2023 and tumbled 49.84% in 2024, its largest moves.
- Over 5 years, Price to Book stood at 1.14 in 2022, then surged by 82.98% to 2.08 in 2023, then plunged by 49.84% to 1.05 in 2024, then grew by 17.21% to 1.23 in 2025, then advanced by 10.68% to 1.36 in 2026.
- The last three Price to Book figures came in at 1.36 (Q2 2026), 1.67 (Q1 2026), and 1.23 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marathon Petroleum | 109.49 Bn | 108.36 Bn | 9.27 Bn |
| 2 | Valero Energy | 108.59 Bn | 103.98 Bn | 5.47 Bn |
| 3 | HF Sinclair | 18.97 Bn | 16.77 Bn | 1.57 Bn |
| 4 | Sunoco | 10.01 Bn | 9.24 Bn | 1.46 Bn |
| 5 | PBF Energy | 8.52 Bn | 7.77 Bn | 1.15 Bn |
| 6 | Ultrapar Holdings | 8.23 Bn | 6.52 Bn | 912.61 Mn |
| 7 | Cvr Energy | 5.25 Bn | 4.73 Bn | 117.00 Mn |
| 8 | Icahn Enterprises | 5.06 Bn | 3.09 Bn | 198.00 Mn |
| 9 | Delek US Holdings | 4.49 Bn | 4.10 Bn | 365.10 Mn |
| 10 | Par Pacific Holdings | 3.96 Bn | 3.81 Bn | 852.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 |
| Mar 31, 2026 | 1.67 |
| Dec 31, 2025 | 1.23 |
| Sep 30, 2025 | 1.29 |
| Jun 30, 2025 | 1.09 |
| Mar 31, 2025 | 1.23 |
| Dec 31, 2024 | 1.05 |
| Jun 30, 2024 | 1.49 |
| Mar 31, 2024 | 2.14 |
| Dec 31, 2023 | 2.08 |
| Jun 30, 2023 | 1.68 |
| Mar 31, 2023 | 1.25 |
| Dec 31, 2022 | 1.14 |
| Sep 30, 2022 | 1.10 |
| Jun 30, 2022 | 1.11 |
| Mar 31, 2022 | 1.57 |
| Dec 31, 2021 | 1.53 |
| Sep 30, 2021 | 1.50 |
| Jun 30, 2021 | 2.16 |
| Mar 31, 2021 | 2.28 |
Ultrapar Holdings 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=UGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "UGP", "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=UGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();