Ultrapar Holdings (UGP) EV to EBITDA (2009 - 2026)
Ultrapar Holdings' (UGP) quarterly EV to EBITDA came in at 5.06 in Q2 2026, down 33.15% year-over-year from 7.58 in Q2 2025, and down 51.33% quarter-over-quarter from 10.41 in Q1 2026.
Ultrapar Holdings (UGP) EV to EBITDA (2009 - 2026) Analysis & Trends
Ultrapar Holdings (UGP) has reported EV to EBITDA for 18 consecutive years, with 5.06 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 33.15% year-over-year to 5.06 in Q2 2026; TTM through Jun 2026 was 1.98, a 40.54% increase from a year earlier, with the FY2025 full-year figure at 18.79, up 868.27% from the prior year.
- EV to EBITDA was 5.06 for Q2 2026 at Ultrapar Holdings, down from 10.41 in the prior quarter.
- Over five years, EV to EBITDA peaked at 16.15 in Q1 2024 and troughed at 1.43 in Q4 2022.
- A 5-year average of 8.42 and a median of 9.8 in 2023 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA slumped 87.44% in 2022 and soared 595.26% in 2023, its largest moves.
- Over 5 years, EV to EBITDA stood at 1.43 in 2022, then jumped by 595.26% to 9.95 in 2023, then tumbled by 80.5% to 1.94 in 2024, then soared by 501.49% to 11.67 in 2025, then plunged by 56.6% to 5.06 in 2026.
- The last three EV to EBITDA figures came in at 5.06 (Q2 2026), 10.41 (Q1 2026), and 11.67 (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 | 5.06 |
| Mar 31, 2026 | 10.41 |
| Dec 31, 2025 | 11.67 |
| Sep 30, 2025 | 10.07 |
| Jun 30, 2025 | 7.58 |
| Mar 31, 2025 | 13.23 |
| Dec 31, 2024 | 1.94 |
| Jun 30, 2024 | 12.51 |
| Mar 31, 2024 | 16.15 |
| Dec 31, 2023 | 9.95 |
| Jun 30, 2023 | 9.65 |
| Mar 31, 2023 | 4.09 |
| Dec 31, 2022 | 1.43 |
| Sep 30, 2022 | 6.43 |
| Jun 30, 2022 | 3.96 |
| Mar 31, 2022 | 10.58 |
| Dec 31, 2021 | 11.39 |
| Sep 30, 2021 | 4.74 |
| Jun 30, 2021 | 25.00 |
| Mar 31, 2021 | 19.20 |
Ultrapar Holdings 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=UGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=UGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();