PBF Energy (PBF) Price to Earnings (2012 - 2026)
PBF Energy's (PBF) quarterly Price to Earnings came in at 5.94 in Q2 2026, up 101.27% on a YoY basis from 2.95 in Q2 2025, and down 79.05% quarter-over-quarter from 28.34 in Q1 2026.
PBF Energy (PBF) Price to Earnings (2012 - 2026) Analysis & Trends
PBF Energy (PBF) has reported Price to Earnings for 11 consecutive years, with 5.94 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 101.27% year-over-year to 5.94; the trailing twelve-month figure through Jun 2026 stood at 3.98 (up 256.31% YoY), and the FY2025 full-year result was 19.9, down 248.61% from the prior year.
- Price to Earnings slipped to 5.94 in Q2 2026 per PBF's latest filing, from 28.34 in the prior quarter.
- Across five years, Price to Earnings topped out at 64.21 in Q1 2024 and bottomed at 468.01 in Q2 2025.
- Historically, Price to Earnings has averaged 28.65 across 5 years, with a median of 4.96 in 2023.
- The sharpest annual moves came in 2024 and 2026: Price to Earnings plunged 1757.97% in 2024, then jumped 617.2% in 2026.
- Over 5 years, Price to Earnings stood at 8.11 in 2022, then tumbled by 1457.79% to 110.18 in 2023, then soared by 90.43% to 10.54 in 2024, then soared by 483.14% to 40.39 in 2025, then tumbled by 85.3% to 5.94 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 5.94, 28.34, and 40.39 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | 5.94 |
| Mar 31, 2026 | 28.34 |
| Dec 31, 2025 | 40.39 |
| Sep 30, 2025 | 20.51 |
| Jun 30, 2025 | -468.01 |
| Mar 31, 2025 | -5.48 |
| Dec 31, 2024 | -10.54 |
| Sep 30, 2024 | -12.42 |
| Jun 30, 2024 | -82.29 |
| Mar 31, 2024 | 64.21 |
| Dec 31, 2023 | -110.18 |
| Sep 30, 2023 | 8.35 |
| Jun 30, 2023 | 4.96 |
| Mar 31, 2023 | 14.22 |
| Dec 31, 2022 | 8.11 |
| Sep 30, 2022 | 3.97 |
| Jun 30, 2022 | 2.86 |
| Dec 31, 2017 | 15.57 |
| Sep 30, 2017 | 9.03 |
| Jun 30, 2017 | -24.27 |
PBF Energy Price to Earnings 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-earnings&ticker=PBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PBF", "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-earnings&ticker=PBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();