PBF Energy (PBF) Operating Expenses (2012 - 2026)
PBF Energy (PBF) reported Operating Expenses of $10.41 billion for Q2 2026, up 40.0% from $7.43 billion a year earlier and up 36.8% from the prior quarter.
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Analysis
PBF Energy (PBF) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PBF Energy's Operating Expenses came in at $32.39 billion, up 2.8% year-over-year; for FY2025, it came in at $29.39 billion, down 13.1% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a four-year compound annual growth rate of 2.5% (FY2021 to FY2025).
- By year, Operating Expenses came in at $33.81 billion in FY2024 (-4.4%), $35.37 billion in FY2023 (-17.1%), $42.68 billion in FY2022 (+60.1%) and $26.66 billion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q3 2022.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 4.6%.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 40.0%); the low point was Q2 2023 (a decline of 37.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.6 billion (Q1 2026), $7.01 billion (Q4 2025) and $7.37 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 137.97 Bn | 121.73 Bn | 9.27 Bn | 45.02 Bn |
| 2 | Valero Energy | 134.23 Bn | 111.17 Bn | 5.47 Bn | 266.00 Mn |
| 3 | HF Sinclair | 23.03 Bn | 17.20 Bn | 1.57 Bn | 9.22 Bn |
| 4 | PBF Energy | 10.79 Bn | 8.35 Bn | 1.15 Bn | 10.41 Bn |
| 5 | Sunoco | 10.43 Bn | 4.80 Bn | 1.46 Bn | 13.68 Bn |
| 6 | Ultrapar Holdings | 8.35 Bn | 1.76 Bn | 912.61 Mn | -124.47 Mn |
| 7 | Cvr Energy | 6.36 Bn | 3.93 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Delek US Holdings | 4.96 Bn | 2.45 Bn | 365.10 Mn | 3.78 Bn |
| 9 | Icahn Enterprises | 4.49 Bn | -1.27 Bn | - | 3.36 Bn |
| 10 | Par Pacific Holdings | 4.36 Bn | 3.68 Bn | 852.68 Mn | 2.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.41 Bn |
| Mar 31, 2026 | 7.60 Bn |
| Dec 31, 2025 | 7.01 Bn |
| Sep 30, 2025 | 7.37 Bn |
| Jun 30, 2025 | 7.43 Bn |
| Mar 31, 2025 | 7.58 Bn |
| Dec 31, 2024 | 7.73 Bn |
| Sep 30, 2024 | 8.77 Bn |
| Jun 30, 2024 | 8.81 Bn |
| Mar 31, 2024 | 8.50 Bn |
| Dec 31, 2023 | 9.19 Bn |
| Sep 30, 2023 | 9.66 Bn |
| Jun 30, 2023 | 7.77 Bn |
| Mar 31, 2023 | 8.76 Bn |
| Dec 31, 2022 | 9.89 Bn |
| Sep 30, 2022 | 11.36 Bn |
| Jun 30, 2022 | 12.37 Bn |
| Mar 31, 2022 | 9.05 Bn |
| Dec 31, 2021 | 7.95 Bn |
| Sep 30, 2021 | 7.09 Bn |
API Access
PBF Energy Operating Expenses 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=operating-expenses&ticker=PBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();