Blue Dolphin Energy (BDCO) Operating Expenses (2010 - 2026)
Blue Dolphin Energy's Operating Expenses came in at $120.53 million for Q2 2026, up 110.7% from $57.21 million a year earlier and up 95.8% from the prior quarter.
Blue Dolphin Energy (BDCO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Blue Dolphin Energy reported Operating Expenses of $326.42 million, up 8.5% year-over-year; for FY2025, it was $280.91 million, down 12.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 117.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $321.83 million in FY2024 (-10.5%), $359.66 million in FY2023, $6.99 million in FY2022 (-8.2%) and $7.61 million in FY2021 (+31.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2014.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 138.2%), and the weakest in Q4 2022 (a decline of 31.6%).
- Business Quant data shows BDCO's Operating Expenses at $61.55 million (Q1 2026), $68.89 million (Q4 2025) and $75.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 118.57 Bn | 108.97 Bn | 9.27 Bn | 45.02 Bn |
| 2 | Valero Energy | 116.99 Bn | 97.20 Bn | 5.47 Bn | 266.00 Mn |
| 3 | HF Sinclair | 20.15 Bn | 14.38 Bn | 1.57 Bn | 9.22 Bn |
| 4 | Sunoco | 10.25 Bn | 4.63 Bn | 1.46 Bn | 13.68 Bn |
| 5 | PBF Energy | 9.64 Bn | 7.33 Bn | 1.15 Bn | 10.41 Bn |
| 6 | Ultrapar Holdings | 7.95 Bn | 1.73 Bn | 912.61 Mn | -124.47 Mn |
| 7 | Cvr Energy | 5.51 Bn | 3.30 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Icahn Enterprises | 4.74 Bn | -1.02 Bn | - | 3.36 Bn |
| 9 | Delek US Holdings | 4.54 Bn | 2.27 Bn | 365.10 Mn | 3.78 Bn |
| 10 | Blue Dolphin Energy | 185.03 Mn | 150.58 Mn | 25.10 Mn | 120.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.53 Mn |
| Mar 31, 2026 | 61.55 Mn |
| Dec 31, 2025 | 68.89 Mn |
| Sep 30, 2025 | 75.45 Mn |
| Jun 30, 2025 | 57.21 Mn |
| Mar 31, 2025 | 79.35 Mn |
| Dec 31, 2024 | 77.44 Mn |
| Sep 30, 2024 | 86.91 Mn |
| Jun 30, 2024 | 76.29 Mn |
| Mar 31, 2024 | 81.19 Mn |
| Dec 31, 2023 | 98.93 Mn |
| Sep 30, 2023 | 93.61 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.09 Mn |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 1.62 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 3.05 Mn |
| Sep 30, 2021 | 1.55 Mn |
Blue Dolphin 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=BDCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BDCO", "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=BDCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();