Diamondback Energy (FANG) Operating Expenses (2011 - 2026)
Diamondback Energy's Operating Expenses came in at $3.05 billion for Q2 2026, up 20.1% from $2.54 billion a year earlier but down 26.0% from the prior quarter.
Diamondback Energy (FANG) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diamondback Energy reported Operating Expenses of $16.02 billion, up 75.1% year-over-year; for FY2025, it came in at $13.76 billion, up 106.3% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $6.67 billion in FY2024 (+73.6%), $3.84 billion in FY2023 (+22.6%), $3.14 billion in FY2022 (+12.1%) and $2.8 billion in FY2021 (-66.3%).
- The five-year range for quarterly Operating Expenses is $711 million (Q4 2021) to $6.16 billion (Q4 2025).
- Year-over-year, Operating Expenses has increased for 18 consecutive quarters, with growth averaging 90.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 167.9%), and the weakest in Q3 2021 (a decline of 62.2%).
- Business Quant data shows FANG's Operating Expenses at $4.12 billion (Q1 2026), $6.16 billion (Q4 2025) and $2.69 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 745.14 Bn | 701.62 Bn | - | 96.59 Bn |
| 2 | Chevron | 442.75 Bn | 414.87 Bn | 33.45 Bn | 53.37 Bn |
| 3 | Shell | 310.19 Bn | 239.94 Bn | 30.13 Bn | 8.70 Bn |
| 4 | TotalEnergies SE | 197.65 Bn | 78.24 Bn | 61.77 Bn | 46.44 Bn |
| 5 | Conocophillips | 176.25 Bn | 148.96 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 119.64 Bn | 34.10 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 115.95 Bn | 103.74 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 113.35 Bn | 110.35 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Suncor Energy | 95.50 Bn | 81.24 Bn | - | - |
| 10 | Diamondback Energy | 56.82 Bn | 55.92 Bn | - | 3.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Bn |
| Mar 31, 2026 | 4.12 Bn |
| Dec 31, 2025 | 6.16 Bn |
| Sep 30, 2025 | 2.69 Bn |
| Jun 30, 2025 | 2.54 Bn |
| Mar 31, 2025 | 2.38 Bn |
| Dec 31, 2024 | 2.30 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.33 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 919.00 Mn |
| Mar 31, 2023 | 900.00 Mn |
| Dec 31, 2022 | 774.00 Mn |
| Sep 30, 2022 | 823.00 Mn |
| Jun 30, 2022 | 790.00 Mn |
| Mar 31, 2022 | 748.00 Mn |
| Dec 31, 2021 | 711.00 Mn |
| Sep 30, 2021 | 746.00 Mn |
Diamondback 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=FANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FANG", "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=FANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();