Diamondback Energy (FANG) Selling, General & Administrative (2011 - 2026)
Diamondback Energy's Selling, General & Administrative came in at $72 million for Q2 2026, up 7.5% from $67 million a year earlier but down 8.9% from the prior quarter.
Diamondback Energy (FANG) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diamondback Energy reported Selling, General & Administrative of $299 million, up 14.6% year-over-year; for FY2025, it was $288 million, up 35.2% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $213 million in FY2024 (+42.0%), $150 million in FY2023 (+4.2%), $144 million in FY2022 (-1.4%) and $146 million in FY2021 (+65.9%).
- The five-year range for quarterly Selling, General & Administrative is $34 million (Q3 2022) to $79 million (Q1 2026).
- Year-over-year, Selling, General & Administrative has increased for 11 consecutive quarters, with growth averaging 37.5% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2021 (growth of 95.8%), and the weakest in Q4 2022 (a decline of 25.5%).
- Business Quant data shows FANG's Selling, General & Administrative at $79 million (Q1 2026), $78 million (Q4 2025) and $70 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 686.62 Bn | 644.76 Bn | - | 2.68 Bn |
| 2 | Chevron | 416.14 Bn | 383.18 Bn | 31.26 Bn | 1.23 Bn |
| 3 | Shell | 291.71 Bn | 151.98 Bn | - | - |
| 4 | TotalEnergies SE | 192.78 Bn | 63.86 Bn | 31,614.00 | - |
| 5 | Eni Spa | 167.56 Bn | 107.19 Bn | - | - |
| 6 | Conocophillips | 165.53 Bn | 138.24 Bn | 12.81 Bn | 188.00 Mn |
| 7 | Equinor Asa | 108.87 Bn | 21.72 Bn | 4.49 Bn | 3.37 Bn |
| 8 | Canadian Natural Resources | 101.39 Bn | 95.29 Bn | 9.35 Bn | 117.87 Mn |
| 9 | Phillips 66 | 97.45 Bn | 81.24 Bn | 10.69 Bn | 625.00 Mn |
| 10 | Diamondback Energy | 50.12 Bn | 48.82 Bn | - | 83.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 83.00 Mn |
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | 79.00 Mn |
| Dec 31, 2025 | 78.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 67.00 Mn |
| Mar 31, 2025 | 73.00 Mn |
| Dec 31, 2024 | 72.00 Mn |
| Sep 30, 2024 | 49.00 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | 46.00 Mn |
| Dec 31, 2023 | 39.00 Mn |
| Sep 30, 2023 | 34.00 Mn |
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 40.00 Mn |
| Dec 31, 2022 | 35.00 Mn |
| Sep 30, 2022 | 34.00 Mn |
| Jun 30, 2022 | 39.00 Mn |
| Mar 31, 2022 | 36.00 Mn |
| Dec 31, 2021 | 47.00 Mn |
Diamondback Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=FANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();