Eqt (EQT) Selling, General & Administrative (2009 - 2026)
Eqt (EQT) reported Selling, General & Administrative of $106.44 million for Q2 2026, up 30.5% from $81.59 million a year earlier and up 11.2% from the prior quarter.
Eqt (EQT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eqt's Selling, General & Administrative came in at $409.21 million, up 10.7% year-over-year; for FY2025, it was $380.07 million, up 12.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $336.72 million in FY2024 (+42.6%), $236.17 million in FY2023 (-6.5%), $252.65 million in FY2022 (+28.7%) and $196.32 million in FY2021 (+12.3%).
- Five-year quarterly Selling, General & Administrative spans a low of $49.11 million in Q3 2021 and a high of $108.3 million in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last 11 quarters, with growth averaging 26.2% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 60.8%); the low point was Q1 2023 (a decline of 24.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $95.75 million (Q1 2026), $108.3 million (Q4 2025) and $98.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 2.48 Bn |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 2.91 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | 1.31 Bn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | - |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | - |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 188.00 Mn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | -3.44 Bn |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | 538.00 Mn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 114.95 Mn |
| 10 | Eqt | 31.34 Bn | 34.16 Bn | 1.42 Bn | 106.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.44 Mn |
| Mar 31, 2026 | 95.75 Mn |
| Dec 31, 2025 | 108.30 Mn |
| Sep 30, 2025 | 98.72 Mn |
| Jun 30, 2025 | 81.59 Mn |
| Mar 31, 2025 | 91.46 Mn |
| Dec 31, 2024 | 107.99 Mn |
| Sep 30, 2024 | 88.47 Mn |
| Jun 30, 2024 | 67.21 Mn |
| Mar 31, 2024 | 73.05 Mn |
| Dec 31, 2023 | 67.17 Mn |
| Sep 30, 2023 | 56.94 Mn |
| Jun 30, 2023 | 60.16 Mn |
| Mar 31, 2023 | 51.89 Mn |
| Dec 31, 2022 | 57.04 Mn |
| Sep 30, 2022 | 67.23 Mn |
| Jun 30, 2022 | 59.28 Mn |
| Mar 31, 2022 | 69.10 Mn |
| Dec 31, 2021 | 52.34 Mn |
| Sep 30, 2021 | 49.11 Mn |
Eqt 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=EQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EQT", "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=EQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();