SM Energy (SM) Selling, General & Administrative (2009 - 2026)
SM Energy (SM) reported Selling, General & Administrative of $79 million for Q2 2026, up 88.1% from $42 million a year earlier but down 54.6% from the prior quarter.
SM Energy (SM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SM Energy's Selling, General & Administrative came in at $332.56 million, up 110.9% year-over-year; for FY2025, it was $161 million, up 16.7% from FY2024.
- Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $138 million in FY2024 (+14.0%), $121 million in FY2023 (+5.6%), $114.56 million in FY2022 (+2.3%) and $111.95 million in FY2021 (+12.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $25 million in Q1 2022 and a high of $174 million in Q1 2026.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 67.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2026 (growth of 346.2%); the low point was Q4 2022 (a decline of 11.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $174 million (Q1 2026), $40.25 million (Q4 2025) and $39.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | 2.48 Bn |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 2.91 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | 1.31 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 188.00 Mn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | -3.44 Bn |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | 538.00 Mn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | 114.95 Mn |
| 10 | SM Energy | 8.37 Bn | 6.77 Bn | 1.94 Bn | 79.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.00 Mn |
| Mar 31, 2026 | 174.00 Mn |
| Dec 31, 2025 | 40.25 Mn |
| Sep 30, 2025 | 39.32 Mn |
| Jun 30, 2025 | 42.00 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | 41.57 Mn |
| Sep 30, 2024 | 35.14 Mn |
| Jun 30, 2024 | 31.11 Mn |
| Mar 31, 2024 | 30.18 Mn |
| Dec 31, 2023 | 36.58 Mn |
| Sep 30, 2023 | 29.26 Mn |
| Jun 30, 2023 | 27.50 Mn |
| Mar 31, 2023 | 27.67 Mn |
| Dec 31, 2022 | 32.84 Mn |
| Sep 30, 2022 | 28.43 Mn |
| Jun 30, 2022 | 28.29 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 37.06 Mn |
| Sep 30, 2021 | 25.53 Mn |
SM 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=SM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SM", "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=SM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();