Vermilion Energy (VET) Selling, General & Administrative (2009 - 2026)
Vermilion Energy's Selling, General & Administrative was -$43.01 billion in the quarter ended Jun 30, 2026, compared with -$23.58 billion a year earlier.
Vermilion Energy (VET) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vermilion Energy's Selling, General & Administrative was -$189.04 billion through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $70.46 million, down 1.1% from the prior year.
- Selling, General & Administrative shows a five-year compound annual growth rate of 8.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Selling, General & Administrative was $71.23 million in the year ended Dec 31, 2024, -$39.95 billion in the year ended Dec 31, 2023, -$29.91 billion in the year ended Dec 31, 2022 and $42.19 million in the year ended Dec 31, 2021 (-9.6%).
- Quarterly Selling, General & Administrative has moved between -$72.75 billion (the quarter ended Sep 30, 2025) and $11.06 million (the quarter ended Sep 30, 2022) over five years.
- Per Business Quant data, VET's Selling, General & Administrative in the three quarters before the quarter ended Jun 30, 2026 was -$19.97 billion (quarter ended Mar 31, 2026), -$53.31 billion (quarter ended Dec 31, 2025) and -$72.75 billion (quarter ended Sep 30, 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 | Vermilion Energy | 1.79 Bn | 1.64 Bn | - | -43.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.01 Bn |
| Mar 31, 2026 | -19.97 Bn |
| Dec 31, 2025 | -53.31 Bn |
| Sep 30, 2025 | -72.75 Bn |
| Jun 30, 2025 | -23.58 Bn |
| Mar 31, 2025 | -29.74 Bn |
| Dec 31, 2024 | -6.82 Bn |
| Sep 30, 2024 | -15.67 Bn |
| Jun 30, 2024 | -20.26 Bn |
| Mar 31, 2024 | -23.70 Bn |
| Dec 31, 2023 | -19.81 Bn |
| Sep 30, 2023 | -60.91 Bn |
| Jun 30, 2023 | -39.95 Bn |
| Mar 31, 2023 | -19.89 Bn |
| Dec 31, 2022 | -13.34 Bn |
| Sep 30, 2022 | 11.06 Mn |
| Sep 1, 2022 | 1.86 Mn |
| Jun 30, 2022 | -15.69 Bn |
| Mar 31, 2022 | -14.22 Bn |
| Dec 31, 2021 | -17.37 Bn |
Vermilion 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=VET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VET", "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=VET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();