Vermilion Energy (VET) Assets (2009 - 2026)
Vermilion Energy (VET) reported Assets of $3.97 billion for the quarter ended Jun 30, 2026, compared with $4.84 million a year earlier and down 1.9% from the prior quarter.
Vermilion Energy (VET) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Vermilion Energy posted Assets of $3.82 billion, up 407.9% from the prior year.
- Assets has a five-year compound annual growth rate of 3.9% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $753.08 million in the year ended Dec 31, 2024 (-83.7%), $4.62 billion in the year ended Dec 31, 2023 (-14.0%), $5.38 billion in the year ended Dec 31, 2022 (+14.1%) and $4.71 billion in the year ended Dec 31, 2021 (+49.5%).
- Five-year quarterly Assets spans a low of $4.46 million in the quarter ended Sep 30, 2024 and a high of $5.15 billion in the quarter ended Dec 31, 2022.
- Year over year, Assets gained in two of the last five quarters, with growth averaging 42.8%.
- The high point for year-over-year Assets in five years was the quarter ended Dec 31, 2025 (growth of 408.9%); the low point was the quarter ended Sep 30, 2023 (a decline of 99.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $4.04 billion (quarter ended Mar 31, 2026), $3.83 billion (quarter ended Dec 31, 2025) and $4.33 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 380.51 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 330.14 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 313.76 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | 170.87 Bn |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 124.26 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | 1.37 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 81.81 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | - |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 94.75 Bn |
| 10 | Vermilion Energy | 1.76 Bn | 1.61 Bn | - | 3.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Bn |
| Mar 31, 2026 | 4.04 Bn |
| Dec 31, 2025 | 3.83 Bn |
| Sep 30, 2025 | 4.33 Bn |
| Jun 30, 2025 | 4.84 Mn |
| Mar 31, 2025 | 4.94 Mn |
| Dec 31, 2024 | 753.08 Mn |
| Sep 30, 2024 | 4.46 Mn |
| Jun 30, 2024 | 4.52 Bn |
| Mar 31, 2024 | 4.69 Mn |
| Dec 31, 2023 | 4.58 Bn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 5.35 Mn |
| Mar 31, 2023 | 5.39 Mn |
| Dec 31, 2022 | 5.15 Bn |
| Sep 30, 2022 | 5.07 Bn |
| Jun 30, 2022 | 4.93 Mn |
| Mar 31, 2022 | 4.89 Mn |
| Dec 31, 2021 | 4.68 Bn |
| Sep 30, 2021 | 4.57 Bn |
Vermilion Energy Assets 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=assets&ticker=VET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=VET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();