Vermilion Energy (VET) Operating Leases (2015 - 2026)
Vermilion Energy's Operating Leases was $33.85 million in the quarter ended Jun 30, 2026, compared with $2,172 a year earlier and down 4.9% from the prior quarter.
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Analysis
Vermilion Energy (VET) Operating Leases (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Vermilion Energy came in at $35.31 million, down 10.3% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of -9.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $39.37 million in the year ended Dec 31, 2024 (+60.9%), $24.46 million in the year ended Dec 31, 2023 (-38.3%), $39.62 million in the year ended Dec 31, 2022 and -$48.03 million in the year ended Dec 31, 2021.
- Quarterly Operating Leases has moved between -$47.75 million (the quarter ended Dec 31, 2021) and $68.17 million (the quarter ended Jun 30, 2024) over five years.
- Compared with a year earlier, Operating Leases was higher in three of the last five quarters, with growth averaging 52.4%.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Sep 30, 2024 (growth of 225.2%); the worst was the quarter ended Jun 30, 2025 (a decline of 100.0%).
- Per Business Quant data, VET's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $35.58 million (quarter ended Mar 31, 2026), $35.38 million (quarter ended Dec 31, 2025) and -$2,172 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - |
| 10 | Vermilion Energy | 2.08 Bn | 1.93 Bn | 394.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.95 Mn |
| Mar 31, 2026 | 35.03 Mn |
| Dec 31, 2025 | 36.03 Mn |
| Sep 30, 2025 | 36.54 Mn |
| Jun 30, 2025 | 38,575.00 |
| Mar 31, 2025 | 39,719.48 |
| Dec 31, 2024 | 38.32 Mn |
| Sep 30, 2024 | 90.17 Mn |
| Jun 30, 2024 | 68.06 Mn |
| Mar 31, 2024 | 21.36 Mn |
| Dec 31, 2023 | 24.94 Mn |
| Sep 30, 2023 | 27,288.56 |
| Jun 30, 2023 | 30,876.22 |
| Mar 31, 2023 | 34,339.11 |
| Dec 31, 2022 | 38.01 Mn |
| Sep 30, 2022 | 39.43 Mn |
| Jun 30, 2022 | 40,433.74 |
| Mar 31, 2022 | 44,515.03 |
| Dec 31, 2021 | 47.23 Mn |
| Sep 30, 2021 | 52.62 Mn |
API Access
Vermilion Energy Operating Leases 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=operating-leases&ticker=VET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=VET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();