Vitesse Energy (VTS) Operating Expenses (2022 - 2026)
Vitesse Energy (VTS) posted Operating Expenses of $70.13 million for Q2 2026, up 11.1% from $63.1 million a year earlier and up 14.0% from the prior quarter.
Vitesse Energy (VTS) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Vitesse Energy was $264.6 million, up 16.6% year-over-year; for FY2025, it was $256.86 million, up 27.8% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Vitesse Energy's Operating Expenses was $201.03 million in FY2024 (+1.0%), $199.05 million in FY2023 (+55.5%), $128.02 million in FY2022 and $113.94 million in FY2021 (-13.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 19.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 116.6%; the weakest was Q1 2024, with a decline of 32.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $61.5 million (Q1 2026), $65.64 million (Q4 2025) and $67.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | Vitesse Energy | 705.25 Mn | 705.25 Mn | - | 70.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.13 Mn |
| Mar 31, 2026 | 61.50 Mn |
| Dec 31, 2025 | 65.64 Mn |
| Sep 30, 2025 | 67.34 Mn |
| Jun 30, 2025 | 63.10 Mn |
| Mar 31, 2025 | 60.79 Mn |
| Dec 31, 2024 | 53.83 Mn |
| Sep 30, 2024 | 49.30 Mn |
| Jun 30, 2024 | 49.78 Mn |
| Mar 31, 2024 | 48.11 Mn |
| Dec 31, 2023 | 49.42 Mn |
| Sep 30, 2023 | 39.12 Mn |
| Jun 30, 2023 | 38.87 Mn |
| Mar 31, 2023 | 71.64 Mn |
| Dec 31, 2022 | 22.81 Mn |
| Sep 30, 2022 | 21.15 Mn |
| Jun 30, 2022 | 49.45 Mn |
| Mar 31, 2022 | 34.61 Mn |
Vitesse Energy Operating Expenses 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-expenses&ticker=VTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VTS", "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-expenses&ticker=VTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();