Baytex Energy (BTE) Operating Leases (2010 - 2026)
Baytex Energy (BTE) posted Operating Leases of $7.55 million for the quarter ended Jun 30, 2026, down 21.4% from $9.61 million a year earlier but up 9.7% from the prior quarter.
Baytex Energy (BTE) Operating Leases (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Baytex Energy's Operating Leases came in at $5.14 million, down 23.5% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 9.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Baytex Energy's Operating Leases was $6.71 million in the year ended Dec 31, 2024 (-32.3%), $9.92 million in the year ended Dec 31, 2023 (+266.5%), $2.71 million in the year ended Dec 31, 2022 (-29.7%) and $3.85 million in the year ended Dec 31, 2021 (+20.3%).
- Quarterly Operating Leases has run from a low of $2.28 million in the quarter ended Mar 31, 2022 to a high of $18.08 million in the quarter ended Jun 30, 2023 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last three quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2023, with growth of 625.6%; the weakest was the quarter ended Jun 30, 2024, with a decline of 65.7%.
- According to Business Quant data, Operating Leases for the three prior quarters was $6.88 million (quarter ended Mar 31, 2026), $5.15 million (quarter ended Dec 31, 2025) and $8.05 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - |
| 10 | Baytex Energy | 3.47 Bn | 3.01 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.55 Mn |
| Mar 31, 2026 | 6.88 Mn |
| Dec 31, 2025 | 5.15 Mn |
| Sep 30, 2025 | 8.05 Mn |
| Jun 30, 2025 | 9.61 Mn |
| Mar 31, 2025 | 8.92 Mn |
| Dec 31, 2024 | 6.58 Mn |
| Sep 30, 2024 | 5.52 Mn |
| Jun 30, 2024 | 6.19 Mn |
| Mar 31, 2024 | 9.93 Mn |
| Dec 31, 2023 | 9.84 Mn |
| Sep 30, 2023 | 13.45 Mn |
| Jun 30, 2023 | 18.08 Mn |
| Mar 31, 2023 | 14.53 Mn |
| Dec 31, 2022 | 2.59 Mn |
| Sep 30, 2022 | 2.86 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 2.28 Mn |
| Dec 31, 2021 | 3.83 Mn |
| Sep 30, 2021 | 2.79 Mn |
Baytex 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=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "BTE", "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=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();