Baytex Energy (BTE) Operating Leases (2019 - 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.
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Analysis
Baytex Energy (BTE) Operating Leases (2019 - 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 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 | Baytex Energy | 4.15 Bn | 2.40 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.35 Mn |
| Mar 31, 2026 | 6.78 Mn |
| Dec 31, 2025 | 11.57 Mn |
| Sep 30, 2025 | 7.96 Mn |
| Jun 30, 2025 | 9.73 Mn |
| Mar 31, 2025 | 8.94 Mn |
| Dec 31, 2024 | 10.77 Mn |
| Sep 30, 2024 | 5.58 Mn |
| Jun 30, 2024 | 6.18 Mn |
| Mar 31, 2024 | 9.88 Mn |
| Dec 31, 2023 | 12.14 Mn |
| Sep 30, 2023 | 13.37 Mn |
| Jun 30, 2023 | 18.33 Mn |
| Mar 31, 2023 | 14.52 Mn |
| Dec 31, 2022 | 2.23 Mn |
| Sep 30, 2022 | 2.73 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 2.31 Mn |
| Dec 31, 2021 | 3.79 Mn |
| Sep 30, 2021 | 2.75 Mn |
API Access
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_KEYimport 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();