Baytex Energy (BTE) Sales of Property, Plant and Equipment (2012 - 2026)
Baytex Energy (BTE) posted Sales of Property, Plant and Equipment of $4.42 million for the quarter ended Jun 30, 2026, up 745.4% from $523,242 a year earlier but down 53.7% from the prior quarter.
Baytex Energy (BTE) Sales of Property, Plant and Equipment (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Sales of Property, Plant and Equipment at Baytex Energy was $20.51 million; for the year ended Dec 31, 2024, it was -$33.96 million.
- In prior years, Baytex Energy's Sales of Property, Plant and Equipment was -$118.78 million in the year ended Dec 31, 2023, -$19.73 million in the year ended Dec 31, 2022, -$6.23 million in the year ended Dec 31, 2021 and $135,859 in the year ended Dec 31, 2020 (-87.9%).
- Quarterly Sales of Property, Plant and Equipment has run from a low of -$118.09 million in the quarter ended Dec 31, 2023 to a high of $19.52 million in the quarter ended Sep 30, 2022 over five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment increased in four of the last five quarters, with growth averaging 434.3%.
- The strongest year-over-year quarter for Sales of Property, Plant and Equipment in the past five years was the quarter ended Jun 30, 2026, with growth of 745.4%; the weakest was the quarter ended Sep 30, 2023, with a decline of 99.1%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | - |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 366.00 Mn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | 283.00 Mn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | 500.00 Mn |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 181.00 Mn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | - |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | 64.00 Mn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | -1.72 Bn |
| 10 | Baytex Energy | 3.54 Bn | 3.09 Bn | - | 4.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.42 Mn |
| Mar 31, 2026 | 9.56 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 523,241.56 |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | -36.26 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | 18,552.83 |
| Dec 31, 2023 | -118.09 Mn |
| Sep 30, 2023 | 168,580.29 |
| Jun 30, 2023 | 37,222.62 |
| Mar 31, 2023 | 173,828.65 |
| Dec 31, 2022 | -37.68 Mn |
| Sep 30, 2022 | 19.52 Mn |
| Jun 30, 2022 | 10,980.77 |
| Mar 31, 2022 | 517,895.86 |
| Dec 31, 2021 | -6.94 Mn |
| Sep 30, 2021 | 556,880.93 |
| Jun 30, 2021 | 14,643.49 |
Baytex Energy Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();