Baytex Energy (BTE) Restructuring Costs (2014 - 2025)
Baytex Energy (BTE) recorded Restructuring Costs of -$1.1 million in the quarter ended Dec 31, 2025.
Baytex Energy (BTE) Restructuring Costs (2014 - 2025) Analysis & Trends
On a TTM basis, Baytex Energy's Restructuring Costs came in at -$31,041 as of Dec 31, 2025; for the year ended Dec 31, 2024, it came in at $1.12 million, down 96.9% from the prior year.
- Annual Restructuring Costs has a five-year compound annual growth rate of -49.2% (years ended Dec 2019 to Dec 2024).
- Across earlier years, Restructuring Costs came in at $36.35 million in the year ended Dec 31, 2023, $25.74 million in the year ended Dec 31, 2021 (+21.3%) and $21.23 million in the year ended Dec 31, 2020 (-35.9%).
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Restructuring Costs since the quarter ended Sep 30, 2023.
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 |
|---|---|
| Dec 31, 2025 | -1.10 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | 24.00 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 3.73 Mn |
| Sep 30, 2023 | -2.26 Mn |
| Jun 30, 2023 | -32.83 Mn |
| Mar 31, 2023 | 6.56 Mn |
| Sep 30, 2019 | 13.07 Mn |
| Dec 31, 2018 | 6,060.96 |
| Sep 30, 2018 | 10.00 Mn |
| Dec 31, 2014 | 1.42 Mn |
Baytex Energy Restructuring Costs 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=restructuring-costs&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();