Baytex Energy (BTE) Restructuring Costs (2014 - 2025)
Baytex Energy (BTE) recorded Restructuring Costs of -$18.98 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 $207,056 as of Dec 31, 2025, down 81.9% year-over-year; 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 -35.2% (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.
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Restructuring Costs in data going back to the quarter ended Dec 31, 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Baytex Energy | 3.34 Bn | 1.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -18.98 Mn |
| Sep 30, 2025 | 18.12 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 3.73 Mn |
| Sep 30, 2023 | 1.69 Mn |
| Jun 30, 2023 | 24.44 Mn |
| Mar 31, 2023 | 6.56 Mn |
| Dec 31, 2019 | 6,059.99 |
| Sep 30, 2019 | 9.90 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();