Baytex Energy (BTE) Consolidated Net Income (2009 - 2026)
Baytex Energy (BTE) recorded Consolidated Net Income of $71.33 million in the quarter ended Sep 30, 2026, up 207.1% from $23.23 million a year earlier but down 43.6% from the prior quarter.
Baytex Energy (BTE) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Baytex Energy's Consolidated Net Income came in at $13.17 million as of Sep 30, 2026; for the year ended Dec 31, 2025, it came in at -$432.14 million.
- Across earlier years, Consolidated Net Income came in at $172.81 million in the year ended Dec 31, 2024, -$172.96 million in the year ended Dec 31, 2023, $658.1 million in the year ended Dec 31, 2022 (-48.9%) and $1.29 billion in the year ended Dec 31, 2021.
- Quarterly Consolidated Net Income has ranged from -$375.35 million in the quarter ended Dec 31, 2023 to $442.2 million in the quarter ended Dec 31, 2021 over the past five years.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 526.1% in the quarter ended Sep 30, 2022, against a decline of 78.0% in the quarter ended Jun 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $126.42 million (quarter ended Jun 30, 2026), -$49.23 million (quarter ended Mar 31, 2026) and -$135.34 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 16.02 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | -1.90 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 10.05 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 8.36 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 4.02 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 4.00 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 2.55 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 2.14 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 5.64 Bn |
| 10 | Baytex Energy | 3.34 Bn | 1.13 Bn | - | 71.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.33 Mn |
| Jun 30, 2026 | 126.42 Mn |
| Mar 31, 2026 | -49.23 Mn |
| Dec 31, 2025 | -135.34 Mn |
| Sep 30, 2025 | 23.23 Mn |
| Jun 30, 2025 | -69.21 Mn |
| Mar 31, 2025 | 42.63 Mn |
| Dec 31, 2024 | -114.28 Mn |
| Sep 30, 2024 | 90.59 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 71.63 Mn |
| Dec 31, 2023 | -375.35 Mn |
| Sep 30, 2023 | 178.58 Mn |
| Jun 30, 2023 | 124.43 Mn |
| Mar 31, 2023 | 37.65 Mn |
| Dec 31, 2022 | 242.40 Mn |
| Sep 30, 2022 | 292.89 Mn |
| Jun 30, 2022 | 188.15 Mn |
| Mar 31, 2022 | 22.72 Mn |
| Dec 31, 2021 | 442.20 Mn |
Baytex Energy Consolidated Net Income 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=consolidated-net-income&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();