Baytex Energy (BTE) Consolidated Net Income (2009 - 2026)
Baytex Energy (BTE) recorded Consolidated Net Income of $4.54 million in the quarter ended Jun 30, 2026, down 87.0% from $35.03 million a year earlier.
Baytex Energy (BTE) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Baytex Energy's Consolidated Net Income came in at -$535.04 million as of Jun 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 (-49.3%) and $1.3 billion in the year ended Dec 31, 2021.
- Quarterly Consolidated Net Income has ranged from -$507.42 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 87.0% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$132.7 million (quarter ended Mar 31, 2026), -$495.9 million (quarter ended Dec 31, 2025) and $89.01 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 14.88 Bn |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 10.81 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | 12.21 Bn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | 5.48 Bn |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | 3.35 Bn |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 3.93 Bn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | 4.84 Bn |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | 3.88 Bn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 3.48 Bn |
| 10 | Baytex Energy | 3.50 Bn | 3.04 Bn | - | 4.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.54 Mn |
| Mar 31, 2026 | -132.70 Mn |
| Dec 31, 2025 | -495.90 Mn |
| Sep 30, 2025 | 89.01 Mn |
| Jun 30, 2025 | 35.03 Mn |
| Mar 31, 2025 | 42.63 Mn |
| Dec 31, 2024 | -99.80 Mn |
| Sep 30, 2024 | 90.59 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 71.63 Mn |
| Dec 31, 2023 | -507.42 Mn |
| Sep 30, 2023 | 178.58 Mn |
| Jun 30, 2023 | 124.43 Mn |
| Mar 31, 2023 | 37.65 Mn |
| Dec 31, 2022 | 150.98 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 |
| Sep 30, 2021 | 46.78 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();