Baytex Energy (BTE) Net Margin (2009 - 2026)
Baytex Energy's Net Margin was 31.82% in the quarter ended Jun 30, 2026, down 9.90 percentage points from 41.72% a year earlier but up 78.60 percentage points from the prior quarter.
Baytex Energy (BTE) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Baytex Energy's Net Margin was -88.09% through Jun 30, 2026, down 139.99 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at -40.77%, down 55.44 percentage points from the prior year.
- Net Margin shows a five-year change of +72.87 percentage points (years ended Dec 2020 to Dec 2025).
- In earlier years, Net Margin was 14.67% in the year ended Dec 31, 2024 (+23.27 pp), -8.60% in the year ended Dec 31, 2023 (-23.22 pp), 14.62% in the year ended Dec 31, 2022 (+9.08 pp) and 5.54% in the year ended Dec 31, 2021 (+119.19 pp).
- Quarterly Net Margin has moved between -74.78% (the quarter ended Dec 31, 2023) and 43.52% (the quarter ended Jun 30, 2023) over five years.
- Compared with a year earlier, Net Margin was higher in three of the last six quarters, with an average year-over-year change of -5.72 percentage points.
- The best year-over-year quarter for Net Margin over five years was the quarter ended Jun 30, 2025 (a gain of 30.08 percentage points); the worst was the quarter ended Mar 31, 2022 (a drop of 990.12 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - | 12.52% |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn | 17.23% |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn | 10.35% |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn | 8.80% |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn | 20.14% |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - | 9.17% |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn | 7.39% |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn | 30.55% |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - | 26.19% |
| 10 | Baytex Energy | 4.15 Bn | 2.40 Bn | - | 27.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.33% |
| Mar 31, 2026 | -14.86% |
| Dec 31, 2025 | -224.58% |
| Sep 30, 2025 | 3.45% |
| Jun 30, 2025 | 36.87% |
| Mar 31, 2025 | 15.32% |
| Sep 30, 2024 | 17.24% |
| Jun 30, 2024 | 9.17% |
| Mar 31, 2024 | -1.43% |
| Dec 31, 2023 | -43.14% |
| Sep 30, 2023 | 10.96% |
| Jun 30, 2023 | 35.67% |
| Mar 31, 2023 | 14.90% |
| Dec 31, 2022 | 40.05% |
| Sep 30, 2022 | 37.21% |
| Jun 30, 2022 | 21.19% |
| Mar 31, 2022 | -2.42% |
| Dec 31, 2021 | 80.89% |
| Sep 30, 2021 | -24.01% |
| Jun 30, 2021 | 238.04% |
Baytex Energy Net Margin 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=net-margin&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();