Baytex Energy (BTE) Operating Margin (2015 - 2023)
Baytex Energy (BTE) posted Operating Margin of 77.28% for the quarter ended Mar 31, 2023.
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Analysis
Baytex Energy (BTE) Operating Margin (2015 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, Operating Margin at Baytex Energy was 14.52%; for the year ended Dec 31, 2022, it came in at 83.72%.
- Annual Operating Margin shows a five-year change of +77.37 percentage points (years ended Dec 2017 to Dec 2022).
- In prior years, Baytex Energy's Operating Margin was 8.54% in the year ended Dec 31, 2019 (+20.15 pp) and -11.61% in the year ended Dec 31, 2018 (-17.96 pp).
- The figure for the quarter ended Mar 31, 2023 stands as the highest quarterly Operating Margin in data going back to the quarter ended Mar 31, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 18.93% |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 20.54% |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 39.66% |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 7.15% |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 50.83% |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 36.02% |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 78.41% |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 14.27% |
| 10 | Baytex Energy | 3.34 Bn | 1.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 77.28% |
| Dec 31, 2017 | -56.73% |
| Sep 30, 2017 | 29.90% |
| Jun 30, 2017 | 29.96% |
| Dec 31, 2016 | -698.05% |
| Sep 30, 2016 | 36.48% |
| Jun 30, 2016 | 41.52% |
| Mar 31, 2016 | 54.63% |
| Mar 31, 2015 | 69.03% |
API Access
Baytex Energy Operating 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=operating-margin&ticker=BTE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();