Baytex Energy (BTE) Long-Term Investments (2009 - 2016)
Baytex Energy's Long-Term Investments was $77.24 million in the quarter ended Dec 31, 2016, down 17.0% from $93.1 million a year earlier but up 7.1% from the prior quarter.
Baytex Energy (BTE) Long-Term Investments (2009 - 2016) Analysis & Trends
From the quarter ended Sep 30, 2009 onward, Baytex Energy has reported Long-Term Investments for 18 quarters.
- Long-Term Investments shows a five-year compound annual growth rate of -13.9% (years ended Dec 2011 to Dec 2016).
- In earlier years, Long-Term Investments was $93.1 million in the year ended Dec 31, 2015 (-62.1%) and $245.51 million in the year ended Dec 31, 2014.
- Quarterly Long-Term Investments has moved between $45.65 million (the quarter ended Mar 31, 2016) and $634.28 million (the quarter ended Sep 30, 2014) over five years.
- Compared with a year earlier, Long-Term Investments has declined for eight straight quarters, with an average decline of 46.7% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was the quarter ended Mar 31, 2012 (growth of 29.5%); the worst was the quarter ended Sep 30, 2015 (a decline of 83.4%).
- Per Business Quant data, BTE's Long-Term Investments in the three quarters before the quarter ended Dec 31, 2016 was $72.11 million (quarter ended Sep 30, 2016), $81.26 million (quarter ended Jun 30, 2016) and $45.65 million (quarter ended Mar 31, 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 1.48 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 42.35 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 2.10 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | 1.66 Bn |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 10.35 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | 15.66 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 12.35 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | - |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | Baytex Energy | 3.47 Bn | 3.01 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 77.24 Mn |
| Sep 30, 2016 | 72.11 Mn |
| Jun 30, 2016 | 81.26 Mn |
| Mar 31, 2016 | 45.65 Mn |
| Dec 31, 2015 | 93.10 Mn |
| Sep 30, 2015 | 105.05 Mn |
| Jun 30, 2015 | 158.05 Mn |
| Mar 31, 2015 | 160.22 Mn |
| Dec 31, 2014 | 245.51 Mn |
| Sep 30, 2014 | 634.28 Mn |
| Jun 30, 2014 | 336.31 Mn |
| Mar 31, 2014 | 170.81 Mn |
| Mar 31, 2012 | 141.74 Mn |
| Dec 31, 2011 | 162.97 Mn |
| Mar 31, 2011 | 109.47 Mn |
| Jun 30, 2010 | 107.96 Mn |
| Dec 31, 2009 | 22.32 Mn |
| Sep 30, 2009 | 88.81 Mn |
Baytex Energy Long-Term Investments 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=long-term-investments&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();