Baytex Energy (BTE) Goodwill (2009 - 2015)
Baytex Energy's Goodwill came in at $212.3 million for the quarter ended Jun 30, 2015, down 64.7% from $602.2 million a year earlier but up 0.4% from the prior quarter.
Baytex Energy (BTE) Goodwill (2009 - 2015) Analysis & Trends
As of Dec 31, 2014, Baytex Energy's Goodwill was $211.18 million, up 495.4% from the prior year.
- Goodwill carries a five-year compound annual growth rate of 42.5% (years ended Dec 2009 to Dec 2014).
- Going back by year, Goodwill was $35.47 million in the year ended Dec 31, 2013 (-6.6%), $37.97 million in the year ended Dec 31, 2012 (+2.6%), $37 million in the year ended Dec 31, 2011 (-2.0%) and $37.77 million in the year ended Dec 31, 2010 (+5.3%).
- The five-year range for quarterly Goodwill is $34.17 million (the quarter ended Mar 31, 2014) to $602.53 million (the quarter ended Sep 30, 2014).
- Year-over-year, Goodwill increased in two of the last six quarters, with growth averaging 155.0%.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Mar 31, 2015 (growth of 518.7%), and the weakest in the quarter ended Jun 30, 2015 (a decline of 64.7%).
- Business Quant data shows BTE's Goodwill at $211.41 million (quarter ended Mar 31, 2015), $211.18 million (quarter ended Dec 31, 2014) and $602.53 million (quarter ended Sep 30, 2014) in the three quarters before the quarter ended Jun 30, 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Baytex Energy | 3.34 Bn | 1.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 212.30 Mn |
| Mar 31, 2015 | 211.41 Mn |
| Dec 31, 2014 | 211.18 Mn |
| Sep 30, 2014 | 602.53 Mn |
| Jun 30, 2014 | 602.20 Mn |
| Mar 31, 2014 | 34.17 Mn |
| Dec 31, 2013 | 35.47 Mn |
| Sep 30, 2013 | 36.61 Mn |
| Jun 30, 2013 | 36.03 Mn |
| Mar 31, 2013 | 37.16 Mn |
| Dec 31, 2012 | 37.97 Mn |
| Sep 30, 2012 | 38.50 Mn |
| Jun 30, 2012 | 36.53 Mn |
| Mar 31, 2012 | 37.89 Mn |
| Dec 31, 2011 | 37.00 Mn |
| Sep 30, 2011 | 36.40 Mn |
| Jun 30, 2011 | 39.03 Mn |
| Mar 31, 2011 | 38.86 Mn |
| Dec 31, 2010 | 37.77 Mn |
| Sep 30, 2010 | 36.59 Mn |
Baytex Energy Goodwill 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=goodwill&ticker=BTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=BTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();