Baytex Energy (BTE) Goodwill (2009 - 2015)
Baytex Energy's Goodwill came in at $214.17 million for the quarter ended Jun 30, 2015, down 63.6% from $588.68 million a year earlier and down 1.2% from the prior quarter.
Baytex Energy (BTE) Goodwill (2009 - 2015) Analysis & Trends
As of Dec 31, 2014, Baytex Energy's Goodwill was $222.04 million, up 505.3% 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 $36.68 million in the year ended Dec 31, 2013 (-2.9%), $37.78 million in the year ended Dec 31, 2012 (+2.4%), $36.89 million in the year ended Dec 31, 2011 (+0.6%) and $36.66 million in the year ended Dec 31, 2010 (-2.9%).
- The figure for the quarter ended Jun 30, 2015 represents the lowest quarterly Goodwill since the quarter ended Mar 31, 2014.
- Year-over-year, Goodwill increased in two of the last six quarters, with growth averaging 158.3%.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Mar 31, 2015 (growth of 532.1%), and the weakest in the quarter ended Jun 30, 2015 (a decline of 63.6%).
- Business Quant data shows BTE's Goodwill at $216.68 million (quarter ended Mar 31, 2015), $215.82 million (quarter ended Dec 31, 2014) and $618.36 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 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - |
| 10 | Baytex Energy | 3.47 Bn | 3.01 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 214.17 Mn |
| Mar 31, 2015 | 216.68 Mn |
| Dec 31, 2014 | 215.82 Mn |
| Sep 30, 2014 | 618.36 Mn |
| Jun 30, 2014 | 588.68 Mn |
| Mar 31, 2014 | 34.28 Mn |
| Dec 31, 2013 | 35.99 Mn |
| Sep 30, 2013 | 36.34 Mn |
| Jun 30, 2013 | 36.92 Mn |
| Mar 31, 2013 | 37.49 Mn |
| Dec 31, 2012 | 38.10 Mn |
| Sep 30, 2012 | 37.91 Mn |
| Jun 30, 2012 | 37.41 Mn |
| Mar 31, 2012 | 37.71 Mn |
| Dec 31, 2011 | 36.89 Mn |
| Sep 30, 2011 | 38.59 Mn |
| Jun 30, 2011 | 39.02 Mn |
| Mar 31, 2011 | 38.29 Mn |
| Dec 31, 2010 | 37.26 Mn |
| Sep 30, 2010 | 36.34 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();