Best Buy (BBY) Amortizatization of Intangibles (2009 - 2014)
Best Buy (BBY) reported Amortizatization of Intangibles of $2 million for fiscal Q4 2014 (quarter ended Feb 1, 2014), down 75.0% from $8 million a year earlier but up 100.0% from the prior quarter.
Best Buy (BBY) Amortizatization of Intangibles (2009 - 2014) Analysis & Trends
For FY2014 (ended Feb 1, 2014), Best Buy posted Amortizatization of Intangibles of $15 million, down 60.5% from FY2013.
- Amortizatization of Intangibles has a five-year compound annual growth rate of -25.0% (FY2009 to FY2014).
- By fiscal year, Amortizatization of Intangibles came in at $38 million in FY2013 (-9.5%), $42 million in FY2012, $82 million in FY2011 (-6.8%) and $88 million in FY2010 (+39.7%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $1 million in fiscal Q3 2014 and a high of $24 million in fiscal Q3 2010.
- Year over year, Amortizatization of Intangibles has now declined in each of the last three quarters, with an average decline of 10.5% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q4 2013 (growth of 166.7%); the low point was fiscal Q3 2014 (a decline of 90.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2014 came in at $1 million (Q3 2014), $7 million (Q2 2014) and $10 million (Q1 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | - |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 178.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Best Buy | 18.50 Bn | 11.84 Bn | 2.34 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2014 | 2.00 Mn |
| Nov 2, 2013 | 1.00 Mn |
| Aug 3, 2013 | 7.00 Mn |
| May 4, 2013 | 10.00 Mn |
| Feb 2, 2013 | 8.00 Mn |
| Nov 3, 2012 | 10.00 Mn |
| Aug 4, 2012 | 10.00 Mn |
| May 5, 2012 | 10.00 Mn |
| Jan 28, 2012 | 3.00 Mn |
| Oct 29, 2011 | 9.00 Mn |
| Jul 30, 2011 | 15.00 Mn |
| Apr 30, 2011 | 15.00 Mn |
| Feb 26, 2011 | 19.00 Mn |
| Nov 27, 2010 | 20.00 Mn |
| Aug 28, 2010 | 21.00 Mn |
| May 29, 2010 | 22.00 Mn |
| Feb 27, 2010 | 22.00 Mn |
| Nov 28, 2009 | 24.00 Mn |
| Aug 29, 2009 | 21.00 Mn |
| May 30, 2009 | 21.00 Mn |
Best Buy Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=BBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "BBY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=BBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();