Wayfair (W) Amortization - Intangibles (2013 - 2015)
Wayfair's Amortization - Intangibles was $900,000 in FY2016, unchanged from $900,000 in FY2015.
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Analysis
Wayfair (W) Amortization - Intangibles (2013 - 2015) Analysis & Trends
From FY2012 onward, Wayfair has reported Amortization - Intangibles for 5 years.
- Amortization - Intangibles shows a four-year compound annual growth rate of 43.5% (FY2012 to FY2016).
- Annual Amortization - Intangibles has moved between $212,000 (FY2012) and $1 million (FY2014) over five years.
- Per Business Quant data, Amortization - Intangibles in earlier years was $900,000 in FY2015 (-10.0%), $1 million in FY2014 (+85.5%), $539,000 in FY2013 (+154.2%) and $212,000 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn |
| 10 | Wayfair | 14.37 Bn | 9.40 Bn | 1.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 206,000.00 |
| Sep 30, 2015 | 208,000.00 |
| Jun 30, 2015 | 236,000.00 |
| Mar 31, 2015 | 250,000.00 |
| Dec 31, 2014 | 252,000.00 |
| Sep 30, 2014 | 249,000.00 |
| Jun 30, 2014 | 250,000.00 |
| Mar 31, 2014 | 249,000.00 |
| Dec 31, 2013 | 249,000.00 |
| Sep 30, 2013 | 184,000.00 |
API Access
Wayfair Amortization - 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=amortization-intangibles&ticker=W&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "W", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=W&period=max&api_key=YOUR_API_KEY");
const data = await res.json();