Wayfair (W) Accumulated Expenses (2013 - 2020)
Wayfair (W) posted Accumulated Expenses of $328.69 million for Q3 2020, up 22.9% from $267.35 million a year earlier and up 9.7% from the prior quarter.
Wayfair (W) Accumulated Expenses (2013 - 2020) Analysis & Trends
At the end of FY2019, Wayfair's Accumulated Expenses came in at $298.92 million, up 40.3% from FY2018.
- Annual Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 47.8% (FY2014 to FY2019).
- In prior years, Wayfair's Accumulated Expenses was $213 million in FY2018 (+77.1%), $120.25 million in FY2017 (+77.3%), $67.81 million in FY2016 (+31.5%) and $51.56 million in FY2015 (+21.8%).
- The Q3 2020 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2013.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 21 quarters, with growth averaging 51.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 16.5% (Q1 2017) to 80.9% (Q1 2019).
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $299.71 million (Q2 2020), $255.35 million (Q1 2020) and $298.92 million (Q4 2019).
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
| Date | Value |
|---|---|
| Sep 30, 2020 | 328.69 Mn |
| Jun 30, 2020 | 299.71 Mn |
| Mar 31, 2020 | 255.35 Mn |
| Dec 31, 2019 | 298.92 Mn |
| Sep 30, 2019 | 267.35 Mn |
| Jun 30, 2019 | 218.61 Mn |
| Mar 31, 2019 | 207.21 Mn |
| Dec 31, 2018 | 213.00 Mn |
| Sep 30, 2018 | 167.75 Mn |
| Jun 30, 2018 | 129.46 Mn |
| Mar 31, 2018 | 114.52 Mn |
| Dec 31, 2017 | 120.25 Mn |
| Sep 30, 2017 | 121.22 Mn |
| Jun 30, 2017 | 89.05 Mn |
| Mar 31, 2017 | 70.63 Mn |
| Dec 31, 2016 | 67.81 Mn |
| Sep 30, 2016 | 68.29 Mn |
| Jun 30, 2016 | 73.50 Mn |
| Mar 31, 2016 | 60.60 Mn |
| Dec 31, 2015 | 51.56 Mn |
Wayfair Accumulated Expenses 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=accumulated-expenses&ticker=W&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=W&period=max&api_key=YOUR_API_KEY");
const data = await res.json();