Wayfair (W) Accumulated Expenses (2013 - 2020)
Wayfair's (W) quarterly Accumulated Expenses came in at $328.7 million in Q3 2020, up 22.94% year-over-year from $267.4 million in Q4 2019, and up 9.67% quarter-over-quarter from $299.7 million in Q2 2020.
Wayfair (W) Accumulated Expenses (2013 - 2020) Analysis & Trends
Wayfair (W) has reported Accumulated Expenses for 8 consecutive years, with $328.7 million the latest figure, recorded in Q3 2020.
- On a quarterly basis, Accumulated Expenses rose 22.94% year-over-year to $328.7 million in Q3 2020; TTM through Sep 2020 was $328.7 million, a 22.94% increase from a year earlier, with the FY2019 full-year figure at $298.9 million, up 40.34% from the prior year.
- Accumulated Expenses was $328.7 million for Q3 2020 at Wayfair, up from $299.7 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $328.7 million in Q3 2020 and troughed at $60.6 million in Q1 2016.
- A 5-year average of $166.9 million and a median of $129.5 million in 2018 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses grew 16.55% in 2017 and soared 80.94% in 2019, its largest moves.
- Over 5 years, Accumulated Expenses stood at $67.8 million in 2016, then soared by 77.34% to $120.2 million in 2017, then jumped by 77.13% to $213.0 million in 2018, then soared by 40.34% to $298.9 million in 2019, then increased by 9.96% to $328.7 million in 2020.
- The last three Accumulated Expenses figures came in at $328.7 million (Q3 2020), $299.7 million (Q2 2020), and $255.3 million (Q1 2020), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn |
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();