Wayfair (W) Research & Development (2013 - 2017)
Wayfair's (W) quarterly Research & Development came in at $56.9 million in Q3 2017, up 17.27% year-over-year from $48.6 million in Q3 2016, and up 8.85% quarter-over-quarter from $52.3 million in Q2 2017.
Wayfair (W) Research & Development (2013 - 2017) Analysis & Trends
Wayfair (W) has reported Research & Development for 5 consecutive years, with $56.9 million the latest figure, recorded in Q3 2017.
- On a quarterly basis, Research & Development rose 17.27% year-over-year to $56.9 million in Q3 2017; TTM through Sep 2017 was $207.9 million, a 28.57% increase from a year earlier, with the FY2016 full-year figure at $177.5 million, up 67.25% from the prior year.
- Research & Development was $56.9 million for Q3 2017 at Wayfair, up from $52.3 million in the prior quarter.
- Over five years, Research & Development peaked at $56.9 million in Q3 2017 and troughed at -$85.8 million in Q4 2013.
- A 5-year average of $28.5 million and a median of $37.9 million in 2016 frame the typical range for Research & Development.
- The widest YoY moves for Research & Development: up 144.57% in 2014, down 71.17% in 2014.
- Over 5 years, Research & Development stood at -$85.8 million in 2013, then jumped by 144.57% to $38.2 million in 2014, then decreased by 16.28% to $32.0 million in 2015, then jumped by 49.47% to $47.9 million in 2016, then grew by 18.97% to $56.9 million in 2017.
- The last three Research & Development figures came in at $56.9 million (Q3 2017), $52.3 million (Q2 2017), and $50.8 million (Q1 2017), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn | 62.73 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn | -2.09 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 | 36.18 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn | 170.80 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 | -11.38 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 56.93 Mn |
| Jun 30, 2017 | 52.31 Mn |
| Mar 31, 2017 | 50.79 Mn |
| Dec 31, 2016 | 47.86 Mn |
| Sep 30, 2016 | 48.55 Mn |
| Jun 30, 2016 | 43.27 Mn |
| Mar 31, 2016 | 37.86 Mn |
| Dec 31, 2015 | 32.02 Mn |
| Sep 30, 2015 | 27.08 Mn |
| Jun 30, 2015 | 23.81 Mn |
| Mar 31, 2015 | 23.23 Mn |
| Dec 31, 2014 | 38.25 Mn |
| Sep 30, 2014 | 13.44 Mn |
| Jun 30, 2014 | 13.26 Mn |
| Mar 31, 2014 | 15.17 Mn |
| Dec 31, 2013 | -85.81 Mn |
| Sep 30, 2013 | 46.60 Mn |
Wayfair Research & Development 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=research-and-development&ticker=W&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=W&period=max&api_key=YOUR_API_KEY");
const data = await res.json();