JD.com (JD) Income from Discontinued Operations (2016 - 2017)
JD.com (JD) posted Income from Discontinued Operations of $1.06 million for Q4 2017, compared with -$67.67 million a year earlier.
Analysis
JD.com (JD) Income from Discontinued Operations (2016 - 2017) Analysis & Trends
For FY2017, JD.com's Income from Discontinued Operations came in at -$1.06 million.
- In prior years, JD.com's Income from Discontinued Operations was $205.87 million in FY2016 (-6.2%), $219.41 million in FY2015 and -$64.07 million in FY2014.
- Quarterly Income from Discontinued Operations has run from a low of -$68.17 million in Q3 2016 to a high of $10.36 million in Q2 2017 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (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 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -40.66 Mn |
| Jun 30, 2017 | 30.88 Mn |
| Mar 31, 2017 | -2.90 |
| Dec 31, 2016 | -67.67 Mn |
| Sep 30, 2016 | -68.17 Mn |
| Jun 30, 2016 | -58.27 Mn |
API Access
JD.com Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "ticker": "JD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-discontinued-operations&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();