JD.com (JD) Cash from Discontinued Operations (2016 - 2017)
JD.com's Cash from Discontinued Operations was $100.25 million in FY2019, compared with -$35.31 million in FY2018.
Analysis
JD.com (JD) Cash from Discontinued Operations (2016 - 2017) Analysis & Trends
From FY2014 onward, JD.com has reported Cash from Discontinued Operations for 6 years.
- Cash from Discontinued Operations shows a five-year compound annual growth rate of 43.5% (FY2014 to FY2019).
- The FY2019 figure marks the highest annual Cash from Discontinued Operations in data going back to FY2014.
- Per Business Quant data, Cash from Discontinued Operations in earlier years was -$35.31 million in FY2018, -$382.05 million in FY2017, -$184.93 million in FY2016 and -$213.86 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | - |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | - |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 157.68 Mn |
| Mar 31, 2017 | -205.71 Mn |
| Dec 31, 2016 | 76.93 Mn |
| Sep 30, 2016 | 28.16 Mn |
| Jun 30, 2016 | -460.16 Mn |
API Access
JD.com Cash 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=cash-from-discontinued-operations&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-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=cash-from-discontinued-operations&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();