JD.com (JD) Other Operating Expenses (2013 - 2018)
JD.com (JD) reported Other Operating Expenses of -$9.73 million for FY2020, compared with -$7.19 million in FY2019.
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Analysis
JD.com (JD) Other Operating Expenses (2013 - 2018) Analysis & Trends
Dating back to FY2011, JD.com's Other Operating Expenses record includes 10 years.
- Five-year annual Other Operating Expenses spans a low of -$1.77 billion in FY2018 and a high of -$7.19 million in FY2019.
- According to Business Quant data, Other Operating Expenses came in at -$7.19 million in FY2019, -$1.77 billion in FY2018, -$1.02 billion in FY2017 and -$775.01 million in FY2016.
Peer Set
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 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 19.03 Bn |
| Sep 30, 2018 | 14.64 Bn |
| Jun 30, 2018 | 18.02 Bn |
| Mar 31, 2018 | 15.41 Bn |
| Dec 31, 2017 | 16.68 Bn |
| Sep 30, 2017 | 12.09 Bn |
| Jun 30, 2017 | 13.42 Bn |
| Mar 31, 2017 | 10.54 Bn |
| Dec 31, 2016 | 11.21 Bn |
| Sep 30, 2016 | 8.76 Bn |
| Jun 30, 2016 | 9.51 Bn |
| Mar 31, 2016 | 8.19 Bn |
| Dec 31, 2015 | 8.76 Bn |
| Sep 30, 2015 | 6.79 Bn |
| Jun 30, 2015 | 7.30 Bn |
| Mar 31, 2015 | 5.85 Bn |
| Dec 31, 2014 | 5.54 Bn |
| Sep 30, 2014 | 4.64 Bn |
| Jun 30, 2014 | 4.60 Bn |
| Mar 31, 2014 | -3.67 Bn |
API Access
JD.com Other Operating 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=other-operating-expenses&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();