JD.com (JD) Other Operating Expenses (2013 - 2018)
JD.com's (JD) quarterly Other Operating Expenses came in at $19.0 billion in Q4 2018, up 14.13% year-over-year from $16.7 billion in Q4 2017, and up 29.99% quarter-over-quarter from $14.6 billion in Q3 2018.
JD.com (JD) Other Operating Expenses (2013 - 2018) Analysis & Trends
JD.com (JD) has reported Other Operating Expenses for 6 consecutive years, with $19.0 billion the latest figure, recorded in Q4 2018.
- On a quarterly basis, Other Operating Expenses rose 14.13% year-over-year to $19.0 billion in Q4 2018; TTM through Sep 2019 was $19.0 billion, a 70.6% decrease from a year earlier, with the FY2020 full-year figure at $3.0 billion, up 17.41% from the prior year.
- Other Operating Expenses was $19.0 billion for Q4 2018 at JD.com, up from $14.6 billion in the prior quarter.
- Over five years, Other Operating Expenses peaked at $19.0 billion in Q4 2018 and troughed at -$8.1 billion in Q1 2016.
- A 5-year average of $8.4 billion and a median of $9.1 billion in 2015 frame the typical range for Other Operating Expenses.
- Across the five-year window, Other Operating Expenses soared 269.64% in 2014 and tumbled 247.91% in 2015, its largest moves.
- Over 5 years, Other Operating Expenses stood at $5.5 billion in 2014, then jumped by 58.16% to $8.8 billion in 2015, then climbed by 27.95% to $11.2 billion in 2016, then soared by 48.8% to $16.7 billion in 2017, then increased by 14.13% to $19.0 billion in 2018.
- The last three Other Operating Expenses figures came in at $19.0 billion (Q4 2018), $14.6 billion (Q3 2018), and $18.0 billion (Q2 2018), 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 |
|---|---|
| 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 | -8.09 Bn |
| Dec 31, 2015 | 8.76 Bn |
| Sep 30, 2015 | -6.86 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 |
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_KEY
import 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();