JD.com (JD) EBIT (2013 - 2026)
JD.com (JD) posted EBIT of $667.77 million for Q2 2026, compared with -$118.76 million a year earlier and up 21.5% from the prior quarter.
JD.com (JD) EBIT (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at JD.com was $234.55 million, down 94.4% year-over-year; for FY2025, it came in at $386.01 million, down 92.7% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -27.2% (FY2020 to FY2025).
- In prior years, JD.com's EBIT was $5.31 billion in FY2024 (+44.8%), $3.67 billion in FY2023 (+28.1%), $2.86 billion in FY2022 (+340.0%) and $650 million in FY2021 (-65.6%).
- The Q2 2026 figure stands as the highest quarterly EBIT since Q1 2025.
- On a year-over-year basis, EBIT increased in three of the last four quarters, with growth averaging 78.9%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2024, with growth of 308.1%; the weakest was Q1 2026, with a decline of 62.1%.
- According to Business Quant data, EBIT for the three prior quarters was $549.62 million (Q1 2026), -$836 million (Q4 2025) and -$146.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 680.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 2.56 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 923.76 Mn |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn | 667.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 667.77 Mn |
| Mar 31, 2026 | 552.00 Mn |
| Dec 31, 2025 | -836.00 Mn |
| Sep 30, 2025 | -148.00 Mn |
| Jun 30, 2025 | -118.76 Mn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 30, 2024 | 1.72 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 285.00 Mn |
| Sep 30, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 936.00 Mn |
| Dec 31, 2022 | 701.00 Mn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 561.00 Mn |
| Mar 31, 2022 | 380.00 Mn |
| Dec 31, 2021 | -61.51 Mn |
| Sep 30, 2021 | 399.24 Mn |
JD.com EBIT 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=ebit&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();