JD.com (JD) Gross Margin (2013 - 2026)
JD.com's Gross Margin came in at 17.12% for Q4 2026.
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Analysis
JD.com (JD) Gross Margin (2013 - 2026) Analysis & Trends
For FY2026, JD.com's Gross Margin was 16.97%.
- Gross Margin carries a five-year change of +3.40 percentage points (FY2021 to FY2026).
- Going back by year, Gross Margin was 16.04% in FY2025 (+0.18 pp), 15.87% in FY2024 (+1.14 pp), 14.72% in FY2023 (+0.67 pp) and 14.06% in FY2022 (+0.49 pp).
- The Q4 2026 figure represents the highest quarterly Gross Margin since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 53.17% |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | 33.04% |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 33.67% |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | 33.83% |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 51.45% |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 18.92% |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 53.34% |
| 10 | JD.com | 40.37 Bn | -79.84 Bn | 8.74 Bn | 17.12% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.12% |
| Mar 31, 2026 | 16.80% |
| Dec 31, 2025 | 15.63% |
| Sep 30, 2025 | 16.88% |
| Jun 30, 2025 | 15.88% |
| Mar 31, 2025 | 15.89% |
| Dec 31, 2024 | 15.31% |
| Sep 30, 2024 | 17.30% |
| Jun 30, 2024 | 15.77% |
| Mar 31, 2024 | 15.30% |
| Dec 31, 2023 | 14.21% |
| Sep 30, 2023 | 15.64% |
| Jun 30, 2023 | 14.39% |
| Mar 31, 2023 | 100.35% |
| Dec 31, 2022 | 14.06% |
| Sep 30, 2022 | 14.86% |
| Jun 30, 2022 | 13.41% |
| Mar 31, 2022 | 13.96% |
| Dec 31, 2021 | 13.45% |
| Sep 30, 2021 | 14.22% |
API Access
JD.com Gross Margin 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=gross-margin&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();