JD.com (JD) Return on Sales [ROS] (2013 - 2026)
JD.com (JD) posted Return on Sales [ROS] of 1.31% for Q4 2026.
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Analysis
JD.com (JD) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For FY2026, JD.com's Return on Sales [ROS] came in at 1.26%.
- Annual Return on Sales [ROS] shows a five-year change of +0.83 percentage points (FY2021 to FY2026).
- In prior years, JD.com's Return on Sales [ROS] was 0.21% in FY2025 (-3.13 pp), 3.34% in FY2024 (+0.94 pp), 2.40% in FY2023 (+0.51 pp) and 1.89% in FY2022 (+1.45 pp).
- The Q4 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 9.65% |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 8.88% |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 19.97% |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 1.31% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31% |
| Mar 31, 2026 | 1.21% |
| Dec 31, 2025 | -1.66% |
| Sep 30, 2025 | -0.35% |
| Jun 30, 2025 | -0.24% |
| Mar 31, 2025 | 3.50% |
| Dec 31, 2024 | 2.45% |
| Sep 30, 2024 | 4.63% |
| Jun 30, 2024 | 3.61% |
| Mar 31, 2024 | 2.96% |
| Dec 31, 2023 | 0.66% |
| Sep 30, 2023 | 3.76% |
| Jun 30, 2023 | 2.87% |
| Mar 31, 2023 | 2.65% |
| Dec 31, 2022 | 1.64% |
| Sep 30, 2022 | 3.58% |
| Jun 30, 2022 | 1.40% |
| Mar 31, 2022 | 1.01% |
| Dec 31, 2021 | -0.14% |
| Sep 30, 2021 | 1.18% |
API Access
JD.com Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();