JD.com (JD) Return on Sales [ROS] (2013 - 2026)
JD.com (JD) posted Return on Sales [ROS] of 1.31% for Q2 2026, up 1.55 percentage points from -0.24% a year earlier and up 0.11 percentage points from the prior quarter.
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Analysis
JD.com (JD) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at JD.com was 0.12%, down 2.27 percentage points year-over-year; for FY2025, it was 0.21%, down 3.14 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -1.45 percentage points (FY2020 to FY2025).
- In prior years, JD.com's Return on Sales [ROS] was 3.34% in FY2024 (+0.94 pp), 2.40% in FY2023 (+0.51 pp), 1.89% in FY2022 (+1.45 pp) and 0.44% in FY2021 (-1.22 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -1.32 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 2.41 percentage points; the weakest was Q3 2025, with a drop of 4.98 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 1.20% (Q1 2026), -1.66% (Q4 2025) and -0.35% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 20.15% |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 9.22% |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 9.65% |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 19.08% |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 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();