JD.com (JD) Price to Earnings (2014 - 2026)
JD.com's (JD) Price to Earnings stood at 14.42 in Q4 2026.
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Analysis
JD.com (JD) Price to Earnings (2014 - 2026) Analysis & Trends
For FY2026, JD.com's Price to Earnings came in at 17.14.
- Across earlier years, Price to Earnings came in at 12.40 in FY2025 (+56.7%), 7.92 in FY2024 (-33.9%), 11.97 in FY2023 (-76.7%) and 51.33 in FY2022.
- The Q4 2026 figure is the highest quarterly Price to Earnings since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.42 |
| Mar 31, 2026 | 18.35 |
| Dec 31, 2025 | 12.82 |
| Sep 30, 2025 | 10.11 |
| Jun 30, 2025 | 7.86 |
| Mar 31, 2025 | 8.51 |
| Dec 31, 2024 | 7.81 |
| Sep 30, 2024 | 11.65 |
| Jun 30, 2024 | 8.47 |
| Mar 31, 2024 | 11.13 |
| Dec 31, 2023 | 12.03 |
| Sep 30, 2023 | 11.96 |
| Jun 30, 2023 | 15.18 |
| Mar 31, 2023 | 21.26 |
| Dec 31, 2022 | 52.95 |
| Sep 30, 2022 | 322.87 |
| Sep 30, 2021 | 24.29 |
| Jun 30, 2021 | 19.30 |
| Mar 31, 2021 | 14.57 |
| Dec 31, 2020 | 15.45 |
API Access
JD.com Price to Earnings 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=price-to-earnings&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();