JD.com (JD) Enterprise Value (2014 - 2026)
JD.com's Enterprise Value came in at $7.59 billion for Q4 2026.
Powered by 
Analysis
JD.com (JD) Enterprise Value (2014 - 2026) Analysis & Trends
For FY2026, JD.com's Enterprise Value was $7.57 billion.
- Enterprise Value carries a five-year compound annual growth rate of -36.1% (FY2021 to FY2026).
- Going back by year, Enterprise Value was $14.16 billion in FY2025 (-38.1%), $22.86 billion in FY2024 (-0.5%), $22.97 billion in FY2023 (-57.6%) and $54.19 billion in FY2022 (-23.6%).
- The Q4 2026 figure represents the lowest quarterly Enterprise Value in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.59 Bn |
| Mar 31, 2026 | 15.92 Bn |
| Dec 31, 2025 | 14.17 Bn |
| Sep 30, 2025 | 27.58 Bn |
| Jun 30, 2025 | 22.16 Bn |
| Mar 31, 2025 | 36.66 Bn |
| Dec 31, 2024 | 22.85 Bn |
| Sep 30, 2024 | 38.84 Bn |
| Jun 30, 2024 | 17.82 Bn |
| Mar 31, 2024 | 23.82 Bn |
| Dec 31, 2023 | 22.99 Bn |
| Sep 30, 2023 | 15.93 Bn |
| Jun 30, 2023 | 23.57 Bn |
| Mar 31, 2023 | 40.85 Bn |
| Dec 31, 2022 | 54.41 Bn |
| Sep 30, 2022 | 37.93 Bn |
| Jun 30, 2022 | 56.38 Bn |
| Mar 31, 2022 | 49.39 Bn |
| Dec 31, 2021 | 70.92 Bn |
| Sep 30, 2021 | 66.93 Bn |
API Access
JD.com Enterprise Value 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=enterprise-value&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();