JD.com (JD) Enterprise Value (2014 - 2026)
JD.com's Enterprise Value came in at $7.68 billion for Q2 2026, down 63.6% from $21.12 billion a year earlier and down 52.0% from the prior quarter.
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Analysis
JD.com (JD) Enterprise Value (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, JD.com reported Enterprise Value of -$79.27 billion; for FY2025, it was $14.98 billion, down 34.5% from FY2024.
- Enterprise Value has declined in each of the last five years, with a five-year compound annual growth rate of -31.2% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $22.86 billion in FY2024 (-0.5%), $22.97 billion in FY2023 (-57.6%), $54.19 billion in FY2022 (-23.6%) and $70.93 billion in FY2021 (-27.2%).
- The Q2 2026 figure represents the lowest quarterly Enterprise Value in data going back to Q2 2014.
- Year-over-year, Enterprise Value has declined for four consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q3 2024 (growth of 148.6%), and the weakest in Q2 2026 (a decline of 63.6%).
- Business Quant data shows JD's Enterprise Value at $16 billion (Q1 2026), $14.45 billion (Q4 2025) and $27.73 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | JD.com | 38.09 Bn | -82.11 Bn | 8.71 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 | 22.20 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();