JD.com (JD) EV to EBIT (2015 - 2026)
JD.com's (JD) EV to EBIT was 32.75 for Q2 2026, up 552.8% from 5.02 a year earlier.
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Analysis
JD.com (JD) EV to EBIT (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, JD.com's EV to EBIT came in at -337.95; for FY2025, it came in at 38.80, up 800.7% from FY2024.
- By year, EV to EBIT came in at 4.31 in FY2024 (-31.3%), 6.27 in FY2023 (-66.9%), 18.95 in FY2022 (-82.6%) and 109.12 in FY2021 (+111.9%).
- Five-year quarterly EV to EBIT spans a low of 3.81 in Q3 2023 and a high of 102.19 in Q4 2021.
- Year over year, EV to EBIT gained in five of the last seven quarters, with growth averaging 224.8%.
- The high point for year-over-year EV to EBIT in five years was Q4 2025 (growth of 897.3%); the low point was Q2 2023 (a decline of 87.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.75 |
| Dec 31, 2025 | 41.59 |
| Sep 30, 2025 | 11.82 |
| Jun 30, 2025 | 5.02 |
| Mar 31, 2025 | 6.13 |
| Dec 31, 2024 | 4.17 |
| Sep 30, 2024 | 8.60 |
| Jun 30, 2024 | 4.33 |
| Mar 31, 2024 | 6.24 |
| Dec 31, 2023 | 9.00 |
| Sep 30, 2023 | 3.81 |
| Jun 30, 2023 | 5.54 |
| Mar 31, 2023 | 11.93 |
| Dec 31, 2022 | 19.14 |
| Sep 30, 2022 | 17.99 |
| Jun 30, 2022 | 44.16 |
| Mar 31, 2022 | 63.66 |
| Dec 31, 2021 | 102.19 |
| Sep 30, 2021 | 83.42 |
| Jun 30, 2021 | 76.78 |
API Access
JD.com EV to EBIT 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=ev-to-ebit&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();