JD.com (JD) Other non-cash items (2023 - 2024)
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Analysis
JD.com (JD) Other non-cash items (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn |
API Access
JD.com Other non-cash items 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=other-non-cash-items&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();