JD.com (JD) Net Long-Term Debt Issued (Repaid) (2020 - 2024)
JD.com (JD) reported Net Long-Term Debt Issued (Repaid) of $1.47 billion for FY2025, down 25.4% from $1.97 billion in FY2024.
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Analysis
JD.com (JD) Net Long-Term Debt Issued (Repaid) (2020 - 2024) Analysis & Trends
Dating back to FY2012, JD.com's Net Long-Term Debt Issued (Repaid) record includes 12 years.
- Net Long-Term Debt Issued (Repaid) has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Five-year annual Net Long-Term Debt Issued (Repaid) spans a low of -$5 million in FY2021 and a high of $1.97 billion in FY2024.
- According to Business Quant data, Net Long-Term Debt Issued (Repaid) came in at $1.97 billion in FY2024 (+613.4%), $276 million in FY2023 (-81.8%), $1.52 billion in FY2022 and -$5 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 47.56 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -1.56 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 | -21.00 Mn |
| 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 | -38.00 Mn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | -476.85 Mn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 170.19 Mn |
| Mar 31, 2023 | 1.30 Bn |
| Mar 31, 2020 | 985.25 Mn |
API Access
JD.com Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();