JD.com (JD) Total Non-Current Liabilities (2015 - 2026)
JD.com (JD) reported Total Non-Current Liabilities of $13.01 billion for Q2 2026, up 7.1% from $12.15 billion a year earlier but down 6.5% from the prior quarter.
JD.com (JD) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, JD.com posted Total Non-Current Liabilities of $13.63 billion, up 16.5% from FY2024.
- Total Non-Current Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $11.7 billion in FY2024 (+24.1%), $9.43 billion in FY2023 (+19.2%), $7.91 billion in FY2022 (+79.4%) and $4.41 billion in FY2021 (+7.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $4.39 billion in Q4 2021 and a high of $13.91 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 30 quarters, with growth averaging 19.2% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 5.8% (Q2 2025) and 74.6% (Q4 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.91 billion (Q1 2026), $13.44 billion (Q4 2025) and $13 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,697.47 Bn | 2,697.47 Bn | - | - |
| 2 | Home Depot | 336.50 Bn | 329.74 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 155.02 Bn | 132.57 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 120.47 Bn | 113.43 Bn | 8.58 Bn | 62.52 Bn |
| 5 | O Reilly Automotive | 74.44 Bn | 74.44 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 72.64 Bn | 55.57 Bn | 2.12 Bn | 8.94 Bn |
| 7 | Target | 71.50 Bn | 66.08 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 53.33 Bn | 52.17 Bn | 3.52 Bn | 23.28 Bn |
| 9 | Carvana | 51.38 Bn | 40.96 Bn | 1.52 Bn | 5.16 Bn |
| 10 | JD.com | 37.66 Bn | -82.54 Bn | 8.74 Bn | 13.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Bn |
| Mar 31, 2026 | 13.88 Bn |
| Dec 31, 2025 | 13.63 Bn |
| Sep 30, 2025 | 13.00 Bn |
| Jun 30, 2025 | 12.15 Bn |
| Mar 31, 2025 | 11.71 Bn |
| Dec 31, 2024 | 11.70 Bn |
| Sep 30, 2024 | 11.59 Bn |
| Jun 30, 2024 | 11.48 Bn |
| Mar 31, 2024 | 9.38 Bn |
| Dec 31, 2023 | 9.42 Bn |
| Sep 30, 2023 | 8.04 Bn |
| Jun 30, 2023 | 7.85 Bn |
| Mar 31, 2023 | 7.69 Bn |
| Dec 31, 2022 | 7.84 Bn |
| Sep 30, 2022 | 7.31 Bn |
| Jun 30, 2022 | 6.91 Bn |
| Mar 31, 2022 | 5.88 Bn |
| Dec 31, 2021 | 4.41 Bn |
| Sep 30, 2021 | 4.60 Bn |
JD.com Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();