JD.com (JD) Net Cash Flow (2013 - 2026)
JD.com's Net Cash Flow was -$1.72 billion in Q4 2026.
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Analysis
JD.com (JD) Net Cash Flow (2013 - 2026) Analysis & Trends
For FY2026, Net Cash Flow at JD.com came in at -$4.66 billion.
- In earlier years, Net Cash Flow was $4.88 billion in FY2025 (-0.8%), $4.92 billion in FY2024, -$821 million in FY2023 and $721 million in FY2022.
- The Q4 2026 figure marks the lowest quarterly Net Cash Flow in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,813.13 Bn | 2,309.80 Bn | 107.37 Bn | -22.29 Bn |
| 2 | Home Depot | 348.98 Bn | 342.22 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 152.61 Bn | 130.16 Bn | 5.07 Bn | 450.00 Mn |
| 4 | Lowes Companies | 127.51 Bn | 120.47 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Carvana | 79.45 Bn | 70.33 Bn | 1.52 Bn | 429.00 Mn |
| 6 | Ross Stores | 75.20 Bn | 58.12 Bn | 2.12 Bn | 157.76 Mn |
| 7 | O Reilly Automotive | 74.67 Bn | 73.76 Bn | 2.52 Bn | 8.87 Mn |
| 8 | Target | 71.76 Bn | 66.35 Bn | 8.94 Bn | 1.88 Bn |
| 9 | Autozone | 53.55 Bn | 52.40 Bn | 3.52 Bn | 60.48 Mn |
| 10 | JD.com | 34.75 Bn | -76.15 Bn | 8.74 Bn | -1.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.72 Bn |
| Mar 31, 2026 | -4.75 Bn |
| Dec 31, 2025 | 3.35 Bn |
| Sep 30, 2025 | -26.00 Mn |
| Jun 30, 2025 | 2.82 Bn |
| Mar 31, 2025 | -1.28 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.95 Bn |
| Jun 30, 2024 | 447.00 Mn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | -6.23 Bn |
| Sep 30, 2023 | 3.49 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | -532.00 Mn |
| Dec 31, 2022 | -530.00 Mn |
| Sep 30, 2022 | 481.00 Mn |
| Jun 30, 2022 | -1.28 Bn |
| Mar 31, 2022 | 2.17 Bn |
| Dec 31, 2021 | -2.47 Bn |
| Sep 30, 2021 | -1.43 Bn |
API Access
JD.com Net Cash Flow 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=net-cash-flow&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();