JD.com (JD) Non Operating Income (2024 - 2026)
JD.com's Non Operating Income came in at $795.95 million for FY2023, compared with -$872.18 million in FY2022.
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Analysis
JD.com (JD) Non Operating Income (2024 - 2026) Analysis & Trends
Going back to FY2014, JD.com's Non Operating Income data covers 10 years.
- Non Operating Income carries a five-year compound annual growth rate of 136.8% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Non Operating Income since FY2020.
- Per Business Quant, earlier years put Non Operating Income at -$872.18 million in FY2022, -$1.04 billion in FY2021, $5.58 billion in FY2020 (+719.9%) and $680.4 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 53.40 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | -524.00 Mn |
| 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 | -61.67 Mn |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -264.00 Mn |
| Dec 31, 2025 | -389.00 Mn |
| Sep 30, 2025 | -201.00 Mn |
| Mar 31, 2025 | -156.00 Mn |
| Dec 31, 2024 | -345.81 Mn |
| Sep 30, 2024 | -144.41 Mn |
| Mar 31, 2024 | -164.88 Mn |
API Access
JD.com Non Operating Income 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-operating-income&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-operating-income&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();