JD.com (JD) Net Income Attributable to Noncontrolling Interests (2015 - 2026)
JD.com (JD) recorded Net Income Attributable to Noncontrolling Interests of $229 million in Q4 2026.
Analysis
JD.com (JD) Net Income Attributable to Noncontrolling Interests (2015 - 2026) Analysis & Trends
For FY2026, JD.com reported Net Income Attributable to Noncontrolling Interests of $337 million.
- Across earlier years, Net Income Attributable to Noncontrolling Interests came in at $502 million in FY2025 (+11.1%), $452 million in FY2024, -$128 million in FY2023 and -$101 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | - |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 194.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 229.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.00 Mn |
| Mar 31, 2026 | 105.00 Mn |
| Dec 31, 2025 | 213.00 Mn |
| Sep 30, 2025 | 155.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 53.00 Mn |
| Dec 31, 2024 | 138.00 Mn |
| Sep 30, 2024 | 158.00 Mn |
| Jun 30, 2024 | 131.00 Mn |
| Mar 31, 2024 | 33.00 Mn |
| Dec 31, 2023 | -208.00 Mn |
| Sep 30, 2023 | 39.00 Mn |
| Jun 30, 2023 | 47.00 Mn |
| Mar 31, 2023 | -9.00 Mn |
| Dec 31, 2022 | 27.00 Mn |
| Sep 30, 2022 | -1.00 Mn |
| Jun 30, 2022 | -52.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 736,000.00 |
| Sep 30, 2021 | 727,000.00 |
API Access
JD.com Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();