JD.com (JD) Tax Rate (2014 - 2025)
JD.com's Tax Rate was 8.62% in FY2025, down 4.74 percentage points from 13.36% in FY2024.
Analysis
JD.com (JD) Tax Rate (2014 - 2025) Analysis & Trends
From FY2017 onward, JD.com has reported Tax Rate for 8 years.
- Tax Rate has now declined for three consecutive years, though with a five-year change of +5.70 percentage points (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Tax Rate since FY2020.
- Per Business Quant data, Tax Rate in earlier years was 13.36% in FY2024 (-13.17 pp), 26.52% in FY2023 (-3.55 pp) and 30.07% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Tax Rate (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,830.92 Bn | 2,327.59 Bn | 107.37 Bn | 23.00% |
| 2 | Home Depot | 342.75 Bn | 335.99 Bn | 16.12 Bn | 24.53% |
| 3 | Tjx Companies | 151.24 Bn | 128.78 Bn | 5.07 Bn | 24.68% |
| 4 | Lowes Companies | 125.71 Bn | 118.67 Bn | 8.58 Bn | 24.44% |
| 5 | O Reilly Automotive | 74.23 Bn | 73.32 Bn | 2.52 Bn | 22.62% |
| 6 | Ross Stores | 74.10 Bn | 57.03 Bn | 2.12 Bn | 24.98% |
| 7 | Target | 72.20 Bn | 66.78 Bn | 8.94 Bn | 23.67% |
| 8 | Carvana | 53.35 Bn | 42.93 Bn | 1.52 Bn | 12.50% |
| 9 | Autozone | 53.16 Bn | 52.00 Bn | 3.52 Bn | 20.26% |
| 10 | JD.com | 41.60 Bn | -78.60 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 0.21% |
| Dec 31, 2020 | 1.39% |
| Mar 31, 2019 | 3.72% |
| Dec 31, 2017 | 1.37% |
| Sep 30, 2017 | 5.16% |
| Jun 30, 2017 | 4.97% |
| Mar 31, 2017 | 20.65% |
| Dec 31, 2016 | 7.55% |
| Sep 30, 2016 | 0.33% |
| Jun 30, 2016 | 50.50% |
| Mar 31, 2016 | 2.32% |
| Dec 31, 2015 | 0.12% |
| Sep 30, 2015 | 0.00% |
| Jun 30, 2015 | 0.40% |
| Mar 31, 2015 | 0.42% |
| Dec 31, 2014 | 3.47% |
| Sep 30, 2014 | 3.92% |
| Jun 30, 2014 | 0.06% |
API Access
JD.com Tax Rate 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=tax-rate&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-rate", "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=tax-rate&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();