JD.com (JD) Receivables (2013 - 2025)
JD.com's Receivables came in at $4.16 billion for Q4 2025, down 1.8% from $4.23 billion a year earlier.
Analysis
JD.com (JD) Receivables (2013 - 2025) Analysis & Trends
At the end of FY2025, JD.com's Receivables was $4.1 billion, down 1.5% from FY2024.
- Receivables carries a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Going back by year, Receivables was $4.17 billion in FY2024 (+31.9%), $3.16 billion in FY2023 (-18.5%), $3.87 billion in FY2022 (+41.9%) and $2.73 billion in FY2021 (+29.3%).
- The Q4 2025 figure represents the lowest quarterly Receivables since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,675.51 Bn | 2,675.51 Bn | - | - |
| 2 | Home Depot | 338.11 Bn | 331.35 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 156.06 Bn | 133.61 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 121.53 Bn | 114.50 Bn | 8.58 Bn | 1.24 Bn |
| 5 | O Reilly Automotive | 74.75 Bn | 74.75 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 248.14 Mn |
| 7 | Target | 71.80 Bn | 66.38 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.49 Bn | 52.33 Bn | 3.52 Bn | 755.03 Mn |
| 9 | Carvana | 51.43 Bn | 41.01 Bn | 1.52 Bn | 320.00 Mn |
| 10 | JD.com | 37.63 Bn | -82.57 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.21 Bn |
| Dec 31, 2024 | 4.17 Bn |
| Mar 31, 2024 | 2.83 Bn |
| Dec 31, 2023 | 3.23 Bn |
| Dec 31, 2022 | 3.84 Bn |
| Dec 31, 2021 | 2.73 Bn |
| Dec 31, 2020 | 2.11 Bn |
| Mar 31, 2020 | 1.52 Bn |
| Dec 31, 2019 | 1.49 Bn |
| Sep 30, 2019 | 2.28 Bn |
| Dec 31, 2018 | 2.07 Bn |
| Dec 31, 2017 | 4.16 Bn |
| Dec 31, 2016 | 5.41 Bn |
| Mar 31, 2016 | 1.89 Bn |
| Dec 31, 2015 | 1.40 Bn |
| Sep 30, 2015 | 1.17 Bn |
| Jun 30, 2015 | 1.01 Bn |
| Mar 31, 2015 | 560.66 Mn |
| Dec 31, 2014 | 460.04 Mn |
| Sep 30, 2014 | 321.49 Mn |
API Access
JD.com Receivables 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=receivables&ticker=JD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();