JD.com (JD) Other Accumulated Expenses (2013 - 2026)
JD.com (JD) reported Other Accumulated Expenses of $245.53 million for Q4 2026.
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Analysis
JD.com (JD) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2026, JD.com posted Other Accumulated Expenses of $246 million.
- Other Accumulated Expenses has a five-year compound annual growth rate of 24.9% (FY2021 to FY2026).
- By year, Other Accumulated Expenses came in at $89 million in FY2025 (-52.4%), $187 million in FY2024 (-18.0%), $228 million in FY2023 (+225.3%) and $70.08 million in FY2022 (-13.5%).
- The Q4 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245.53 Mn |
| Mar 31, 2026 | 226.43 Mn |
| Dec 31, 2025 | 89.19 Mn |
| Sep 30, 2025 | 34.83 Mn |
| Jun 30, 2025 | 131.00 Mn |
| Mar 31, 2025 | 406.73 Mn |
| Dec 31, 2024 | 187.31 Mn |
| Sep 30, 2024 | 77.17 Mn |
| Jun 30, 2024 | 67.98 Mn |
| Mar 31, 2024 | 99.08 Mn |
| Dec 31, 2023 | 227.94 Mn |
| Sep 30, 2023 | 21.78 Mn |
| Jun 30, 2023 | 24.82 Mn |
| Mar 31, 2023 | 37.70 Mn |
| Dec 31, 2022 | 70.08 Mn |
| Sep 30, 2022 | 35.94 Mn |
| Jun 30, 2022 | 47.02 Mn |
| Mar 31, 2022 | 31.36 Mn |
| Dec 31, 2021 | 81.45 Mn |
| Sep 30, 2021 | 65.94 Mn |
API Access
JD.com Other Accumulated Expenses 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=other-accumulated-expenses&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();