JD.com (JD) Change in Accrued Expenses (2019 - 2024)
JD.com (JD) recorded Change in Accrued Expenses of $499 million in FY2025, up 62.5% from $307 million in FY2024.
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Analysis
JD.com (JD) Change in Accrued Expenses (2019 - 2024) Analysis & Trends
Starting with FY2012, JD.com's Change in Accrued Expenses history includes 14 years.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Change in Accrued Expenses since FY2021.
- Per Business Quant data, JD's Change in Accrued Expenses was $307 million in FY2024 (+1.3%), $303 million in FY2023 (-36.6%), $478 million in FY2022 (-42.1%) and $825 million in FY2021 (+12.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | - |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 113.00 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | - |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | -594,000.00 |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 595.00 Mn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 111.08 Mn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -540.37 Mn |
| Mar 31, 2023 | -617.14 Mn |
| Mar 31, 2020 | 99.30 Mn |
| Mar 31, 2019 | -39.29 Mn |
API Access
JD.com Change in Accrued 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=change-in-accured-expenses&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();