JD.com (JD) Accumulated Expenses (2013 - 2026)
JD.com (JD) reported Accumulated Expenses of $7.05 billion for Q2 2026, up 13.3% from $6.22 billion a year earlier but down 8.5% from the prior quarter.
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Analysis
JD.com (JD) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, JD.com posted Accumulated Expenses of $7.16 billion, up 13.6% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $6.3 billion in FY2024 (+2.7%), $6.13 billion in FY2023 (-0.6%), $6.17 billion in FY2022 (+14.1%) and $5.41 billion in FY2021 (+17.5%).
- Five-year quarterly Accumulated Expenses spans a low of $4.88 billion in Q3 2021 and a high of $7.71 billion in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last 33 quarters, with growth averaging 8.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 1.0% (Q2 2023) to 24.7% (Q1 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.71 billion (Q1 2026), $7.06 billion (Q4 2025) and $6.59 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.02 Bn |
| Mar 31, 2026 | 7.67 Bn |
| Dec 31, 2025 | 7.06 Bn |
| Sep 30, 2025 | 6.56 Bn |
| Jun 30, 2025 | 6.22 Bn |
| Mar 31, 2025 | 6.96 Bn |
| Dec 31, 2024 | 6.40 Bn |
| Sep 30, 2024 | 5.81 Bn |
| Jun 30, 2024 | 5.80 Bn |
| Mar 31, 2024 | 6.73 Bn |
| Dec 31, 2023 | 6.05 Bn |
| Sep 30, 2023 | 5.85 Bn |
| Jun 30, 2023 | 5.70 Bn |
| Mar 31, 2023 | 6.48 Bn |
| Dec 31, 2022 | 5.99 Bn |
| Sep 30, 2022 | 5.85 Bn |
| Jun 30, 2022 | 5.53 Bn |
| Mar 31, 2022 | 5.17 Bn |
| Dec 31, 2021 | 5.39 Bn |
| Sep 30, 2021 | 4.86 Bn |
API Access
JD.com 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=accumulated-expenses&ticker=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();