Amazon Com (AMZN) Accumulated Expenses (2009 - 2026)
Amazon Com (AMZN) posted Accumulated Expenses of $77.56 billion for Q4 2026.
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Analysis
Amazon Com (AMZN) Accumulated Expenses (2009 - 2026) Analysis & Trends
Since Q4 2009, Amazon Com has reported Accumulated Expenses for 18 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- In prior years, Amazon Com's Accumulated Expenses was $75.52 billion in FY2025 (+12.8%), $66.97 billion in FY2024 (+3.5%), $64.71 billion in FY2023 (+3.4%) and $62.57 billion in FY2022 (+20.8%).
- The Q4 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2009.
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 |
|---|---|
| Sep 30, 2026 | 77.56 Bn |
| Jun 30, 2026 | 73.41 Bn |
| Mar 31, 2026 | 71.12 Bn |
| Dec 31, 2025 | 75.52 Bn |
| Sep 30, 2025 | 68.05 Bn |
| Jun 30, 2025 | 66.97 Bn |
| Mar 31, 2025 | 66.33 Bn |
| Dec 31, 2024 | 66.97 Bn |
| Sep 30, 2024 | 60.60 Bn |
| Jun 30, 2024 | 60.35 Bn |
| Mar 31, 2024 | 63.97 Bn |
| Dec 31, 2023 | 64.71 Bn |
| Sep 30, 2023 | 58.81 Bn |
| Jun 30, 2023 | 64.24 Bn |
| Mar 31, 2023 | 66.38 Bn |
| Dec 31, 2022 | 62.57 Bn |
| Sep 30, 2022 | 59.97 Bn |
| Jun 30, 2022 | 56.25 Bn |
| Mar 31, 2022 | 58.14 Bn |
| Dec 31, 2021 | 51.78 Bn |
API Access
Amazon 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=AMZN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AMZN", "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=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();