Amazon Com (AMZN) Other Operating Expenses (2009 - 2026)
Amazon Com's Other Operating Expenses came in at $33.16 billion for Q4 2026.
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Analysis
Amazon Com (AMZN) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026, Amazon Com's Other Operating Expenses was $62.73 billion.
- Other Operating Expenses carries a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- Going back by year, Other Operating Expenses was $108.52 billion in FY2025 (+22.6%), $88.54 billion in FY2024 (+3.4%), $85.62 billion in FY2023 (+16.9%) and $73.21 billion in FY2022 (+30.6%).
- The Q4 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,653.16 Bn | 2,653.16 Bn | - |
| 2 | Home Depot | 338.76 Bn | 332.00 Bn | 16.12 Bn |
| 3 | Tjx Companies | 155.97 Bn | 133.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 121.83 Bn | 114.80 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.90 Bn | 74.90 Bn | 2.68 Bn |
| 6 | Ross Stores | 73.46 Bn | 56.38 Bn | 2.12 Bn |
| 7 | Target | 72.26 Bn | 66.85 Bn | 8.94 Bn |
| 8 | Autozone | 53.81 Bn | 52.66 Bn | 3.52 Bn |
| 9 | Carvana | 51.56 Bn | 41.15 Bn | 1.52 Bn |
| 10 | JD.com | 37.45 Bn | -82.75 Bn | 8.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.07 Bn |
| Mar 31, 2026 | 29.12 Bn |
| Sep 30, 2025 | 26.09 Bn |
| Jun 30, 2025 | 26.97 Bn |
| Mar 31, 2025 | 22.69 Bn |
| Sep 30, 2024 | 21.98 Bn |
| Jun 30, 2024 | 22.21 Bn |
| Mar 31, 2024 | 20.20 Bn |
| Sep 30, 2023 | 20.96 Bn |
| Jun 30, 2023 | 21.79 Bn |
| Mar 31, 2023 | 20.23 Bn |
| Sep 30, 2022 | 19.32 Bn |
| Jun 30, 2022 | 17.98 Bn |
| Mar 31, 2022 | -249.00 Mn |
| Sep 30, 2021 | 11.00 Mn |
| Jun 30, 2021 | -11.00 Mn |
| Mar 31, 2021 | -38.00 Mn |
| Sep 30, 2020 | -62.00 Mn |
| Jun 30, 2020 | -290.00 Mn |
| Mar 31, 2020 | -70.00 Mn |
API Access
Amazon Com Other Operating 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-operating-expenses&ticker=AMZN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();