Amazon Com (AMZN) Accumulated Expenses (2009 - 2026)
Amazon Com's (AMZN) quarterly Accumulated Expenses came in at $73.4 billion in Q2 2026, up 9.6% year-over-year from $67.0 billion in Q2 2025, and up 3.21% quarter-over-quarter from $71.1 billion in Q1 2026.
Amazon Com (AMZN) Accumulated Expenses (2009 - 2026) Analysis & Trends
Amazon Com has disclosed Accumulated Expenses across 18 years of filings, most recently posting $73.4 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 9.6% year-over-year to $73.4 billion; the TTM figure through Jun 2026 stood at $73.4 billion (up 9.6% YoY), while the FY2026 annual figure was $73.4 billion, up 9.6% from the prior year.
- Accumulated Expenses came in at $73.4 billion for Q2 2026 at Amazon Com, up from $71.1 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $75.5 billion in Q4 2025 to a low of $56.3 billion in Q2 2022.
- Average Accumulated Expenses over 5 years is $64.7 billion, with a median of $64.5 billion recorded in 2023.
- Year-over-year, Accumulated Expenses surged 44.36% in 2022 and decreased 6.05% in 2024.
- Over 5 years, Accumulated Expenses stood at $62.6 billion in 2022, then grew by 3.43% to $64.7 billion in 2023, then grew by 3.49% to $67.0 billion in 2024, then rose by 12.78% to $75.5 billion in 2025, then decreased by 2.8% to $73.4 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $73.4 billion in Q2 2026, $71.1 billion in Q1 2026, and $75.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 41.55 Bn |
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_KEY
import 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();