Amazon Com (AMZN) Change in Accured Expenses (2009 - 2026)
Amazon Com (AMZN) recorded Change in Accured Expenses of -$2.02 billion in Q4 2026.
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Analysis
Amazon Com (AMZN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026, Amazon Com reported Change in Accured Expenses of -$10.06 billion.
- Across earlier years, Change in Accured Expenses came in at -$5.02 billion in FY2025, -$2.9 billion in FY2024, -$2.43 billion in FY2023 and -$1.56 billion in FY2022.
- The Q4 2026 figure is the lowest quarterly Change in Accured Expenses in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 415.00 Mn |
| 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 | 199.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 595.00 Mn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 111.71 Mn |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.02 Bn |
| Mar 31, 2026 | -8.05 Bn |
| Sep 30, 2025 | -2.00 Bn |
| Jun 30, 2025 | -4.95 Bn |
| Mar 31, 2025 | -4.06 Bn |
| Sep 30, 2024 | 129.00 Mn |
| Jun 30, 2024 | -4.15 Bn |
| Mar 31, 2024 | -2.93 Bn |
| Sep 30, 2023 | -1.32 Bn |
| Jun 30, 2023 | -1.94 Bn |
| Mar 31, 2023 | -5.76 Bn |
| Sep 30, 2022 | -20.00 Mn |
| Jun 30, 2022 | -1.41 Bn |
| Mar 31, 2022 | -5.90 Bn |
| Sep 30, 2021 | -1.47 Bn |
| Jun 30, 2021 | -1.69 Bn |
| Mar 31, 2021 | -4.06 Bn |
| Sep 30, 2020 | -310.00 Mn |
| Jun 30, 2020 | 1.70 Bn |
| Mar 31, 2020 | -2.76 Bn |
API Access
Amazon Com Change in Accured 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=AMZN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();