Amazon Com (AMZN) Income Taxes Paid (2009 - 2020)
Amazon Com (AMZN) reported Income Taxes Paid of $486 million for Q4 2020.
Analysis
Amazon Com (AMZN) Income Taxes Paid (2009 - 2020) Analysis & Trends
For FY2020, Amazon Com posted Income Taxes Paid of $1.22 billion.
- Income Taxes Paid has a five-year compound annual growth rate of 34.9% (FY2015 to FY2020).
- By year, Income Taxes Paid came in at -$881 million in FY2019, $1.2 billion in FY2018 (+25.4%), $957 million in FY2017 (+132.3%) and $412 million in FY2016 (+50.9%).
- The Q4 2020 figure ranks as the highest quarterly Income Taxes Paid in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (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 | 2.25 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 | 81.41 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 389.75 Mn |
| 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 |
|---|---|
| Jun 30, 2020 | 486.00 Mn |
| Mar 31, 2020 | 305.00 Mn |
| Sep 30, 2019 | 241.00 Mn |
| Jun 30, 2019 | 283.00 Mn |
| Mar 31, 2019 | 168.00 Mn |
| Sep 30, 2018 | 200.00 Mn |
| Jun 30, 2018 | 300.00 Mn |
| Mar 31, 2018 | 513.00 Mn |
| Sep 30, 2017 | 172.00 Mn |
| Jun 30, 2017 | 447.00 Mn |
| Mar 31, 2017 | 246.00 Mn |
| Sep 30, 2016 | 91.00 Mn |
| Jun 30, 2016 | 88.00 Mn |
| Mar 31, 2016 | 139.00 Mn |
| Sep 30, 2015 | 80.00 Mn |
| Jun 30, 2015 | 65.00 Mn |
| Mar 31, 2015 | 55.00 Mn |
| Sep 30, 2014 | 38.00 Mn |
| Jun 30, 2014 | 71.00 Mn |
| Mar 31, 2014 | 38.00 Mn |
API Access
Amazon Com Income Taxes Paid 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=income-taxes-paid&ticker=AMZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();