Amazon Com (AMZN) Exchange Rate Effect (2009 - 2026)
Amazon Com (AMZN) reported Exchange Rate Effect of -$53 million for Q4 2026.
Analysis
Amazon Com (AMZN) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026, Amazon Com posted Exchange Rate Effect of -$314 million.
- By year, Exchange Rate Effect came in at $1.16 billion in FY2025, -$1.3 billion in FY2024, $403 million in FY2023 and -$1.09 billion in FY2022.
- The Q4 2026 figure ranks as the highest quarterly Exchange Rate Effect since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | -26.00 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 | 680,000.00 |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | - |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | - |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | -503,000.00 |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn | -178.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.00 Mn |
| Mar 31, 2026 | -1.00 Mn |
| Sep 30, 2025 | -397.00 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 416.00 Mn |
| Sep 30, 2024 | 690.00 Mn |
| Jun 30, 2024 | -312.00 Mn |
| Mar 31, 2024 | -429.00 Mn |
| Sep 30, 2023 | -502.00 Mn |
| Jun 30, 2023 | 69.00 Mn |
| Mar 31, 2023 | 145.00 Mn |
| Sep 30, 2022 | -1.33 Bn |
| Jun 30, 2022 | -412.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Sep 30, 2021 | -199.00 Mn |
| Jun 30, 2021 | 234.00 Mn |
| Mar 31, 2021 | -293.00 Mn |
| Sep 30, 2020 | 377.00 Mn |
| Jun 30, 2020 | 127.00 Mn |
| Mar 31, 2020 | -484.00 Mn |
API Access
Amazon Com Exchange Rate Effect 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=exchange-rate-effect&ticker=AMZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AMZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();