American Eagle Outfitters (AEO) Exchange Rate Effect (2009 - 2026)
American Eagle Outfitters' Exchange Rate Effect came in at $237,000 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 87.9% from $1.96 million a year earlier but up 130.1% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, American Eagle Outfitters reported Exchange Rate Effect of $2.13 million, up 37.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.28 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 106.7% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was -$2.51 million in FY2025, $81,000 in FY2024, -$1.59 million in FY2023 and $420,000 in FY2022 (+382.8%).
- The five-year range for quarterly Exchange Rate Effect is -$2.44 million (fiscal Q3 2024) to $2.12 million (fiscal Q2 2024).
- Business Quant data shows AEO's Exchange Rate Effect at $103,000 (Q1 2027), $1.12 million (Q4 2026) and $664,000 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -503,000.00 |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 237,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 237,000.00 |
| May 2, 2026 | 103,000.00 |
| Jan 31, 2026 | 1.12 Mn |
| Nov 1, 2025 | 664,000.00 |
| Aug 2, 2025 | 1.96 Mn |
| May 3, 2025 | -470,000.00 |
| Feb 1, 2025 | 372,000.00 |
| Nov 2, 2024 | -315,000.00 |
| Aug 3, 2024 | -2.10 Mn |
| May 4, 2024 | -472,000.00 |
| Feb 3, 2024 | 444,000.00 |
| Oct 28, 2023 | -2.44 Mn |
| Jul 29, 2023 | 2.12 Mn |
| Apr 29, 2023 | -40,000.00 |
| Jan 28, 2023 | 135,000.00 |
| Oct 29, 2022 | -945,000.00 |
| Jul 30, 2022 | -46,000.00 |
| Apr 30, 2022 | -733,000.00 |
| Jan 29, 2022 | 333,000.00 |
| Jul 31, 2021 | 820,000.00 |
API Access
American Eagle Outfitters 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=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "AEO", "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=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();