American Eagle Outfitters (AEO) Revenue (2009 - 2026)
American Eagle Outfitters (AEO) recorded Revenue of $1.38 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.5% from $1.28 billion a year earlier and up 15.5% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, American Eagle Outfitters' Revenue came in at $5.75 billion as of Aug 1, 2026, up 9.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $5.55 billion, up 4.1% from FY2025.
- Annual Revenue has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $5.33 billion in FY2025 (+1.3%), $5.26 billion in FY2024 (+5.4%), $4.99 billion in FY2023 (-0.4%) and $5.01 billion in FY2022 (+33.3%).
- Quarterly Revenue has ranged from $1.06 billion in fiscal Q1 2023 to $1.81 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 23.5% in fiscal Q3 2022, against a decline of 4.7% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.2 billion (Q1 2027), $1.81 billion (Q4 2026) and $1.36 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.38 Bn |
| May 2, 2026 | 1.20 Bn |
| Jan 31, 2026 | 1.81 Bn |
| Nov 1, 2025 | 1.36 Bn |
| Aug 2, 2025 | 1.28 Bn |
| May 3, 2025 | 1.09 Bn |
| Feb 1, 2025 | 1.60 Bn |
| Nov 2, 2024 | 1.29 Bn |
| Aug 3, 2024 | 1.29 Bn |
| May 4, 2024 | 1.14 Bn |
| Feb 3, 2024 | 1.68 Bn |
| Oct 28, 2023 | 1.30 Bn |
| Jul 29, 2023 | 1.20 Bn |
| Apr 29, 2023 | 1.08 Bn |
| Jan 28, 2023 | 1.50 Bn |
| Oct 29, 2022 | 1.24 Bn |
| Jul 30, 2022 | 1.20 Bn |
| Apr 30, 2022 | 1.06 Bn |
| Jan 29, 2022 | 1.51 Bn |
| Oct 30, 2021 | 1.27 Bn |
API Access
American Eagle Outfitters Revenue 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=revenue&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();