American Eagle Outfitters (AEO) Assets (2009 - 2026)
American Eagle Outfitters' Assets came in at $4.28 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.4% from $4.06 billion a year earlier and up 4.9% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters' Assets was $4.01 billion, up 4.7% from FY2025.
- Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $3.83 billion in FY2025 (+7.7%), $3.56 billion in FY2024 (+4.0%), $3.42 billion in FY2023 (-9.7%) and $3.79 billion in FY2022 (+10.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Assets in data going back to fiscal Q2 2010.
- Year-over-year, Assets has increased for 11 consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q2 2026 (growth of 14.7%), and the weakest in fiscal Q4 2023 (a decline of 9.7%).
- Business Quant data shows AEO's Assets at $4.08 billion (Q1 2027), $4.01 billion (Q4 2026) and $4.19 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 20.92 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 4.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.28 Bn |
| May 2, 2026 | 4.08 Bn |
| Jan 31, 2026 | 4.01 Bn |
| Nov 1, 2025 | 4.19 Bn |
| Aug 2, 2025 | 4.06 Bn |
| May 3, 2025 | 3.77 Bn |
| Feb 1, 2025 | 3.83 Bn |
| Nov 2, 2024 | 3.74 Bn |
| Aug 3, 2024 | 3.54 Bn |
| May 4, 2024 | 3.56 Bn |
| Feb 3, 2024 | 3.56 Bn |
| Oct 28, 2023 | 3.52 Bn |
| Jul 29, 2023 | 3.43 Bn |
| Apr 29, 2023 | 3.37 Bn |
| Jan 28, 2023 | 3.42 Bn |
| Oct 29, 2022 | 3.67 Bn |
| Jul 30, 2022 | 3.63 Bn |
| Apr 30, 2022 | 3.70 Bn |
| Jan 29, 2022 | 3.79 Bn |
| Oct 30, 2021 | 3.75 Bn |
API Access
American Eagle Outfitters Assets 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=assets&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();