American Eagle Outfitters (AEO) Buildings (2011 - 2026)
American Eagle Outfitters (AEO) recorded Buildings of $228.63 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 0.1% from $228.39 million a year earlier.
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Analysis
American Eagle Outfitters (AEO) Buildings (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, American Eagle Outfitters' Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- Across earlier fiscal years, Buildings came in at $228.39 million in FY2025 (+2.6%), $222.66 million in FY2024 (-0.1%), $222.86 million in FY2023 (+1.7%) and $219.19 million in FY2022 (+1.3%).
- The fiscal Q4 2026 figure is the highest quarterly Buildings in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 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 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 228.63 Mn |
| Feb 1, 2025 | 228.39 Mn |
| Feb 3, 2024 | 222.66 Mn |
| Jan 28, 2023 | 222.86 Mn |
| Jan 29, 2022 | 219.19 Mn |
| Jan 30, 2021 | 216.43 Mn |
| Feb 1, 2020 | 211.81 Mn |
| Feb 2, 2019 | 209.49 Mn |
| Feb 3, 2018 | 206.51 Mn |
| Jan 28, 2017 | 204.89 Mn |
| Jan 30, 2016 | 204.69 Mn |
| Jan 31, 2015 | 204.19 Mn |
| Feb 1, 2014 | 140.60 Mn |
| Feb 2, 2013 | 153.73 Mn |
| Jan 28, 2012 | 153.54 Mn |
| Jan 29, 2011 | 152.98 Mn |
API Access
American Eagle Outfitters Buildings 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=buildings&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();