American Eagle Outfitters (AEO) Enterprise Value (2009 - 2026)
American Eagle Outfitters (AEO) reported Enterprise Value of $2.73 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 61.1% from $1.7 billion a year earlier but down 0.1% from the prior quarter.
American Eagle Outfitters (AEO) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, American Eagle Outfitters' Enterprise Value came in at $2.28 billion, up 109.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.7 billion, up 37.5% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $2.69 billion in FY2025 (-26.1%), $3.64 billion in FY2024 (+26.1%), $2.88 billion in FY2023 (-13.7%) and $3.34 billion in FY2022 (+14.4%).
- Five-year quarterly Enterprise Value spans a low of $1.7 billion in fiscal Q2 2026 and a high of $4.47 billion in fiscal Q1 2025.
- Year over year, Enterprise Value has now increased in each of the last three quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2022 (growth of 105.8%); the low point was fiscal Q1 2023 (a decline of 59.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.73 billion (Q1 2027), $3.7 billion (Q4 2026) and $2.72 billion (Q3 2026).
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.73 Bn |
| May 2, 2026 | 2.73 Bn |
| Jan 31, 2026 | 3.70 Bn |
| Nov 1, 2025 | 2.72 Bn |
| Aug 2, 2025 | 1.70 Bn |
| May 3, 2025 | 1.84 Bn |
| Feb 1, 2025 | 2.69 Bn |
| Nov 2, 2024 | 3.58 Bn |
| Aug 3, 2024 | 3.66 Bn |
| May 4, 2024 | 4.47 Bn |
| Feb 3, 2024 | 3.64 Bn |
| Oct 28, 2023 | 3.19 Bn |
| Jul 29, 2023 | 2.58 Bn |
| Apr 29, 2023 | 2.53 Bn |
| Jan 28, 2023 | 2.88 Bn |
| Oct 29, 2022 | 2.03 Bn |
| Jul 30, 2022 | 2.16 Bn |
| Apr 30, 2022 | 2.33 Bn |
| Jan 29, 2022 | 3.34 Bn |
| Oct 30, 2021 | 3.26 Bn |
American Eagle Outfitters Enterprise Value 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=enterprise-value&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();