American Eagle Outfitters (AEO) Operating Leases (2019 - 2026)
American Eagle Outfitters (AEO) reported Operating Leases of $1.56 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.7% from $1.47 billion a year earlier and up 5.2% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters posted Operating Leases of $1.38 billion, up 21.8% from FY2025.
- Operating Leases has a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $1.13 billion in FY2025 (+25.8%), $901.12 million in FY2024 (-11.8%), $1.02 billion in FY2023 (-11.5%) and $1.15 billion in FY2022 (+0.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now increased in each of the last ten quarters, with growth averaging 24.0% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q2 2026 (growth of 45.1%); the low point was fiscal Q3 2024 (a decline of 14.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.48 billion (Q1 2027), $1.38 billion (Q4 2026) and $1.44 billion (Q3 2026).
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 |
|---|---|
| Aug 1, 2026 | 1.56 Bn |
| May 2, 2026 | 1.48 Bn |
| Jan 31, 2026 | 1.38 Bn |
| Nov 1, 2025 | 1.44 Bn |
| Aug 2, 2025 | 1.47 Bn |
| May 3, 2025 | 1.34 Bn |
| Feb 1, 2025 | 1.13 Bn |
| Nov 2, 2024 | 1.10 Bn |
| Aug 3, 2024 | 1.02 Bn |
| May 4, 2024 | 1.00 Bn |
| Feb 3, 2024 | 901.12 Mn |
| Oct 28, 2023 | 927.02 Mn |
| Jul 29, 2023 | 970.86 Mn |
| Apr 29, 2023 | 987.05 Mn |
| Jan 28, 2023 | 1.02 Bn |
| Oct 29, 2022 | 1.09 Bn |
| Jul 30, 2022 | 1.14 Bn |
| Apr 30, 2022 | 1.15 Bn |
| Jan 29, 2022 | 1.15 Bn |
| Oct 30, 2021 | 1.12 Bn |
API Access
American Eagle Outfitters Operating Leases 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=operating-leases&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();