American Eagle Outfitters (AEO) Operating Income (2009 - 2026)
American Eagle Outfitters (AEO) reported Operating Income of $211.41 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 105.1% from $103.09 million a year earlier and up 649.0% from the prior quarter.
American Eagle Outfitters (AEO) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, American Eagle Outfitters' Operating Income came in at $447.95 million, up 68.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $226.22 million, down 47.1% from FY2025.
- By fiscal year, Operating Income came in at $427.3 million in FY2025 (+91.9%), $222.72 million in FY2024 (-9.8%), $247.05 million in FY2023 (-58.2%) and $591.07 million in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Income in data going back to fiscal Q2 2010.
- Year over year, Operating Income gained in three of the last five quarters, with growth averaging 13.0%.
- The high point for year-over-year Operating Income in five years was fiscal Q2 2024 (growth of 365.9%); the low point was fiscal Q2 2023 (a decline of 91.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $28.23 million (Q1 2027), $95.75 million (Q4 2026) and $112.57 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 923.76 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 211.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 211.41 Mn |
| May 2, 2026 | 28.23 Mn |
| Jan 31, 2026 | 95.75 Mn |
| Nov 1, 2025 | 112.57 Mn |
| Aug 2, 2025 | 103.09 Mn |
| May 3, 2025 | -85.18 Mn |
| Feb 1, 2025 | 142.27 Mn |
| Nov 2, 2024 | 106.09 Mn |
| Aug 3, 2024 | 101.11 Mn |
| May 4, 2024 | 77.84 Mn |
| Feb 3, 2024 | 9.24 Mn |
| Oct 28, 2023 | 125.36 Mn |
| Jul 29, 2023 | 65.29 Mn |
| Apr 29, 2023 | 22.83 Mn |
| Jan 28, 2023 | 73.58 Mn |
| Oct 29, 2022 | 117.55 Mn |
| Jul 30, 2022 | 14.01 Mn |
| Apr 30, 2022 | 41.90 Mn |
| Jan 29, 2022 | 79.95 Mn |
| Oct 30, 2021 | 209.69 Mn |
American Eagle Outfitters Operating Income 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-income&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();