American Eagle Outfitters (AEO) Net Income (2009 - 2026)
American Eagle Outfitters (AEO) recorded Net Income of $133.69 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 74.0% from $76.81 million a year earlier and up 482.8% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, American Eagle Outfitters' Net Income came in at $329.41 million as of Aug 1, 2026, up 70.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $185.52 million, down 43.2% from FY2025.
- Across earlier fiscal years, Net Income came in at $326.9 million in FY2025 (+93.3%), $169.1 million in FY2024 (+35.1%), $125.14 million in FY2023 (-70.2%) and $419.63 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Net Income since fiscal Q3 2022.
- On a year-over-year basis, Net Income rose in two of the last five quarters, with growth averaging 10.1%.
- Peak year-over-year performance for Net Income in the last five years was growth of 267.2% in fiscal Q1 2025, against a decline of 90.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $22.94 million (Q1 2027), $81.44 million (Q4 2026) and $91.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 62.66 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 851.30 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 715.06 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 513.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 641.49 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 133.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 133.69 Mn |
| May 2, 2026 | 22.94 Mn |
| Jan 31, 2026 | 81.44 Mn |
| Nov 1, 2025 | 91.34 Mn |
| Aug 2, 2025 | 76.81 Mn |
| May 3, 2025 | -65.42 Mn |
| Feb 1, 2025 | 101.82 Mn |
| Nov 2, 2024 | 80.02 Mn |
| Aug 3, 2024 | 77.26 Mn |
| May 4, 2024 | 67.75 Mn |
| Feb 3, 2024 | 5.37 Mn |
| Oct 28, 2023 | 96.70 Mn |
| Jul 29, 2023 | 48.57 Mn |
| Apr 29, 2023 | 18.45 Mn |
| Jan 28, 2023 | 54.59 Mn |
| Oct 29, 2022 | 81.27 Mn |
| Jul 30, 2022 | -42.47 Mn |
| Apr 30, 2022 | 31.74 Mn |
| Jan 29, 2022 | 50.43 Mn |
| Oct 30, 2021 | 152.22 Mn |
API Access
American Eagle Outfitters Net 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=net-income&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();