American Eagle Outfitters (AEO) Operating Margin (2009 - 2026)
American Eagle Outfitters' Operating Margin came in at 15.32% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.28 percentage points from 8.03% a year earlier and up 12.95 percentage points from the prior quarter.
American Eagle Outfitters (AEO) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, American Eagle Outfitters reported Operating Margin of 7.79%, up 2.74 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 4.08%, down 3.94 percentage points from FY2025.
- Operating Margin carries a five-year change of +11.30 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was 8.02% in FY2025 (+3.79 pp), 4.23% in FY2024 (-0.72 pp), 4.95% in FY2023 (-6.84 pp) and 11.80% in FY2022 (+19.01 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Margin since fiscal Q3 2022.
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +0.80 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q1 2027 (a gain of 10.18 percentage points), and the weakest in fiscal Q1 2026 (a drop of 14.62 percentage points).
- Business Quant data shows AEO's Operating Margin at 2.36% (Q1 2027), 5.29% (Q4 2026) and 8.26% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 19.08% |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 15.32% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.32% |
| May 2, 2026 | 2.36% |
| Jan 31, 2026 | 5.29% |
| Nov 1, 2025 | 8.26% |
| Aug 2, 2025 | 8.03% |
| May 3, 2025 | -7.82% |
| Feb 1, 2025 | 8.87% |
| Nov 2, 2024 | 8.23% |
| Aug 3, 2024 | 7.83% |
| May 4, 2024 | 6.80% |
| Feb 3, 2024 | 0.55% |
| Oct 28, 2023 | 9.64% |
| Jul 29, 2023 | 5.44% |
| Apr 29, 2023 | 2.11% |
| Jan 28, 2023 | 4.92% |
| Oct 29, 2022 | 9.48% |
| Jul 30, 2022 | 1.17% |
| Apr 30, 2022 | 3.97% |
| Jan 29, 2022 | 5.30% |
| Oct 30, 2021 | 16.46% |
American Eagle Outfitters Operating Margin 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-margin&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();