American Eagle Outfitters (AEO) Gross Margin (2009 - 2026)
American Eagle Outfitters' Gross Margin was 48.69% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.74 percentage points from 38.95% a year earlier and up 10.52 percentage points from the prior quarter.
American Eagle Outfitters (AEO) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Eagle Outfitters' Gross Margin was 40.54% through Aug 1, 2026, up 3.56 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 36.51%, down 2.69 percentage points from FY2025.
- Gross Margin shows a five-year change of +5.97 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 39.20% in FY2025 (+0.72 pp), 38.48% in FY2024 (+3.50 pp), 34.98% in FY2023 (-4.77 pp) and 39.75% in FY2022 (+9.21 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Gross Margin in data going back to fiscal Q2 2010.
- Compared with a year earlier, Gross Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.71 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q2 2027 (a gain of 9.74 percentage points); the worst was fiscal Q2 2023 (a drop of 11.19 percentage points).
- Per Business Quant data, AEO's Gross Margin in the three fiscal quarters before Q2 2027 was 38.16% (Q1 2027), 35.95% (Q4 2026) and 40.50% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 33.04% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 33.83% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 33.67% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 51.45% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 18.76% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 52.15% |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 48.69% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 48.69% |
| May 2, 2026 | 38.16% |
| Jan 31, 2026 | 35.95% |
| Nov 1, 2025 | 40.50% |
| Aug 2, 2025 | 38.95% |
| May 3, 2025 | 29.59% |
| Feb 1, 2025 | 37.34% |
| Nov 2, 2024 | 40.85% |
| Aug 3, 2024 | 38.64% |
| May 4, 2024 | 40.59% |
| Feb 3, 2024 | 36.61% |
| Oct 28, 2023 | 41.80% |
| Jul 29, 2023 | 37.72% |
| Apr 29, 2023 | 38.22% |
| Jan 28, 2023 | 33.92% |
| Oct 29, 2022 | 38.67% |
| Jul 30, 2022 | 30.88% |
| Apr 30, 2022 | 36.78% |
| Jan 29, 2022 | 32.41% |
| Oct 30, 2021 | 44.31% |
American Eagle Outfitters Gross 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=gross-margin&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();