American Eagle Outfitters (AEO) Return on Sales [ROS] (2009 - 2026)
American Eagle Outfitters' Return on Sales [ROS] was 15.32% in 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Eagle Outfitters' Return on Sales [ROS] was 7.79% through Aug 1, 2026, 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.
- Return on Sales [ROS] shows a five-year change of +11.30 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] 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 marks the highest quarterly Return on Sales [ROS] since fiscal Q3 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +0.80 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2027 (a gain of 10.18 percentage points); the worst was fiscal Q1 2026 (a drop of 14.62 percentage points).
- Per Business Quant data, AEO's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 2.36% (Q1 2027), 5.29% (Q4 2026) and 8.26% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | American Eagle Outfitters | 2.97 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();