American Eagle Outfitters (AEO) Cost of Revenue (2009 - 2026)
American Eagle Outfitters' Cost of Revenue was $708.31 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 9.6% from $783.71 million a year earlier and down 4.2% from the prior quarter.
American Eagle Outfitters (AEO) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Eagle Outfitters' Cost of Revenue was $3.42 billion through Aug 1, 2026, up 3.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.52 billion, up 8.7% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $3.24 billion in FY2025 (+0.1%), $3.24 billion in FY2024 (-0.2%), $3.24 billion in FY2023 (+7.5%) and $3.02 billion in FY2022 (+15.6%).
- The fiscal Q2 2027 figure marks the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with growth averaging 1.9%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2023 (growth of 19.7%); the worst was fiscal Q2 2024 (a decline of 9.7%).
- Per Business Quant data, AEO's Cost of Revenue in the three fiscal quarters before Q2 2027 was $739.11 million (Q1 2027), $1.16 billion (Q4 2026) and $810.82 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | American Eagle Outfitters | 2.97 Bn | 2.37 Bn | 672.06 Mn | 708.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 708.31 Mn |
| May 2, 2026 | 739.11 Mn |
| Jan 31, 2026 | 1.16 Bn |
| Nov 1, 2025 | 810.82 Mn |
| Aug 2, 2025 | 783.71 Mn |
| May 3, 2025 | 767.18 Mn |
| Feb 1, 2025 | 1.01 Bn |
| Nov 2, 2024 | 762.47 Mn |
| Aug 3, 2024 | 792.16 Mn |
| May 4, 2024 | 679.63 Mn |
| Feb 3, 2024 | 1.06 Bn |
| Oct 28, 2023 | 757.26 Mn |
| Jul 29, 2023 | 747.86 Mn |
| Apr 29, 2023 | 667.75 Mn |
| Jan 28, 2023 | 988.66 Mn |
| Oct 29, 2022 | 760.81 Mn |
| Jul 30, 2022 | 828.11 Mn |
| Apr 30, 2022 | 667.01 Mn |
| Jan 29, 2022 | 1.02 Bn |
| Oct 30, 2021 | 709.55 Mn |
American Eagle Outfitters Cost of Revenue 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=cost-of-revenue&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();