American Eagle Outfitters (AEO) Inventory (2009 - 2026)
American Eagle Outfitters' Inventory was $817.91 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 13.9% from $718.34 million a year earlier and up 0.2% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Inventory at American Eagle Outfitters came in at $701.97 million, up 10.3% from FY2025.
- Inventory shows a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $636.66 million in FY2025 (-0.6%), $640.66 million in FY2024 (+9.5%), $585.08 million in FY2023 (+5.7%) and $553.46 million in FY2022 (+36.5%).
- Quarterly Inventory has moved between $553.46 million (fiscal Q4 2022) and $891.23 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Inventory has increased for five straight quarters, with growth averaging 8.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2022 (growth of 36.5%); the worst was fiscal Q1 2024 (a decline of 8.4%).
- Per Business Quant data, AEO's Inventory in the three fiscal quarters before Q2 2027 was $816.67 million (Q1 2027), $701.97 million (Q4 2026) and $891.23 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 817.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 817.91 Mn |
| May 2, 2026 | 816.67 Mn |
| Jan 31, 2026 | 701.97 Mn |
| Nov 1, 2025 | 891.23 Mn |
| Aug 2, 2025 | 718.34 Mn |
| May 3, 2025 | 645.06 Mn |
| Feb 1, 2025 | 636.66 Mn |
| Nov 2, 2024 | 804.26 Mn |
| Aug 3, 2024 | 663.66 Mn |
| May 4, 2024 | 681.06 Mn |
| Feb 3, 2024 | 640.66 Mn |
| Oct 28, 2023 | 769.32 Mn |
| Jul 29, 2023 | 636.97 Mn |
| Apr 29, 2023 | 624.85 Mn |
| Jan 28, 2023 | 585.08 Mn |
| Oct 29, 2022 | 797.73 Mn |
| Jul 30, 2022 | 687.05 Mn |
| Apr 30, 2022 | 682.10 Mn |
| Jan 29, 2022 | 553.46 Mn |
| Oct 30, 2021 | 739.81 Mn |
API Access
American Eagle Outfitters Inventory 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=inventory&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();