American Eagle Outfitters (AEO) Change in Inventory (2009 - 2026)
American Eagle Outfitters (AEO) posted Change in Inventory of $2.19 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 96.9% from $70.02 million a year earlier and down 98.1% from the prior quarter.
American Eagle Outfitters (AEO) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Inventory at American Eagle Outfitters was $91.37 million, up 54.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $46.37 million, up 117.1% from FY2025.
- In prior fiscal years, American Eagle Outfitters' Change in Inventory was $21.36 million in FY2025 (-53.9%), $46.3 million in FY2024 (+20.7%), $38.36 million in FY2023 (-73.9%) and $147.14 million in FY2022.
- Quarterly Change in Inventory has run from a low of -$206.5 million in fiscal Q4 2023 to a high of $237.43 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last four quarters, with an average decline of 39.2%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q2 2024, with growth of 308.1%; the weakest was fiscal Q2 2027, with a decline of 96.9%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $114.51 million (Q1 2027), -$197.27 million (Q4 2026) and $171.94 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 2.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.19 Mn |
| May 2, 2026 | 114.51 Mn |
| Jan 31, 2026 | -197.27 Mn |
| Nov 1, 2025 | 171.94 Mn |
| Aug 2, 2025 | 70.02 Mn |
| May 3, 2025 | 1.67 Mn |
| Feb 1, 2025 | -164.16 Mn |
| Nov 2, 2024 | 151.77 Mn |
| Aug 3, 2024 | -6.33 Mn |
| May 4, 2024 | 40.08 Mn |
| Feb 3, 2024 | -140.24 Mn |
| Oct 28, 2023 | 123.84 Mn |
| Jul 29, 2023 | 19.63 Mn |
| Apr 29, 2023 | 43.07 Mn |
| Jan 28, 2023 | -206.50 Mn |
| Oct 29, 2022 | 111.18 Mn |
| Jul 30, 2022 | 4.81 Mn |
| Apr 30, 2022 | 128.88 Mn |
| Jan 29, 2022 | -186.73 Mn |
| Oct 30, 2021 | 237.43 Mn |
American Eagle Outfitters Change in 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=change-in-inventory&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();