American Eagle Outfitters (AEO) Other Accumulated Expenses (2010 - 2026)
American Eagle Outfitters' Other Accumulated Expenses was $90.07 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 17.1% from $76.93 million a year earlier but down 16.5% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Accumulated Expenses at American Eagle Outfitters came in at $96.88 million, up 29.6% from FY2025.
- Other Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $74.75 million in FY2025 (+1.6%), $73.6 million in FY2024 (+10.0%), $66.9 million in FY2023 (-5.3%) and $70.63 million in FY2022 (+27.6%).
- Quarterly Other Accumulated Expenses has moved between $56.09 million (fiscal Q3 2022) and $107.92 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for three straight quarters, with growth averaging 12.9% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q1 2027 (growth of 43.4%); the worst was fiscal Q3 2026 (a decline of 22.7%).
- Per Business Quant data, AEO's Other Accumulated Expenses in the three fiscal quarters before Q2 2027 was $107.92 million (Q1 2027), $96.88 million (Q4 2026) and $73.89 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | American Eagle Outfitters | 2.97 Bn | 2.37 Bn | 672.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 90.07 Mn |
| May 2, 2026 | 107.92 Mn |
| Jan 31, 2026 | 96.88 Mn |
| Nov 1, 2025 | 73.89 Mn |
| Aug 2, 2025 | 76.93 Mn |
| May 3, 2025 | 75.26 Mn |
| Feb 1, 2025 | 74.75 Mn |
| Nov 2, 2024 | 95.62 Mn |
| Aug 3, 2024 | 78.22 Mn |
| May 4, 2024 | 71.66 Mn |
| Feb 3, 2024 | 73.60 Mn |
| Oct 28, 2023 | 72.89 Mn |
| Jul 29, 2023 | 71.26 Mn |
| Apr 29, 2023 | 68.31 Mn |
| Jan 28, 2023 | 66.90 Mn |
| Oct 29, 2022 | 67.80 Mn |
| Jul 30, 2022 | 72.46 Mn |
| Apr 30, 2022 | 73.98 Mn |
| Jan 29, 2022 | 70.63 Mn |
| Oct 30, 2021 | 56.09 Mn |
API Access
American Eagle Outfitters Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();