American Eagle Outfitters (AEO) Cash & Equivalents (2009 - 2026)
American Eagle Outfitters' Cash & Equivalents was $147.95 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.7% from $126.78 million a year earlier and up 43.2% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at American Eagle Outfitters came in at $238.92 million, down 22.7% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -22.4% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $308.96 million in FY2025 (-12.7%), $354.09 million in FY2024 (+108.0%), $170.21 million in FY2023 (-60.9%) and $434.77 million in FY2022 (-48.9%).
- Quarterly Cash & Equivalents has moved between $82.13 million (fiscal Q3 2023) and $740.67 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 21.1%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2024 (growth of 193.4%); the worst was fiscal Q3 2023 (a decline of 88.9%).
- Per Business Quant data, AEO's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $103.29 million (Q1 2027), $238.92 million (Q4 2026) and $112.83 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 253.73 Mn |
| 10 | American Eagle Outfitters | 3.01 Bn | 2.41 Bn | 672.06 Mn | 147.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 147.95 Mn |
| May 2, 2026 | 103.29 Mn |
| Jan 31, 2026 | 238.92 Mn |
| Nov 1, 2025 | 112.83 Mn |
| Aug 2, 2025 | 126.78 Mn |
| May 3, 2025 | 87.85 Mn |
| Feb 1, 2025 | 308.96 Mn |
| Nov 2, 2024 | 160.20 Mn |
| Aug 3, 2024 | 191.84 Mn |
| May 4, 2024 | 300.52 Mn |
| Feb 3, 2024 | 354.09 Mn |
| Oct 28, 2023 | 240.94 Mn |
| Jul 29, 2023 | 175.32 Mn |
| Apr 29, 2023 | 117.84 Mn |
| Jan 28, 2023 | 170.21 Mn |
| Oct 29, 2022 | 82.13 Mn |
| Jul 30, 2022 | 98.21 Mn |
| Apr 30, 2022 | 228.78 Mn |
| Jan 29, 2022 | 434.77 Mn |
| Oct 30, 2021 | 740.67 Mn |
API Access
American Eagle Outfitters Cash & Equivalents 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=cash-and-equivalents&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();