American Eagle Outfitters (AEO) Total Liabilities (2009 - 2026)
American Eagle Outfitters (AEO) recorded Total Liabilities of $2.52 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.1% from $2.52 billion a year earlier but up 3.2% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters reported Total Liabilities of $2.32 billion, up 12.2% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $2.06 billion in FY2025 (+13.3%), $1.82 billion in FY2024 (unchanged), $1.82 billion in FY2023 (-22.9%) and $2.36 billion in FY2022 (+0.6%).
- Quarterly Total Liabilities has ranged from $1.75 billion in fiscal Q1 2024 to $2.56 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 17.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 36.3% in fiscal Q2 2026, against a decline of 24.3% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.44 billion (Q1 2027), $2.32 billion (Q4 2026) and $2.56 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 2.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.52 Bn |
| May 2, 2026 | 2.44 Bn |
| Jan 31, 2026 | 2.32 Bn |
| Nov 1, 2025 | 2.56 Bn |
| Aug 2, 2025 | 2.52 Bn |
| May 3, 2025 | 2.29 Bn |
| Feb 1, 2025 | 2.06 Bn |
| Nov 2, 2024 | 1.99 Bn |
| Aug 3, 2024 | 1.85 Bn |
| May 4, 2024 | 1.80 Bn |
| Feb 3, 2024 | 1.82 Bn |
| Oct 28, 2023 | 1.78 Bn |
| Jul 29, 2023 | 1.76 Bn |
| Apr 29, 2023 | 1.75 Bn |
| Jan 28, 2023 | 1.82 Bn |
| Oct 29, 2022 | 2.21 Bn |
| Jul 30, 2022 | 2.26 Bn |
| Apr 30, 2022 | 2.32 Bn |
| Jan 29, 2022 | 2.36 Bn |
| Oct 30, 2021 | 2.35 Bn |
API Access
American Eagle Outfitters Total Liabilities 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=total-liabilities&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();