American Eagle Outfitters (AEO) Other Non-Current Liabilities (2009 - 2026)
American Eagle Outfitters (AEO) recorded Other Non-Current Liabilities of $65.48 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 15.0% from $56.92 million a year earlier but down 8.5% from the prior quarter.
American Eagle Outfitters (AEO) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters reported Other Non-Current Liabilities of $70.37 million, up 46.7% from FY2025.
- Annual Other Non-Current Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 35.1% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $47.96 million in FY2025 (+66.2%), $28.86 million in FY2024 (+26.9%), $22.73 million in FY2023 (-7.6%) and $24.62 million in FY2022 (+57.5%).
- Quarterly Other Non-Current Liabilities has ranged from $21.17 million in fiscal Q1 2024 to $71.6 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 52.3% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 100.0% in fiscal Q1 2026, against a decline of 12.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $71.6 million (Q1 2027), $70.37 million (Q4 2026) and $57.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 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 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 65.48 Mn |
| May 2, 2026 | 71.60 Mn |
| Jan 31, 2026 | 70.37 Mn |
| Nov 1, 2025 | 57.81 Mn |
| Aug 2, 2025 | 56.92 Mn |
| May 3, 2025 | 57.99 Mn |
| Feb 1, 2025 | 47.96 Mn |
| Nov 2, 2024 | 40.32 Mn |
| Aug 3, 2024 | 36.11 Mn |
| May 4, 2024 | 29.00 Mn |
| Feb 3, 2024 | 28.86 Mn |
| Oct 28, 2023 | 24.25 Mn |
| Jul 29, 2023 | 22.35 Mn |
| Apr 29, 2023 | 21.17 Mn |
| Jan 28, 2023 | 22.73 Mn |
| Oct 29, 2022 | 22.89 Mn |
| Jul 30, 2022 | 24.06 Mn |
| Apr 30, 2022 | 24.28 Mn |
| Jan 29, 2022 | 24.62 Mn |
| Oct 30, 2021 | 23.82 Mn |
American Eagle Outfitters Other Non-Current 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=other-non-current-liabilities&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();