American Eagle Outfitters (AEO) Debt Ratio (2009 - 2026)
American Eagle Outfitters' (AEO) Debt Ratio was 0.01 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 74.3% from 0.05 a year earlier and down 38.3% from the prior quarter.
American Eagle Outfitters (AEO) Debt Ratio (2009 - 2026) Analysis & Trends
For FY2023 (ended Jan 28, 2023), Debt Ratio at American Eagle Outfitters was 0.00, down 97.1% from FY2022.
- By fiscal year, Debt Ratio came in at 0.09 in FY2022 (-4.9%) and 0.09 in FY2021.
- The fiscal Q2 2027 figure ranks as the lowest quarterly Debt Ratio since fiscal Q2 2024.
- The high point for year-over-year Debt Ratio in five years was fiscal Q3 2023 (growth of 25.1%); the low point was fiscal Q2 2024 (a decline of 99.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 0.12 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 0.48 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 0.08 |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 0.67 |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 0.06 |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 0.25 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 0.40 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 0.36 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 0.43 |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 0.01 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.01 |
| May 2, 2026 | 0.02 |
| Nov 1, 2025 | 0.05 |
| Aug 2, 2025 | 0.05 |
| May 3, 2025 | 0.03 |
| Jul 29, 2023 | 0.00 |
| Apr 29, 2023 | 0.01 |
| Jan 28, 2023 | 0.00 |
| Oct 29, 2022 | 0.11 |
| Jul 30, 2022 | 0.10 |
| Apr 30, 2022 | 0.11 |
| Jan 29, 2022 | 0.09 |
| Oct 30, 2021 | 0.09 |
| Jul 31, 2021 | 0.09 |
| Jan 30, 2021 | 0.09 |
| Oct 31, 2020 | 0.09 |
| Aug 1, 2020 | 0.14 |
| May 2, 2020 | 0.18 |
| May 1, 2010 | 0.01 |
| Jan 30, 2010 | 0.01 |
American Eagle Outfitters Debt Ratio 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=debt-ratio&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();