American Eagle Outfitters (AEO) Accounts Payables (2009 - 2026)
American Eagle Outfitters (AEO) reported Accounts Payables of $253.66 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.5% from $247.58 million a year earlier and up 24.5% from the prior quarter.
American Eagle Outfitters (AEO) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters posted Accounts Payables of $251.76 million, down 10.3% from FY2025.
- Accounts Payables has a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- By fiscal year, Accounts Payables came in at $280.71 million in FY2025 (+4.6%), $268.31 million in FY2024 (+14.5%), $234.34 million in FY2023 (+1.1%) and $231.78 million in FY2022 (-9.4%).
- Five-year quarterly Accounts Payables spans a low of $188.45 million in fiscal Q3 2023 and a high of $314.56 million in fiscal Q3 2022.
- Year over year, Accounts Payables gained in four of the last eight quarters, with an average decline of 1.7%.
- The high point for year-over-year Accounts Payables in five years was fiscal Q3 2024 (growth of 59.2%); the low point was fiscal Q3 2023 (a decline of 40.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $203.81 million (Q1 2027), $251.76 million (Q4 2026) and $305.27 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 8.40 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 253.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 253.66 Mn |
| May 2, 2026 | 203.81 Mn |
| Jan 31, 2026 | 251.76 Mn |
| Nov 1, 2025 | 305.27 Mn |
| Aug 2, 2025 | 247.58 Mn |
| May 3, 2025 | 247.99 Mn |
| Feb 1, 2025 | 280.71 Mn |
| Nov 2, 2024 | 283.47 Mn |
| Aug 3, 2024 | 259.73 Mn |
| May 4, 2024 | 225.48 Mn |
| Feb 3, 2024 | 268.31 Mn |
| Oct 28, 2023 | 300.03 Mn |
| Jul 29, 2023 | 238.66 Mn |
| Apr 29, 2023 | 212.32 Mn |
| Jan 28, 2023 | 234.34 Mn |
| Oct 29, 2022 | 188.45 Mn |
| Jul 30, 2022 | 198.65 Mn |
| Apr 30, 2022 | 236.38 Mn |
| Jan 29, 2022 | 231.78 Mn |
| Oct 30, 2021 | 314.56 Mn |
American Eagle Outfitters Accounts Payables 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=accounts-payables&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();