American Eagle Outfitters (AEO) Receivables (2009 - 2026)
American Eagle Outfitters (AEO) posted Receivables of $245.23 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.3% from $237.36 million a year earlier and up 22.1% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters' Receivables came in at $258.62 million, down 1.4% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- In prior fiscal years, American Eagle Outfitters' Receivables was $262.37 million in FY2025 (+5.8%), $247.93 million in FY2024 (-1.8%), $252.36 million in FY2023 (-14.9%) and $296.49 million in FY2022 (+94.0%).
- Quarterly Receivables has run from a low of $200.78 million in fiscal Q1 2027 to a high of $296.49 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2022, with growth of 94.0%; the weakest was fiscal Q4 2023, with a decline of 14.9%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $200.78 million (Q1 2027), $258.62 million (Q4 2026) and $245.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 764.92 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 245.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 245.23 Mn |
| May 2, 2026 | 200.78 Mn |
| Jan 31, 2026 | 258.62 Mn |
| Nov 1, 2025 | 245.34 Mn |
| Aug 2, 2025 | 237.36 Mn |
| May 3, 2025 | 228.56 Mn |
| Feb 1, 2025 | 262.37 Mn |
| Nov 2, 2024 | 214.11 Mn |
| Aug 3, 2024 | 231.75 Mn |
| May 4, 2024 | 230.93 Mn |
| Feb 3, 2024 | 247.93 Mn |
| Oct 28, 2023 | 239.37 Mn |
| Jul 29, 2023 | 271.33 Mn |
| Apr 29, 2023 | 259.07 Mn |
| Jan 28, 2023 | 252.36 Mn |
| Oct 29, 2022 | 250.88 Mn |
| Jul 30, 2022 | 220.80 Mn |
| Apr 30, 2022 | 230.47 Mn |
| Jan 29, 2022 | 296.49 Mn |
| Oct 30, 2021 | 228.46 Mn |
API Access
American Eagle Outfitters Receivables 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=receivables&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();