American Eagle Outfitters (AEO) Change in Receivables (2009 - 2026)
American Eagle Outfitters' Change in Receivables came in at $44.05 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 407.5% from $8.68 million a year earlier.
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Analysis
American Eagle Outfitters (AEO) Change in Receivables (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, American Eagle Outfitters reported Change in Receivables of $26.65 million, up 420.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $9.89 million, down 36.7% from FY2025.
- Change in Receivables carries a four-year compound annual growth rate of -46.2% (FY2022 to FY2026).
- Going back by fiscal year, Change in Receivables was $15.63 million in FY2025 (+168.5%), $5.82 million in FY2024, -$43.85 million in FY2023 and $117.84 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Change in Receivables in data going back to fiscal Q3 2010.
- Year-over-year, Change in Receivables increased in three of the last four quarters, with growth averaging 258.4%.
- Business Quant data shows AEO's Change in Receivables at -$52.43 million (Q1 2027), $27.07 million (Q4 2026) and $7.97 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 8.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 204.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 94.00 Mn |
| 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 | 29.54 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 41.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 66.27 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 44.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 44.05 Mn |
| May 2, 2026 | -52.43 Mn |
| Jan 31, 2026 | 27.07 Mn |
| Nov 1, 2025 | 7.97 Mn |
| Aug 2, 2025 | 8.68 Mn |
| May 3, 2025 | -33.83 Mn |
| Feb 1, 2025 | 43.66 Mn |
| Nov 2, 2024 | -13.39 Mn |
| Aug 3, 2024 | 2.09 Mn |
| May 4, 2024 | -16.73 Mn |
| Feb 3, 2024 | 9.73 Mn |
| Oct 28, 2023 | -33.05 Mn |
| Jul 29, 2023 | 12.81 Mn |
| Apr 29, 2023 | 16.33 Mn |
| Jan 28, 2023 | -7.19 Mn |
| Oct 29, 2022 | 29.27 Mn |
| Feb 2, 2019 | 8.39 Mn |
| Nov 3, 2018 | 9.89 Mn |
| Aug 4, 2018 | 1.26 Mn |
| May 5, 2018 | -5.45 Mn |
API Access
American Eagle Outfitters Change in 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=change-in-receivables&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();