American Eagle Outfitters (AEO) Receivables - Net (2009 - 2026)
American Eagle Outfitters (AEO) recorded Receivables - Net of $245.23 million in 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.
American Eagle Outfitters (AEO) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters reported Receivables - Net of $258.62 million, down 1.4% from FY2025.
- Annual Receivables - Net has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables - Net came in at $262.37 million in FY2025 (+5.8%), $247.93 million in FY2024 (+2.3%), $242.39 million in FY2023 (-15.5%) and $286.68 million in FY2022 (+96.2%).
- Quarterly Receivables - Net has ranged from $200.78 million in fiscal Q1 2027 to $286.68 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Receivables - Net rose in four of the last eight quarters, with growth averaging 0.1%.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 96.2% in fiscal Q4 2022, against a decline of 15.5% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $200.78 million (Q1 2027), $258.62 million (Q4 2026) and $245.34 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 | 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 | 242.39 Mn |
| Oct 29, 2022 | 250.88 Mn |
| Jul 30, 2022 | 220.80 Mn |
| Apr 30, 2022 | 230.47 Mn |
| Jan 29, 2022 | 286.68 Mn |
| Oct 30, 2021 | 228.46 Mn |
American Eagle Outfitters Receivables - Net 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-net&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();