American Eagle Outfitters (AEO) Receivables - Other (2011 - 2023)
American Eagle Outfitters (AEO) reported Receivables - Other of $9.97 million for fiscal Q4 2023 (quarter ended Jan 28, 2023), up 1.7% from $9.81 million a year earlier.
American Eagle Outfitters (AEO) Receivables - Other (2011 - 2023) Analysis & Trends
Dating back to fiscal Q4 2011, American Eagle Outfitters' Receivables - Other record includes 13 quarters.
- Receivables - Other has a five-year compound annual growth rate of 17.7% (FY2018 to FY2023).
- By fiscal year, Receivables - Other came in at $9.81 million in FY2022 (+46.5%), $6.7 million in FY2021 (-10.9%), $7.51 million in FY2020 (-5.3%) and $7.93 million in FY2019 (+79.8%).
- The fiscal Q4 2023 figure ranks as the highest quarterly Receivables - Other in data going back to fiscal Q4 2011.
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 |
|---|---|
| Jan 28, 2023 | 9.97 Mn |
| Jan 29, 2022 | 9.81 Mn |
| Jan 30, 2021 | 6.70 Mn |
| Feb 1, 2020 | 7.51 Mn |
| Feb 2, 2019 | 7.93 Mn |
| Feb 3, 2018 | 4.41 Mn |
| Jan 28, 2017 | 4.98 Mn |
| Jan 30, 2016 | 7.07 Mn |
| Jan 31, 2015 | 7.91 Mn |
| Feb 1, 2014 | 1.16 Mn |
| Feb 2, 2013 | 5.70 Mn |
| Jan 28, 2012 | 9.95 Mn |
| Jan 29, 2011 | 4.37 Mn |
American Eagle Outfitters Receivables - Other 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-other&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();