Abercrombie & Fitch (ANF) Notes Payables (2012 - 2020)
Abercrombie & Fitch's Notes Payables came in at $210 million for fiscal Q1 2021 (quarter ended May 2, 2020).
Analysis
Abercrombie & Fitch (ANF) Notes Payables (2012 - 2020) Analysis & Trends
At the end of FY2015 (ended Jan 31, 2015), Abercrombie & Fitch's Notes Payables was $2.1 million, down 86.0% from FY2014.
- Going back by fiscal year, Notes Payables was $15 million in FY2014.
- The fiscal Q1 2021 figure represents the highest quarterly Notes Payables in data going back to fiscal Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2020 | 210.00 Mn |
| Oct 29, 2016 | 2.20 Mn |
| Jul 30, 2016 | 1.47 Mn |
| Apr 30, 2016 | 733,000.00 |
| Oct 31, 2015 | 1.51 Mn |
| Aug 1, 2015 | 2.02 Mn |
| May 2, 2015 | 2.02 Mn |
| Jan 31, 2015 | 2.10 Mn |
| Nov 1, 2014 | 2.10 Mn |
| Aug 2, 2014 | 75.00 Mn |
| May 3, 2014 | 15.00 Mn |
| Feb 1, 2014 | 15.00 Mn |
| Nov 2, 2013 | 15.00 Mn |
| Aug 3, 2013 | 15.00 Mn |
| May 4, 2013 | 15.00 Mn |
| Oct 27, 2012 | 60.00 Mn |
| Jul 28, 2012 | 75.00 Mn |
API Access
Abercrombie & Fitch Notes 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=notes-payables&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "ANF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();