Abercrombie & Fitch (ANF) Non-Current Debt (2010 - 2024)
Abercrombie & Fitch (ANF) reported Non-Current Debt of $213.1 million for fiscal Q1 2025 (quarter ended May 4, 2024), down 28.3% from $297.17 million a year earlier and down 4.1% from the prior quarter.
Abercrombie & Fitch (ANF) Non-Current Debt (2010 - 2024) Analysis & Trends
At the end of FY2024 (ended Feb 3, 2024), Abercrombie & Fitch posted Non-Current Debt of $222.12 million, down 25.2% from FY2023.
- Non-Current Debt has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.4% (FY2019 to FY2024).
- By fiscal year, Non-Current Debt came in at $296.85 million in FY2023 (-2.2%), $303.57 million in FY2022 (-11.7%), $343.91 million in FY2021 (+48.3%) and $231.96 million in FY2020 (-7.4%).
- The fiscal Q1 2025 figure ranks as the lowest quarterly Non-Current Debt since fiscal Q2 2015.
- Year over year, Non-Current Debt has now declined in each of the last seven quarters, with an average decline of 9.8% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q1 2022 (growth of 48.3%); the low point was fiscal Q1 2025 (a decline of 28.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2025 came in at $222.12 million (Q4 2024), $248.03 million (Q3 2024) and $297.39 million (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,831.97 Bn | 2,348.66 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 313.29 Bn | 306.53 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 162.13 Bn | 139.67 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 110.91 Bn | 103.87 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 75.20 Bn | 58.12 Bn | 2.12 Bn | 777.05 Mn |
| 6 | O Reilly Automotive | 74.14 Bn | 73.23 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 70.35 Bn | 64.93 Bn | 8.94 Bn | 14.22 Bn |
| 8 | Autozone | 51.85 Bn | 50.75 Bn | 2.52 Bn | 9.02 Bn |
| 9 | Carvana | 43.20 Bn | 33.69 Bn | 1.38 Bn | 4.85 Bn |
| 10 | Abercrombie & Fitch | 7.02 Bn | 4.35 Bn | 900.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 4, 2024 | 213.10 Mn |
| Feb 3, 2024 | 222.12 Mn |
| Oct 28, 2023 | 248.03 Mn |
| Jul 29, 2023 | 297.39 Mn |
| Apr 29, 2023 | 297.17 Mn |
| Jan 28, 2023 | 296.85 Mn |
| Oct 29, 2022 | 296.53 Mn |
| Jul 30, 2022 | 304.22 Mn |
| Apr 30, 2022 | 303.90 Mn |
| Jan 29, 2022 | 303.57 Mn |
| Oct 30, 2021 | 303.25 Mn |
| Jul 31, 2021 | 303.02 Mn |
| May 1, 2021 | 344.28 Mn |
| Jan 30, 2021 | 343.91 Mn |
| Oct 31, 2020 | 343.56 Mn |
| Aug 1, 2020 | 343.25 Mn |
| May 2, 2020 | 232.18 Mn |
| Feb 1, 2020 | 231.96 Mn |
| Nov 2, 2019 | 241.34 Mn |
| Aug 3, 2019 | 251.03 Mn |
Abercrombie & Fitch Non-Current Debt 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=non-current-debt&ticker=ANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();