Abercrombie & Fitch (ANF) Long-Term Debt Repayments (2019 - 2024)
Abercrombie & Fitch (ANF) reported Long-Term Debt Repayments of $223.33 million for FY2025 (year ended Feb 1, 2025), up 186.4% from $77.97 million in FY2024.
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Analysis
Abercrombie & Fitch (ANF) Long-Term Debt Repayments (2019 - 2024) Analysis & Trends
Dating back to FY2010, Abercrombie & Fitch's Long-Term Debt Repayments record includes 8 fiscal years.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 62.0% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Long-Term Debt Repayments since FY2021.
- According to Business Quant data, Long-Term Debt Repayments came in at $77.97 million in FY2024 (+891.8%), $7.86 million in FY2023 (-83.3%), $46.97 million in FY2022 (-79.9%) and $233.25 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Abercrombie & Fitch | 7.01 Bn | 4.34 Bn | 900.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 3, 2024 | 213.91 Mn |
| May 4, 2024 | 9.43 Mn |
| Feb 3, 2024 | 27.04 Mn |
| Oct 28, 2023 | 50.93 Mn |
| Oct 29, 2022 | 7.86 Mn |
| Feb 1, 2020 | 10.00 Mn |
| Nov 2, 2019 | 10.00 Mn |
API Access
Abercrombie & Fitch Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();