V F (VFC) Long-Term Debt Repayments (2009 - 2026)
V F (VFC) posted Long-Term Debt Repayments of $582.15 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), down 22.4% from $750.28 million a year earlier.
Powered by 
Analysis
V F (VFC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), V F's Long-Term Debt Repayments came in at $582.81 million, down 66.7% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 222.8% (FY2021 to FY2026).
- In prior fiscal years, V F's Long-Term Debt Repayments was $1.75 billion in FY2025 (+92.8%), $908.2 million in FY2024 (+81.3%), $501.05 million in FY2023 (-0.6%) and $504.2 million in FY2022.
- Quarterly Long-Term Debt Repayments has run from a low of $97,000 in fiscal Q3 2026 to a high of $1 billion in fiscal Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last six quarters, with an average decline of 35.7%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q1 2022, with growth of 14.0%; the weakest was fiscal Q3 2026, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $97,000 (Q3 2026), $284,000 (Q2 2026) and $282,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.44 Bn | 22.64 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.67 Bn | 19.62 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.53 Bn | 14.63 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.59 Bn | 5.46 Bn | - | - |
| 5 | Lululemon Athletica | 11.18 Bn | 5.43 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.01 Bn | 4.59 Bn | 1.07 Bn | - |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.17 Bn | 4.49 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Crocs | 5.93 Bn | 5.34 Bn | 700.71 Mn | 147.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 582.15 Mn |
| Dec 27, 2025 | 97,000.00 |
| Sep 27, 2025 | 284,000.00 |
| Jun 28, 2025 | 282,000.00 |
| Mar 29, 2025 | 750.28 Mn |
| Dec 28, 2024 | 1.00 Bn |
| Sep 28, 2024 | 276,000.00 |
| Jun 29, 2024 | 275,000.00 |
| Mar 30, 2024 | 273,000.00 |
| Dec 30, 2023 | 270,000.00 |
| Sep 30, 2023 | 907.39 Mn |
| Jul 1, 2023 | 268,000.00 |
| Apr 1, 2023 | 265,000.00 |
| Dec 31, 2022 | 264,000.00 |
| Oct 1, 2022 | 261,000.00 |
| Jul 2, 2022 | 500.26 Mn |
| Apr 2, 2022 | 257,000.00 |
| Jan 1, 2022 | 503.44 Mn |
| Oct 2, 2021 | 255,000.00 |
| Jul 3, 2021 | 253,000.00 |
API Access
V F 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=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VFC", "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=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();