V F (VFC) Interest Expenses (2009 - 2026)
V F (VFC) recorded Interest Expenses of $30.42 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 30.3% from $43.64 million a year earlier and down 9.9% from the prior quarter.
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Analysis
V F (VFC) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, V F's Interest Expenses came in at $153.55 million as of Jun 27, 2026, down 11.5% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $166.77 million, down 4.2% from FY2025.
- Annual Interest Expenses has a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $174.14 million in FY2025 (-6.3%), $185.93 million in FY2024 (+21.9%), $152.52 million in FY2023 (+11.8%) and $136.47 million in FY2022 (+0.6%).
- The fiscal Q1 2027 figure is the lowest quarterly Interest Expenses since fiscal Q1 2021.
- On a year-over-year basis, Interest Expenses has declined for three consecutive quarters, with an average decline of 10.0% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 69.7% in fiscal Q1 2024, against a decline of 30.3% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.77 million (Q4 2026), $39.75 million (Q3 2026) and $49.62 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 19.91 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 30.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 30.42 Mn |
| Mar 28, 2026 | 33.77 Mn |
| Dec 27, 2025 | 39.75 Mn |
| Sep 27, 2025 | 49.62 Mn |
| Jun 28, 2025 | 43.64 Mn |
| Mar 29, 2025 | 40.09 Mn |
| Dec 28, 2024 | 43.34 Mn |
| Sep 28, 2024 | 46.37 Mn |
| Jun 29, 2024 | 44.34 Mn |
| Mar 30, 2024 | 46.91 Mn |
| Dec 30, 2023 | 52.66 Mn |
| Sep 30, 2023 | 45.66 Mn |
| Jul 1, 2023 | 55.21 Mn |
| Apr 1, 2023 | 31.11 Mn |
| Dec 31, 2022 | 54.14 Mn |
| Oct 1, 2022 | 34.73 Mn |
| Jul 2, 2022 | 32.55 Mn |
| Apr 2, 2022 | 31.67 Mn |
| Jan 1, 2022 | 33.99 Mn |
| Oct 2, 2021 | 35.89 Mn |
API Access
V F Interest Expenses 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=interest-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();