V F (VFC) Notes Payables (2009 - 2026)
V F's Short-Term Borrowings was $34.22 million in fiscal Q2 2027 (quarter ended Sep 26, 2026), down 93.2% from $502.15 million a year earlier but up 253.3% from the prior quarter.
V F (VFC) Notes Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Short-Term Borrowings at V F came in at $10.14 million, down 14.9% from FY2025.
- Short-Term Borrowings shows a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- In earlier fiscal years, Short-Term Borrowings was $11.92 million in FY2025 (-95.5%), $263.94 million in FY2024, $11.49 million in FY2023 (-96.6%) and $335.46 million in FY2022.
- Quarterly Short-Term Borrowings has moved between $9.69 million (fiscal Q1 2027) and $1.69 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Short-Term Borrowings has declined for four straight quarters, with an average decline of 44.8% over the last eight quarters.
- The best year-over-year quarter for Short-Term Borrowings over five years was fiscal Q3 2023 (growth of 750.5%); the worst was fiscal Q1 2027 (a decline of 97.5%).
- Per Business Quant data, VFC's Short-Term Borrowings in the three fiscal quarters before Q2 2027 was $9.69 million (Q1 2027), $10.14 million (Q4 2026) and $10.52 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 34.22 Mn |
| Jun 27, 2026 | 9.69 Mn |
| Mar 28, 2026 | 10.14 Mn |
| Dec 27, 2025 | 10.52 Mn |
| Sep 27, 2025 | 502.15 Mn |
| Jun 28, 2025 | 392.92 Mn |
| Mar 29, 2025 | 11.92 Mn |
| Dec 28, 2024 | 12.81 Mn |
| Sep 28, 2024 | 463.20 Mn |
| Jun 29, 2024 | 263.71 Mn |
| Mar 30, 2024 | 263.94 Mn |
| Dec 30, 2023 | 452.29 Mn |
| Sep 30, 2023 | 1.02 Bn |
| Jul 1, 2023 | 58.52 Mn |
| Apr 1, 2023 | 11.49 Mn |
| Dec 31, 2022 | 901.67 Mn |
| Oct 1, 2022 | 1.69 Bn |
| Jul 2, 2022 | 827.38 Mn |
| Apr 2, 2022 | 335.46 Mn |
| Jan 1, 2022 | 106.01 Mn |
V F 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=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();