V F (VFC) Total Liabilities (2009 - 2026)
V F (VFC) reported Total Liabilities of $7.7 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 13.1% from $8.86 billion a year earlier but up 3.5% from the prior quarter.
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Analysis
V F (VFC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), V F posted Total Liabilities of $7.44 billion, down 5.7% from FY2025.
- Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -7.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $7.89 billion in FY2025 (-20.7%), $9.95 billion in FY2024 (-10.2%), $11.08 billion in FY2023 (+12.9%) and $9.81 billion in FY2022 (-8.3%).
- Five-year quarterly Total Liabilities spans a low of $7.44 billion in fiscal Q4 2026 and a high of $11.33 billion in fiscal Q1 2024.
- Year over year, Total Liabilities has now declined in each of the last 11 quarters, with an average decline of 10.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2024 (growth of 14.9%); the low point was fiscal Q4 2025 (a decline of 20.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $7.44 billion (Q4 2026), $8.65 billion (Q3 2026) and $9.17 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.97 Bn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 7.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.70 Bn |
| Mar 28, 2026 | 7.44 Bn |
| Dec 27, 2025 | 8.65 Bn |
| Sep 27, 2025 | 9.17 Bn |
| Jun 28, 2025 | 8.86 Bn |
| Mar 29, 2025 | 7.89 Bn |
| Dec 28, 2024 | 8.87 Bn |
| Sep 28, 2024 | 10.81 Bn |
| Jun 29, 2024 | 10.15 Bn |
| Mar 30, 2024 | 9.95 Bn |
| Dec 30, 2023 | 10.51 Bn |
| Sep 30, 2023 | 10.93 Bn |
| Jul 1, 2023 | 11.33 Bn |
| Apr 1, 2023 | 11.08 Bn |
| Dec 31, 2022 | 10.99 Bn |
| Oct 1, 2022 | 10.70 Bn |
| Jul 2, 2022 | 9.86 Bn |
| Apr 2, 2022 | 9.81 Bn |
| Jan 1, 2022 | 9.88 Bn |
| Oct 2, 2021 | 10.29 Bn |
API Access
V F Total Liabilities 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=total-liabilities&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();