V F (VFC) Inventory (2009 - 2026)
V F (VFC) recorded Inventory of $1.9 billion in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 11.1% from $2.14 billion a year earlier but up 38.5% from the prior quarter.
V F (VFC) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), V F reported Inventory of $1.37 billion, down 15.7% from FY2025.
- Annual Inventory has declined for three straight fiscal years, though with a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $1.63 billion in FY2025 (-4.2%), $1.7 billion in FY2024 (-25.9%), $2.29 billion in FY2023 (+61.6%) and $1.42 billion in FY2022 (+33.6%).
- Quarterly Inventory has ranged from $1.29 billion in fiscal Q3 2022 to $2.79 billion in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 9.2% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 101.4% in fiscal Q3 2023, against a decline of 26.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.37 billion (Q4 2026), $1.66 billion (Q3 2026) and $1.86 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 389.21 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 1.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.90 Bn |
| Mar 28, 2026 | 1.37 Bn |
| Dec 27, 2025 | 1.66 Bn |
| Sep 27, 2025 | 1.86 Bn |
| Jun 28, 2025 | 2.14 Bn |
| Mar 29, 2025 | 1.63 Bn |
| Dec 28, 2024 | 1.79 Bn |
| Sep 28, 2024 | 2.08 Bn |
| Jun 29, 2024 | 2.06 Bn |
| Mar 30, 2024 | 1.70 Bn |
| Dec 30, 2023 | 2.09 Bn |
| Sep 30, 2023 | 2.41 Bn |
| Jul 1, 2023 | 2.79 Bn |
| Apr 1, 2023 | 2.29 Bn |
| Dec 31, 2022 | 2.59 Bn |
| Oct 1, 2022 | 2.75 Bn |
| Jul 2, 2022 | 2.34 Bn |
| Apr 2, 2022 | 1.42 Bn |
| Jan 1, 2022 | 1.29 Bn |
| Oct 2, 2021 | 1.46 Bn |
V F Inventory 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=inventory&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();