V F (VFC) Gross Margin (2009 - 2026)
V F (VFC) posted Gross Margin of 55.38% for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 3.20 percentage points from 52.18% a year earlier and up 0.45 percentage points from the prior quarter.
V F (VFC) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Gross Margin at V F was 55.92%, up 1.95 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it was 54.78%, up 1.29 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of +2.09 percentage points (FY2021 to FY2026).
- In prior fiscal years, V F's Gross Margin was 53.49% in FY2025 (+1.93 pp), 51.56% in FY2024 (-0.71 pp), 52.27% in FY2023 (-2.24 pp) and 54.51% in FY2022 (+1.82 pp).
- Quarterly Gross Margin has run from a low of 47.72% in fiscal Q4 2023 to a high of 56.62% in fiscal Q3 2026 over five years.
- On a year-over-year basis, Gross Margin has increased in each of the last four quarters, with an average year-over-year change of +2.18 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q4 2025, with a gain of 5.46 percentage points; the weakest was fiscal Q4 2023, with a drop of 4.17 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 54.93% (Q1 2027), 56.41% (Q4 2026) and 56.62% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 74.22% |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 60.52% |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 60.46% |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 55.38% |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 66.16% |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 59.05% |
| 10 | Gildan Activewear | 5.48 Bn | 4.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 55.38% |
| Jun 27, 2026 | 54.93% |
| Mar 28, 2026 | 56.41% |
| Dec 27, 2025 | 56.62% |
| Sep 27, 2025 | 52.18% |
| Jun 28, 2025 | 53.90% |
| Mar 29, 2025 | 53.29% |
| Dec 28, 2024 | 56.29% |
| Sep 28, 2024 | 52.23% |
| Jun 29, 2024 | 51.20% |
| Mar 30, 2024 | 47.83% |
| Dec 30, 2023 | 54.64% |
| Sep 30, 2023 | 51.02% |
| Jul 1, 2023 | 52.78% |
| Apr 1, 2023 | 47.72% |
| Dec 31, 2022 | 54.88% |
| Oct 1, 2022 | 51.37% |
| Jul 2, 2022 | 53.88% |
| Apr 2, 2022 | 51.90% |
| Jan 1, 2022 | 56.06% |
V F Gross Margin 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=gross-margin&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();