V F (VFC) EBITDA Margin (2009 - 2026)
V F (VFC) posted EBITDA Margin of -1.51% for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 0.25 percentage points from -1.26% a year earlier and down 7.47 percentage points from the prior quarter.
V F (VFC) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA Margin at V F was 8.98%, up 2.66 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 8.92%, up 3.00 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of -0.57 percentage points (FY2021 to FY2026).
- In prior fiscal years, V F's EBITDA Margin was 5.93% in FY2025 (+4.28 pp), 1.65% in FY2024 (-9.63 pp), 11.28% in FY2023 (-4.76 pp) and 16.04% in FY2022 (+6.55 pp).
- The fiscal Q1 2027 figure stands as the lowest quarterly EBITDA Margin since fiscal Q1 2025.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +4.10 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2023, with a gain of 16.52 percentage points; the weakest was fiscal Q4 2024, with a drop of 38.55 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 5.95% (Q4 2026), 12.79% (Q3 2026) and 13.64% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 13.71% |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 11.49% |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 15.43% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 29.25% |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 25.92% |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | -1.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -1.51% |
| Mar 28, 2026 | 5.95% |
| Dec 27, 2025 | 12.79% |
| Sep 27, 2025 | 13.64% |
| Jun 28, 2025 | -1.26% |
| Mar 29, 2025 | 0.01% |
| Dec 28, 2024 | 10.09% |
| Sep 28, 2024 | 12.17% |
| Jun 29, 2024 | -3.30% |
| Mar 30, 2024 | -12.84% |
| Dec 30, 2023 | -0.20% |
| Sep 30, 2023 | 14.40% |
| Jul 1, 2023 | 2.78% |
| Apr 1, 2023 | 25.71% |
| Dec 31, 2022 | 16.36% |
| Oct 1, 2022 | -0.87% |
| Jul 2, 2022 | 5.75% |
| Apr 2, 2022 | 9.19% |
| Jan 1, 2022 | 20.51% |
| Oct 2, 2021 | 19.54% |
V F EBITDA 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=ebitda-margin&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();