V F (VFC) EBITDA (2009 - 2026)
V F's EBITDA came in at $426.28 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 11.5% from $382.42 million a year earlier.
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Analysis
V F (VFC) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, V F reported EBITDA of $897.91 million, up 38.9% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $857.1 million, up 52.1% from FY2025.
- EBITDA carries a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $563.39 million in FY2025 (+244.4%), $163.59 million in FY2024 (-86.9%), $1.25 billion in FY2023 (-34.1%) and $1.9 billion in FY2022 (+116.6%).
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA since fiscal Q4 2023.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2023 (growth of 119.5%), and the weakest in fiscal Q1 2024 (a decline of 55.4%).
- Business Quant data shows VFC's EBITDA at -$25.29 million (Q1 2027), $128.99 million (Q4 2026) and $367.94 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | 410.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 426.28 Mn |
| Jun 27, 2026 | -25.29 Mn |
| Mar 28, 2026 | 128.99 Mn |
| Dec 27, 2025 | 367.94 Mn |
| Sep 27, 2025 | 382.42 Mn |
| Jun 28, 2025 | -22.25 Mn |
| Mar 29, 2025 | 261,000.00 |
| Dec 28, 2024 | 285.85 Mn |
| Sep 28, 2024 | 335.67 Mn |
| Jun 29, 2024 | -58.40 Mn |
| Mar 30, 2024 | -288.60 Mn |
| Dec 30, 2023 | -5.43 Mn |
| Sep 30, 2023 | 420.40 Mn |
| Jul 1, 2023 | 58.08 Mn |
| Apr 1, 2023 | 569.91 Mn |
| Dec 31, 2022 | 577.58 Mn |
| Oct 1, 2022 | -26.95 Mn |
| Jul 2, 2022 | 130.12 Mn |
| Apr 2, 2022 | 259.68 Mn |
| Jan 1, 2022 | 743.54 Mn |
API Access
V F EBITDA 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&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();