V F (VFC) EBIT (2009 - 2026)
V F's EBIT was -$83.07 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with -$86.61 million a year earlier.
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Analysis
V F (VFC) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, V F's EBIT was $580.11 million through Jun 27, 2026, up 70.5% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $576.57 million, up 89.8% from FY2025.
- EBIT shows a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- In earlier fiscal years, EBIT was $303.77 million in FY2025, -$143.94 million in FY2024, $998.74 million in FY2023 (-38.8%) and $1.63 billion in FY2022 (+168.6%).
- Quarterly EBIT has moved between -$373.38 million (fiscal Q4 2024) and $678.44 million (fiscal Q3 2022) over five years.
- The best year-over-year quarter for EBIT over five years was fiscal Q4 2023 (growth of 165.2%); the worst was fiscal Q1 2023 (a decline of 68.8%).
- Per Business Quant data, VFC's EBIT in the three fiscal quarters before Q1 2027 was $61.5 million (Q4 2026), $289.05 million (Q3 2026) and $312.62 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 285.68 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | -83.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -83.07 Mn |
| Mar 28, 2026 | 61.50 Mn |
| Dec 27, 2025 | 289.05 Mn |
| Sep 27, 2025 | 312.62 Mn |
| Jun 28, 2025 | -86.61 Mn |
| Mar 29, 2025 | -72.89 Mn |
| Dec 28, 2024 | 225.78 Mn |
| Sep 28, 2024 | 273.90 Mn |
| Jun 29, 2024 | -123.02 Mn |
| Mar 30, 2024 | -373.38 Mn |
| Dec 30, 2023 | -91.24 Mn |
| Sep 30, 2023 | 350.54 Mn |
| Jul 1, 2023 | -8.99 Mn |
| Apr 1, 2023 | 510.16 Mn |
| Dec 31, 2022 | 516.03 Mn |
| Oct 1, 2022 | -90.82 Mn |
| Jul 2, 2022 | 63.36 Mn |
| Apr 2, 2022 | 192.39 Mn |
| Jan 1, 2022 | 678.44 Mn |
| Oct 2, 2021 | 558.49 Mn |
API Access
V F EBIT 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=ebit&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();