V F (VFC) Operating Expenses (2009 - 2026)
V F's Operating Expenses came in at $1.75 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 5.1% from $1.85 billion a year earlier and down 16.7% from the prior quarter.
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Analysis
V F (VFC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, V F reported Operating Expenses of $8.93 billion, down 2.4% year-over-year; for FY2026 (ended Mar 28, 2026), it was $9.03 billion, down 1.9% from FY2025.
- Operating Expenses has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $9.2 billion in FY2025 (-8.5%), $10.06 billion in FY2024 (-0.3%), $10.09 billion in FY2023 (-1.2%) and $10.21 billion in FY2022 (+18.3%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses since fiscal Q4 2023.
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 53.6%), and the weakest in fiscal Q4 2023 (a decline of 35.2%).
- Business Quant data shows VFC's Operating Expenses at $2.1 billion (Q4 2026), $2.59 billion (Q3 2026) and $2.49 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 415.03 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 1.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.75 Bn |
| Mar 28, 2026 | 2.10 Bn |
| Dec 27, 2025 | 2.59 Bn |
| Sep 27, 2025 | 2.49 Bn |
| Jun 28, 2025 | 1.85 Bn |
| Mar 29, 2025 | 2.22 Bn |
| Dec 28, 2024 | 2.61 Bn |
| Sep 28, 2024 | 2.48 Bn |
| Jun 29, 2024 | 1.89 Bn |
| Mar 30, 2024 | 2.62 Bn |
| Dec 30, 2023 | 2.87 Bn |
| Sep 30, 2023 | 2.57 Bn |
| Jul 1, 2023 | 2.10 Bn |
| Apr 1, 2023 | 1.71 Bn |
| Dec 31, 2022 | 3.01 Bn |
| Oct 1, 2022 | 3.17 Bn |
| Jul 2, 2022 | 2.20 Bn |
| Apr 2, 2022 | 2.63 Bn |
| Jan 1, 2022 | 2.95 Bn |
| Oct 2, 2021 | 2.64 Bn |
API Access
V F Operating Expenses 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=operating-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();