V F (VFC) Accumulated Expenses (2009 - 2026)
V F's Accumulated Expenses was $1.01 billion in fiscal Q2 2027 (quarter ended Sep 26, 2026), down 17.9% from $1.23 billion a year earlier but up 20.7% from the prior quarter.
V F (VFC) Accumulated Expenses (2009 - 2026) Analysis & Trends
From fiscal Q4 2009 onward, V F has reported Accumulated Expenses for 49 quarters.
- Accumulated Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -8.9% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $1.05 billion in FY2025 (-20.9%), $1.32 billion in FY2024 (-20.9%), $1.67 billion in FY2023 (-12.6%) and $1.92 billion in FY2022 (+19.0%).
- Quarterly Accumulated Expenses has moved between $839.25 million (fiscal Q1 2027) and $2.06 billion (fiscal Q3 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with an average decline of 10.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2022 (growth of 23.6%); the worst was fiscal Q1 2025 (a decline of 22.6%).
- Per Business Quant data, VFC's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $839.25 million (Q1 2027), $1.01 billion (Q4 2026) and $1.6 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.01 Bn |
| Jun 27, 2026 | 839.25 Mn |
| Mar 28, 2026 | 1.01 Bn |
| Dec 27, 2025 | 1.60 Bn |
| Sep 27, 2025 | 1.23 Bn |
| Jun 28, 2025 | 981.93 Mn |
| Mar 29, 2025 | 1.05 Bn |
| Dec 28, 2024 | 1.46 Bn |
| Sep 28, 2024 | 1.49 Bn |
| Jun 29, 2024 | 1.20 Bn |
| Mar 30, 2024 | 1.32 Bn |
| Dec 30, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.49 Bn |
| Jul 1, 2023 | 1.55 Bn |
| Apr 1, 2023 | 1.67 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Oct 1, 2022 | 1.80 Bn |
| Jul 2, 2022 | 1.61 Bn |
| Apr 2, 2022 | 1.92 Bn |
| Jan 1, 2022 | 2.06 Bn |
V F Accumulated 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=accumulated-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();