V F (VFC) Accumulated Expenses (2009 - 2026)
V F's Accumulated Expenses was $839.25 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 14.5% from $981.93 million a year earlier and down 17.0% from the prior quarter.
V F (VFC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Accumulated Expenses at V F came in at $1.01 billion, down 3.4% from FY2025.
- 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%).
- The fiscal Q1 2027 figure marks the lowest quarterly Accumulated Expenses since fiscal Q2 2016.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 5.9%.
- 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 Q1 2027 was $1.01 billion (Q4 2026), $1.6 billion (Q3 2026) and $1.54 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 839.25 Mn |
| Mar 28, 2026 | 1.01 Bn |
| Dec 27, 2025 | 1.60 Bn |
| Sep 27, 2025 | 1.54 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 |
| Oct 2, 2021 | 1.84 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();