V F (VFC) Capital Expenditures (2009 - 2026)
V F's Capital Expenditures was $39.12 million in fiscal Q2 2027 (quarter ended Sep 26, 2026), up 47.5% from $26.52 million a year earlier but down 1.2% from the prior quarter.
V F (VFC) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, V F's Capital Expenditures was $138.64 million through Sep 26, 2026, up 45.8% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $114.71 million, up 33.0% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of -10.4% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $86.27 million in FY2025 (-36.5%), $135.76 million in FY2024 (-10.7%), $151.99 million in FY2023 (-38.1%) and $245.45 million in FY2022 (+23.6%).
- Quarterly Capital Expenditures has moved between $18.35 million (fiscal Q3 2025) and $69.64 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for seven straight quarters, with growth averaging 27.5% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q3 2026 (growth of 77.5%); the worst was fiscal Q1 2025 (a decline of 61.5%).
- Per Business Quant data, VFC's Capital Expenditures in the three fiscal quarters before Q2 2027 was $39.58 million (Q1 2027), $27.39 million (Q4 2026) and $32.56 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 199.00 Mn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 48.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 60.80 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 21.95 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | -277.06 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 58.60 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 39.12 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 14.89 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 30.49 Mn |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | -24.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 39.12 Mn |
| Jun 27, 2026 | 39.58 Mn |
| Mar 28, 2026 | 27.39 Mn |
| Dec 27, 2025 | 32.56 Mn |
| Sep 27, 2025 | 26.52 Mn |
| Jun 28, 2025 | 28.25 Mn |
| Mar 29, 2025 | 21.98 Mn |
| Dec 28, 2024 | 18.35 Mn |
| Sep 28, 2024 | 22.19 Mn |
| Jun 29, 2024 | 23.76 Mn |
| Mar 30, 2024 | 21.22 Mn |
| Dec 30, 2023 | 20.71 Mn |
| Sep 30, 2023 | 32.07 Mn |
| Jun 30, 2023 | -61.76 Mn |
| Apr 1, 2023 | 21.78 Mn |
| Dec 31, 2022 | 40.26 Mn |
| Jun 30, 2022 | -52.66 Mn |
| Apr 2, 2022 | 31.23 Mn |
| Jun 30, 2021 | -93.22 Mn |
| Apr 3, 2021 | 46.21 Mn |
V F Capital Expenditures 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=capital-expenditures&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();