V F (VFC) Capital Expenditures (2009 - 2026)
V F's Capital Expenditures was $39.58 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 40.1% from $28.25 million a year earlier and up 44.5% 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 $126.04 million through Jun 27, 2026, up 38.9% 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%).
- The fiscal Q1 2027 figure marks the highest quarterly Capital Expenditures since fiscal Q1 2024.
- Compared with a year earlier, Capital Expenditures has increased for six straight quarters, with growth averaging 17.7% 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 Q1 2027 was $27.39 million (Q4 2026), $32.56 million (Q3 2026) and $26.52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 138.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 39.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -19.85 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -30.49 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.73 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 39.58 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 1, 2023 | 61.76 Mn |
| Apr 1, 2023 | 21.78 Mn |
| Dec 31, 2022 | 40.26 Mn |
| Oct 1, 2022 | 37.30 Mn |
| Jul 2, 2022 | 52.66 Mn |
| Apr 2, 2022 | 31.23 Mn |
| Jan 1, 2022 | 69.64 Mn |
| Oct 2, 2021 | 51.36 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();