V F (VFC) Property, Plant & Equipment (Net) (2009 - 2026)
V F (VFC) recorded Property, Plant & Equipment (Net) of $674.54 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 6.4% from $720.79 million a year earlier and unchanged from the prior quarter.
V F (VFC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), V F reported Property, Plant & Equipment (Net) of $674.51 million, down 6.4% from FY2025.
- Annual Property, Plant & Equipment (Net) has declined for four straight fiscal years, with a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $720.88 million in FY2025 (-8.6%), $788.99 million in FY2024 (-13.4%), $910.94 million in FY2023 (-12.6%) and $1.04 billion in FY2022 (+6.8%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $674.51 million in fiscal Q4 2026 to $1.05 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 17 consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 9.8% in fiscal Q3 2022, against a decline of 19.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $674.51 million (Q4 2026), $687.5 million (Q3 2026) and $688.48 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 655.80 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 674.54 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 1.32 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 246.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 674.54 Mn |
| Mar 28, 2026 | 674.51 Mn |
| Dec 27, 2025 | 687.50 Mn |
| Sep 27, 2025 | 688.48 Mn |
| Jun 28, 2025 | 720.79 Mn |
| Mar 29, 2025 | 720.88 Mn |
| Dec 28, 2024 | 718.48 Mn |
| Sep 28, 2024 | 755.80 Mn |
| Jun 29, 2024 | 759.81 Mn |
| Mar 30, 2024 | 788.99 Mn |
| Dec 30, 2023 | 881.40 Mn |
| Sep 30, 2023 | 885.88 Mn |
| Jul 1, 2023 | 943.16 Mn |
| Apr 1, 2023 | 910.94 Mn |
| Dec 31, 2022 | 932.66 Mn |
| Oct 1, 2022 | 984.12 Mn |
| Jul 2, 2022 | 1.01 Bn |
| Apr 2, 2022 | 1.04 Bn |
| Jan 1, 2022 | 1.05 Bn |
| Oct 2, 2021 | 1.01 Bn |
V F Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();