Vince Holding (VNCE) Property, Plant & Equipment (Net) (2013 - 2026)
Vince Holding (VNCE) recorded Property, Plant & Equipment (Net) of $7.95 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.5% from $8.42 million a year earlier but up 5.0% from the prior quarter.
Vince Holding (VNCE) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vince Holding reported Property, Plant & Equipment (Net) of $7.94 million, up 7.6% from FY2025.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -14.9% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $7.38 million in FY2025 (+5.8%), $6.97 million in FY2024 (-33.5%), $10.48 million in FY2023 (-38.8%) and $17.12 million in FY2022 (-3.5%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $6.3 million in fiscal Q2 2025 to $18.14 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in five of the last eight quarters, with growth averaging 8.3%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 33.6% in fiscal Q2 2026, against a decline of 46.5% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.58 million (Q1 2027), $7.94 million (Q4 2026) and $8.48 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Vince Holding | 135.70 Mn | 132.37 Mn | 49.83 Mn | 7.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.95 Mn |
| May 2, 2026 | 7.58 Mn |
| Jan 31, 2026 | 7.94 Mn |
| Nov 1, 2025 | 8.48 Mn |
| Aug 2, 2025 | 8.42 Mn |
| May 3, 2025 | 8.10 Mn |
| Feb 1, 2025 | 7.38 Mn |
| Nov 2, 2024 | 6.78 Mn |
| Aug 3, 2024 | 6.30 Mn |
| May 4, 2024 | 6.87 Mn |
| Feb 3, 2024 | 6.97 Mn |
| Oct 28, 2023 | 7.65 Mn |
| Jul 29, 2023 | 8.35 Mn |
| Apr 29, 2023 | 9.41 Mn |
| Jan 28, 2023 | 10.48 Mn |
| Oct 29, 2022 | 13.29 Mn |
| Jul 30, 2022 | 15.59 Mn |
| Apr 30, 2022 | 16.24 Mn |
| Jan 29, 2022 | 17.12 Mn |
| Oct 30, 2021 | 18.14 Mn |
Vince Holding 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=VNCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VNCE", "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=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();