Winmark (WINA) Property, Plant & Equipment (Net) (2010 - 2026)
Winmark's Property, Plant & Equipment (Net) came in at $1.21 million for Q3 2026, down 6.3% from $1.3 million a year earlier but up 11.8% from the prior quarter.
Winmark (WINA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Winmark's Property, Plant & Equipment (Net) was $1.22 million, down 14.1% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last six years, with a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.42 million in FY2024 (-15.0%), $1.67 million in FY2023 (-2.0%), $1.7 million in FY2022 (-13.8%) and $1.98 million in FY2021 (-15.3%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $1.09 million (Q2 2026) to $1.98 million (Q4 2021).
- Year-over-year, Property, Plant & Equipment (Net) has declined for nine consecutive quarters, with an average decline of 15.1% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2024 (growth of 2.7%), and the weakest in Q2 2025 (a decline of 18.8%).
- Business Quant data shows WINA's Property, Plant & Equipment (Net) at $1.09 million (Q2 2026), $1.14 million (Q1 2026) and $1.22 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 18.28 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 6.55 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.26 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 34.77 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.86 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Winmark | 995.54 Mn | 911.62 Mn | 19.32 Mn | 1.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.21 Mn |
| Jun 27, 2026 | 1.09 Mn |
| Mar 28, 2026 | 1.14 Mn |
| Dec 27, 2025 | 1.22 Mn |
| Sep 27, 2025 | 1.30 Mn |
| Jun 28, 2025 | 1.33 Mn |
| Mar 29, 2025 | 1.37 Mn |
| Dec 28, 2024 | 1.42 Mn |
| Sep 28, 2024 | 1.52 Mn |
| Jun 29, 2024 | 1.64 Mn |
| Mar 30, 2024 | 1.65 Mn |
| Dec 30, 2023 | 1.67 Mn |
| Sep 30, 2023 | 1.68 Mn |
| Jul 1, 2023 | 1.59 Mn |
| Apr 1, 2023 | 1.61 Mn |
| Dec 31, 2022 | 1.70 Mn |
| Sep 24, 2022 | 1.74 Mn |
| Jun 25, 2022 | 1.82 Mn |
| Mar 26, 2022 | 1.90 Mn |
| Dec 25, 2021 | 1.98 Mn |
Winmark 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=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WINA", "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=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();