Worksport (WKSP) Property, Plant & Equipment (Net) (2015 - 2026)
Worksport (WKSP) reported Property, Plant & Equipment (Net) of $11.95 million for Q2 2026, down 9.6% from $13.22 million a year earlier and down 10.5% from the prior quarter.
Worksport (WKSP) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Worksport posted Property, Plant & Equipment (Net) of $12.69 million, down 7.0% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 168.2% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $13.64 million in FY2024 (-5.8%), $14.48 million in FY2023 (+21.7%), $11.9 million in FY2022 (+954.3%) and $1.13 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last eight quarters, with an average decline of 5.6% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2022 (growth of 954.3%); the low point was Q2 2026 (a decline of 9.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.34 million (Q1 2026), $12.69 million (Q4 2025) and $13.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 108.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 2.50 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 23.29 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 53.32 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 39.96 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 5.56 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 8.85 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 53.62 Bn |
| 10 | Worksport | 5.45 Mn | -5.98 Mn | 1.65 Mn | 11.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.95 Mn |
| Mar 31, 2026 | 13.34 Mn |
| Dec 31, 2025 | 12.69 Mn |
| Sep 30, 2025 | 13.21 Mn |
| Jun 30, 2025 | 13.22 Mn |
| Mar 31, 2025 | 13.50 Mn |
| Dec 31, 2024 | 13.64 Mn |
| Sep 30, 2024 | 13.97 Mn |
| Jun 30, 2024 | 14.31 Mn |
| Mar 31, 2024 | 14.31 Mn |
| Dec 31, 2023 | 14.48 Mn |
| Sep 30, 2023 | 14.33 Mn |
| Jun 30, 2023 | 14.04 Mn |
| Mar 31, 2023 | 12.79 Mn |
| Dec 31, 2022 | 11.90 Mn |
| Sep 30, 2022 | 11.26 Mn |
| Jun 30, 2022 | 10.24 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 1.13 Mn |
| Sep 30, 2021 | 800,970.00 |
Worksport 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=WKSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WKSP", "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=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();