Worksport (WKSP) Shares Outstanding (Entity) (2012 - 2026)
Worksport (WKSP) reported Shares Outstanding (Entity) of 11.86 million for Q2 2026, up 114.9% from 5.52 million a year earlier but down 0.6% from the prior quarter.
Powered by 
Analysis
Worksport (WKSP) Shares Outstanding (Entity) (2012 - 2026) Analysis & Trends
For FY2025, Worksport posted Shares Outstanding (Entity) of 6.14 million, up 121.9% from FY2024.
- Shares Outstanding (Entity) has increased for six consecutive years, with a five-year compound annual growth rate of 86.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 2.77 million in FY2024 (+36.3%), 2.03 million in FY2023 (+18.4%), 1.72 million in FY2022 (+49.2%) and 1.15 million in FY2021 (+320.7%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 1.15 million in Q4 2021 and a high of 11.93 million in Q1 2026.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 26 quarters, with growth averaging 104.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 0.9% in Q1 2023 to 356.5% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at 11.93 million (Q1 2026), 6.14 million (Q4 2025) and 7.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 3.24 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 877.45 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 3.92 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.36 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Worksport | 5.45 Mn | -5.98 Mn | 1.65 Mn | 11.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.86 Mn |
| Mar 31, 2026 | 11.93 Mn |
| Dec 31, 2025 | 6.14 Mn |
| Sep 30, 2025 | 7.59 Mn |
| Jun 30, 2025 | 5.52 Mn |
| Mar 31, 2025 | 4.80 Mn |
| Dec 31, 2024 | 2.77 Mn |
| Sep 30, 2024 | 3.09 Mn |
| Jun 30, 2024 | 2.85 Mn |
| Mar 31, 2024 | 2.41 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | 1.74 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.70 Mn |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 1.40 Mn |
API Access
Worksport Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=WKSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();