Polestar Automotive Holding UK (PSNYW) Shares Outstanding (Diluted) (2020 - 2026)
Polestar Automotive Holding UK's Shares Outstanding (Diluted) was 92.5 million in Q2 2026, up 31.5% from 70.34 million a year earlier and unchanged from the prior quarter.
Polestar Automotive Holding UK (PSNYW) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
From Q4 2020 onward, Polestar Automotive Holding UK has reported Shares Outstanding (Diluted) for 21 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 70.34 million in FY2024 (unchanged), 70.34 million in FY2023 (+4.1%), 67.58 million in FY2022 (+6.1%) and 63.72 million in FY2021 (+13.7%).
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for three straight quarters, with growth averaging 12.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.0% (Q4 2024) to 31.5% (Q2 2026).
- Per Business Quant data, PSNYW's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 92.5 million (Q1 2026), 92.5 million (Q4 2025) and 70.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 3.54 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 13.03 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 178.32 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 910.00 Mn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 3.99 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 1.33 Bn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | 282.50 Mn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Polestar Automotive Holding UK | 391.29 Mn | -3.37 Bn | -94.81 Mn | 92.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.50 Mn |
| Mar 31, 2026 | 92.50 Mn |
| Dec 31, 2025 | 92.50 Mn |
| Sep 30, 2025 | 70.34 Mn |
| Jun 30, 2025 | 70.34 Mn |
| Mar 31, 2025 | 70.34 Mn |
| Dec 31, 2024 | 70.34 Mn |
| Sep 30, 2024 | 70.34 Mn |
| Jun 30, 2024 | 70.34 Mn |
| Mar 31, 2024 | 70.34 Mn |
| Dec 31, 2023 | 70.34 Mn |
| Sep 30, 2023 | 67.58 Mn |
| Jun 30, 2023 | 67.58 Mn |
| Mar 31, 2023 | 67.58 Mn |
| Dec 31, 2022 | 67.58 Mn |
| Sep 30, 2022 | 63.72 Mn |
| Jun 30, 2022 | 63.72 Mn |
| Mar 31, 2022 | 63.72 Mn |
| Dec 31, 2021 | 63.72 Mn |
| Sep 30, 2021 | 56.05 Mn |
Polestar Automotive Holding UK Shares Outstanding (Diluted) 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-diluted&ticker=PSNYW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PSNYW", "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-diluted&ticker=PSNYW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();