Polar Power (POLA) Shares Outstanding (Diluted) (2020 - 2026)
Polar Power (POLA) recorded Shares Outstanding (Diluted) of 3.72 million in Q2 2026, up 48.2% from 2.51 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Polar Power (POLA) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Polar Power reported Shares Outstanding (Diluted) of 2.54 million, up 1.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 2.51 million in FY2024 (+32.1%), 1.9 million in FY2023 (+3.2%), 1.84 million in FY2022 (+0.6%) and 1.83 million in FY2021 (+13.2%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 20 consecutive quarters, with growth averaging 19.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.1% (Q1 2025) to 48.2% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at 3.48 million (Q1 2026), 2.54 million (Q4 2025) and 2.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Polar Power | 1.03 Mn | 615,154.72 | -337,000.00 | 3.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.72 Mn |
| Mar 31, 2026 | 3.48 Mn |
| Dec 31, 2025 | 2.54 Mn |
| Sep 30, 2025 | 2.51 Mn |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 2.51 Mn |
| Sep 30, 2024 | 2.51 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | 1.85 Mn |
| Dec 31, 2022 | 1.84 Mn |
| Sep 30, 2022 | 1.84 Mn |
| Jun 30, 2022 | 1.83 Mn |
| Mar 31, 2022 | 1.83 Mn |
| Dec 31, 2021 | 1.83 Mn |
| Sep 30, 2021 | 1.83 Mn |
API Access
Polar Power 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=POLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "POLA", "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=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();