Navitas Semiconductor (NVTS) Shares Outstanding (2020 - 2026)
Navitas Semiconductor's Weighted Average Shares Outstanding was 261.53 million in Q3 2026, up 23.0% from 212.68 million a year earlier and up 8.7% from the prior quarter.
Navitas Semiconductor (NVTS) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Navitas Semiconductor came in at 205.57 million, up 12.7% from FY2024.
- Weighted Average Shares Outstanding has now increased for five consecutive years, with a five-year compound annual growth rate of 46.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 182.46 million in FY2024 (+8.0%), 168.93 million in FY2023 (+26.4%), 133.67 million in FY2022 (+241.3%) and 39.17 million in FY2021 (+26.6%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2020.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 21 straight quarters, with growth averaging 14.4% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 4.5% (Q1 2025) and 447.3% (Q3 2022) over the last five years.
- Per Business Quant data, NVTS's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 240.64 million (Q2 2026), 229.99 million (Q1 2026) and 205.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 189.55 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.19 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.13 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.64 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.50 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.24 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 794.00 Mn |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | 261.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 261.53 Mn |
| Jun 30, 2026 | 240.64 Mn |
| Mar 31, 2026 | 229.99 Mn |
| Dec 31, 2025 | 205.57 Mn |
| Sep 30, 2025 | 212.68 Mn |
| Jun 30, 2025 | 198.96 Mn |
| Mar 31, 2025 | 187.78 Mn |
| Dec 31, 2024 | 182.46 Mn |
| Sep 30, 2024 | 184.67 Mn |
| Jun 30, 2024 | 183.13 Mn |
| Mar 31, 2024 | 179.78 Mn |
| Dec 31, 2023 | 168.93 Mn |
| Sep 30, 2023 | 175.10 Mn |
| Jun 30, 2023 | 165.61 Mn |
| Mar 31, 2023 | 156.79 Mn |
| Dec 31, 2022 | 133.67 Mn |
| Sep 30, 2022 | 138.46 Mn |
| Jun 30, 2022 | 124.03 Mn |
| Mar 31, 2022 | 119.54 Mn |
| Dec 31, 2021 | 39.17 Mn |
Navitas Semiconductor Shares Outstanding 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&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "NVTS", "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&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();