Navitas Semiconductor (NVTS) Shares Outstanding (2020 - 2026)
Navitas Semiconductor's Shares Outstanding was 240.64 million in Q2 2026, up 21.0% from 198.96 million a year earlier and up 4.6% from the prior quarter.
Navitas Semiconductor (NVTS) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Navitas Semiconductor came in at 205.57 million, up 12.7% from FY2024.
- 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, 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 Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q3 2020.
- Compared with a year earlier, Shares Outstanding has increased for 20 straight quarters, with growth averaging 12.2% over the last eight quarters.
- The year-over-year growth in 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 Shares Outstanding in the three quarters before Q2 2026 was 229.99 million (Q1 2026), 205.57 million (Q4 2025) and 212.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.63 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 388.50 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.10 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.26 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 794.00 Mn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 240.64 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 25.30 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();