Nve (NVEC) Shares Outstanding (Diluted) (2009 - 2026)
Nve's Weighted Average Shares Outstanding (Diluted) was 4.85 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 0.2% from 4.84 million a year earlier and up 0.1% from the prior quarter.
Nve (NVEC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Weighted Average Shares Outstanding (Diluted) at Nve came in at 4.84 million, unchanged from FY2025.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding (Diluted) was 4.84 million in FY2025 (unchanged), 4.84 million in FY2024 (+0.2%), 4.83 million in FY2023 (-0.1%) and 4.84 million in FY2022 (unchanged).
- The fiscal Q2 2027 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q2 2019.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in two of the last eight quarters, with growth averaging 0.1%.
- Per Business Quant data, NVEC's Weighted Average Shares Outstanding (Diluted) in the three fiscal quarters before Q2 2027 was 4.85 million (Q1 2027), 4.84 million (Q4 2026) and 4.84 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 14.72 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 3.99 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 1.28 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 652.00 Mn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 6.01 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 154.00 Mn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 232.00 Mn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 384.00 Mn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 1.45 Bn |
| 10 | Nve | 392.61 Mn | 306.79 Mn | 4.56 Mn | 4.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.85 Mn |
| Jun 30, 2026 | 4.85 Mn |
| Mar 31, 2026 | 4.84 Mn |
| Dec 31, 2025 | 4.84 Mn |
| Sep 30, 2025 | 4.84 Mn |
| Jun 30, 2025 | 4.84 Mn |
| Mar 31, 2025 | 4.84 Mn |
| Dec 31, 2024 | 4.84 Mn |
| Sep 30, 2024 | 4.84 Mn |
| Jun 30, 2024 | 4.84 Mn |
| Mar 31, 2024 | 4.84 Mn |
| Dec 31, 2023 | 4.84 Mn |
| Sep 30, 2023 | 4.84 Mn |
| Jun 30, 2023 | 4.84 Mn |
| Mar 31, 2023 | 4.83 Mn |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 4.83 Mn |
| Jun 30, 2022 | 4.83 Mn |
| Mar 31, 2022 | 4.84 Mn |
| Dec 31, 2021 | 4.84 Mn |
Nve 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=NVEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NVEC", "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=NVEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();