Network-1 Technologies (NTIP) Shares Outstanding (Entity) (2010 - 2026)
Network-1 Technologies (NTIP) posted Shares Outstanding (Entity) of 22.86 million for Q2 2026, up 0.1% from 22.84 million a year earlier and up 0.3% from the prior quarter.
Network-1 Technologies (NTIP) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Network-1 Technologies' Shares Outstanding (Entity) came in at 22.82 million, down 0.6% from FY2024.
- Annual Shares Outstanding (Entity) has declined for three consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Network-1 Technologies' Shares Outstanding (Entity) was 22.96 million in FY2024 (-2.5%), 23.55 million in FY2023 (-1.3%), 23.86 million in FY2022 (+0.3%) and 23.79 million in FY2021 (-1.3%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) since Q1 2025.
- On a year-over-year basis, Shares Outstanding (Entity) increased in 1 of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2022, with growth of 0.3%; the weakest was Q1 2025, with a decline of 2.8%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 22.8 million (Q1 2026), 22.82 million (Q4 2025) and 22.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | 24.10 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | 1.63 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | 385.42 Mn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 5.04 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 1.25 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | 793.60 Mn |
| 10 | Network-1 Technologies | 36.08 Mn | -106.23 Mn | - | 22.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.86 Mn |
| Mar 31, 2026 | 22.80 Mn |
| Dec 31, 2025 | 22.82 Mn |
| Sep 30, 2025 | 22.82 Mn |
| Jun 30, 2025 | 22.84 Mn |
| Mar 31, 2025 | 22.88 Mn |
| Dec 31, 2024 | 22.96 Mn |
| Sep 30, 2024 | 23.11 Mn |
| Jun 30, 2024 | 23.19 Mn |
| Mar 31, 2024 | 23.55 Mn |
| Dec 31, 2023 | 23.55 Mn |
| Sep 30, 2023 | 23.66 Mn |
| Jun 30, 2023 | 23.81 Mn |
| Mar 31, 2023 | 23.81 Mn |
| Dec 31, 2022 | 23.86 Mn |
| Sep 30, 2022 | 23.73 Mn |
| Jun 30, 2022 | 23.79 Mn |
| Mar 31, 2022 | 23.88 Mn |
| Dec 31, 2021 | 23.79 Mn |
| Sep 30, 2021 | 24.10 Mn |
Network-1 Technologies Shares Outstanding (Entity) 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-entity&ticker=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "NTIP", "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-entity&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();