Network-1 Technologies (NTIP) Long-Term Investments (2013 - 2026)
Network-1 Technologies' Long-Term Investments came in at $2.79 million for Q2 2026, up 7.3% from $2.6 million a year earlier and unchanged from the prior quarter.
Network-1 Technologies (NTIP) Long-Term Investments (2013 - 2026) Analysis & Trends
At the end of FY2025, Network-1 Technologies' Long-Term Investments was $1.73 million, down 48.0% from FY2024.
- Long-Term Investments has declined in each of the last three years, with a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $3.34 million in FY2024 (-36.4%), $5.25 million in FY2023 (-27.6%), $7.25 million in FY2022 (+173.6%) and $2.65 million in FY2021 (-27.4%).
- The five-year range for quarterly Long-Term Investments is $1.73 million (Q4 2025) to $7.66 million (Q3 2022).
- Year-over-year, Long-Term Investments increased in 1 of the last eight quarters, with an average decline of 28.3%.
- The fastest year-over-year change in Long-Term Investments over five years came in Q4 2022 (growth of 173.6%), and the weakest in Q4 2025 (a decline of 48.0%).
- Business Quant data shows NTIP's Long-Term Investments at $2.79 million (Q1 2026), $1.73 million (Q4 2025) and $2.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.51 Bn | 4,910.67 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,162.42 Bn | 1,787.28 Bn | 27.22 Bn | 568.83 Mn |
| 3 | Broadcom | 1,538.61 Bn | 1,464.65 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 991.61 Bn | 897.25 Bn | 47.05 Bn | 30.02 Bn |
| 5 | Advanced Micro Devices | 843.53 Bn | 800.28 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 607.61 Bn | 563.30 Bn | 5.90 Bn | 1.55 Bn |
| 7 | Intel | 441.34 Bn | 310.48 Bn | 6.51 Bn | 8.41 Bn |
| 8 | Applied Materials | 300.18 Bn | 265.62 Bn | 4.59 Bn | 5.27 Bn |
| 9 | Lam Research | 284.99 Bn | 261.05 Bn | 4.30 Bn | - |
| 10 | Network-1 Technologies | 35.85 Mn | -106.45 Mn | - | 2.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Mn |
| Mar 31, 2026 | 2.79 Mn |
| Dec 31, 2025 | 1.73 Mn |
| Sep 30, 2025 | 2.24 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 3.34 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 4.62 Mn |
| Dec 31, 2023 | 5.25 Mn |
| Sep 30, 2023 | 5.66 Mn |
| Jun 30, 2023 | 6.19 Mn |
| Mar 31, 2023 | 6.58 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | 7.66 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 2.65 Mn |
| Sep 30, 2021 | 6.00 Mn |
Network-1 Technologies Long-Term Investments 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=long-term-investments&ticker=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();