Network-1 Technologies (NTIP) Cash & Equivalents (2010 - 2026)
Network-1 Technologies' Cash & Equivalents was $9.44 million in Q2 2026, down 29.7% from $13.42 million a year earlier but up 9.6% from the prior quarter.
Powered by 
Analysis
Network-1 Technologies (NTIP) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Network-1 Technologies came in at $13.4 million, up 2.0% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $13.15 million in FY2024 (-22.2%), $16.9 million in FY2023 (+25.6%), $13.45 million in FY2022 (-69.8%) and $44.5 million in FY2021 (+74.5%).
- Quarterly Cash & Equivalents has moved between $7.71 million (Q3 2025) and $44.5 million (Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 27.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2024 (growth of 82.5%); the worst was Q1 2023 (a decline of 76.6%).
- Per Business Quant data, NTIP's Cash & Equivalents in the three quarters before Q2 2026 was $8.61 million (Q1 2026), $13.4 million (Q4 2025) and $7.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,194.56 Bn | 4,968.72 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,177.38 Bn | 1,802.24 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,591.53 Bn | 1,517.58 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,008.29 Bn | 913.93 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 871.28 Bn | 828.02 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 634.87 Bn | 590.56 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 460.43 Bn | 329.56 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 333.10 Bn | 309.89 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 323.15 Bn | 288.59 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Network-1 Technologies | 35.62 Mn | -106.68 Mn | - | 9.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.44 Mn |
| Mar 31, 2026 | 8.61 Mn |
| Dec 31, 2025 | 13.40 Mn |
| Sep 30, 2025 | 7.71 Mn |
| Jun 30, 2025 | 13.42 Mn |
| Mar 31, 2025 | 12.29 Mn |
| Dec 31, 2024 | 13.15 Mn |
| Sep 30, 2024 | 14.32 Mn |
| Jun 30, 2024 | 19.94 Mn |
| Mar 31, 2024 | 18.11 Mn |
| Dec 31, 2023 | 16.90 Mn |
| Sep 30, 2023 | 20.89 Mn |
| Jun 30, 2023 | 16.62 Mn |
| Mar 31, 2023 | 9.92 Mn |
| Dec 31, 2022 | 13.45 Mn |
| Sep 30, 2022 | 21.16 Mn |
| Jun 30, 2022 | 25.53 Mn |
| Mar 31, 2022 | 42.46 Mn |
| Dec 31, 2021 | 44.50 Mn |
| Sep 30, 2021 | 43.17 Mn |
API Access
Network-1 Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();