Network-1 Technologies (NTIP) Assets (2010 - 2026)
Network-1 Technologies' Assets was $38.47 million in Q2 2026, down 10.2% from $42.83 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Network-1 Technologies (NTIP) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Assets at Network-1 Technologies came in at $40.33 million, down 11.2% from FY2024.
- Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In earlier years, Assets was $45.41 million in FY2024 (-13.1%), $52.28 million in FY2023 (-9.8%), $57.97 million in FY2022 (-10.6%) and $64.82 million in FY2021 (+26.6%).
- The Q2 2026 figure marks the lowest quarterly Assets since Q1 2016.
- Compared with a year earlier, Assets has declined for 18 straight quarters, with an average decline of 11.2% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q3 2021 (growth of 30.1%); the worst was Q4 2024 (a decline of 13.1%).
- Per Business Quant data, NTIP's Assets in the three quarters before Q2 2026 was $39.39 million (Q1 2026), $40.33 million (Q4 2025) and $41.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,243.67 Bn | 5,017.83 Bn | 72.14 Bn | 320.27 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,209.30 Bn | 1,834.16 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,597.83 Bn | 1,523.87 Bn | 20.46 Bn | 188.15 Bn |
| 4 | Micron Technology | 1,027.26 Bn | 932.90 Bn | 47.05 Bn | 195.89 Bn |
| 5 | Advanced Micro Devices | 880.92 Bn | 837.66 Bn | 6.20 Bn | 84.46 Bn |
| 6 | Asml Holding | 634.80 Bn | 590.49 Bn | 5.90 Bn | 59.40 Bn |
| 7 | Intel | 473.96 Bn | 343.09 Bn | 6.51 Bn | 202.44 Bn |
| 8 | Lam Research | 331.20 Bn | 308.00 Bn | 3.48 Bn | 23.53 Bn |
| 9 | Applied Materials | 320.71 Bn | 286.15 Bn | 4.59 Bn | 43.52 Bn |
| 10 | Network-1 Technologies | 34.48 Mn | -107.82 Mn | - | 38.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.47 Mn |
| Mar 31, 2026 | 39.39 Mn |
| Dec 31, 2025 | 40.33 Mn |
| Sep 30, 2025 | 41.03 Mn |
| Jun 30, 2025 | 42.83 Mn |
| Mar 31, 2025 | 43.87 Mn |
| Dec 31, 2024 | 45.41 Mn |
| Sep 30, 2024 | 46.59 Mn |
| Jun 30, 2024 | 48.06 Mn |
| Mar 31, 2024 | 49.62 Mn |
| Dec 31, 2023 | 52.28 Mn |
| Sep 30, 2023 | 51.96 Mn |
| Jun 30, 2023 | 54.39 Mn |
| Mar 31, 2023 | 55.38 Mn |
| Dec 31, 2022 | 57.97 Mn |
| Sep 30, 2022 | 58.89 Mn |
| Jun 30, 2022 | 57.19 Mn |
| Mar 31, 2022 | 61.71 Mn |
| Dec 31, 2021 | 64.82 Mn |
| Sep 30, 2021 | 66.34 Mn |
API Access
Network-1 Technologies Assets 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=assets&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();