Network-1 Technologies (NTIP) Total Liabilities (2010 - 2026)
Network-1 Technologies (NTIP) reported Total Liabilities of $967,000 for Q2 2026, up 71.2% from $565,000 a year earlier but down 28.6% from the prior quarter.
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Analysis
Network-1 Technologies (NTIP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Network-1 Technologies posted Total Liabilities of $770,000, down 30.2% from FY2024.
- Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.1 million in FY2024 (-30.4%), $1.59 million in FY2023 (-44.6%), $2.86 million in FY2022 (-38.7%) and $4.66 million in FY2021 (+129.4%).
- Five-year quarterly Total Liabilities spans a low of $512,000 in Q3 2025 and a high of $4.66 million in Q4 2021.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 11.9%.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 129.4%); the low point was Q2 2022 (a decline of 59.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.36 million (Q1 2026), $770,000 (Q4 2025) and $512,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,162.51 Bn | 4,936.67 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,163.79 Bn | 1,788.66 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,588.77 Bn | 1,514.81 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,002.83 Bn | 908.46 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 862.80 Bn | 819.54 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 628.92 Bn | 584.61 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 456.55 Bn | 325.69 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 328.25 Bn | 305.05 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 318.47 Bn | 283.92 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Network-1 Technologies | 34.48 Mn | -107.82 Mn | - | 967,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 967,000.00 |
| Mar 31, 2026 | 1.36 Mn |
| Dec 31, 2025 | 770,000.00 |
| Sep 30, 2025 | 512,000.00 |
| Jun 30, 2025 | 565,000.00 |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 1.01 Mn |
| Jun 30, 2024 | 890,000.00 |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 2.32 Mn |
| Dec 31, 2022 | 2.86 Mn |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 4.11 Mn |
| Dec 31, 2021 | 4.66 Mn |
| Sep 30, 2021 | 4.30 Mn |
API Access
Network-1 Technologies Total Liabilities 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=total-liabilities&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();