Network-1 Technologies (NTIP) Total Current Liabilities (2018 - 2026)
Network-1 Technologies (NTIP) reported Total Current Liabilities of $722,000 for Q2 2026, up 91.5% from $377,000 a year earlier but down 35.0% from the prior quarter.
Network-1 Technologies (NTIP) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Network-1 Technologies posted Total Current Liabilities of $770,000, up 0.5% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $766,000 in FY2024 (-6.9%), $823,000 in FY2023 (-48.7%), $1.61 million in FY2022 (-60.9%) and $4.11 million in FY2021 (+102.2%).
- Five-year quarterly Total Current Liabilities spans a low of $377,000 in Q2 2025 and a high of $4.11 million in Q4 2021.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 15.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 950.9%); the low point was Q3 2022 (a decline of 77.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.11 million (Q1 2026), $770,000 (Q4 2025) and $407,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,248.50 Bn | 5,022.67 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,214.17 Bn | 1,839.03 Bn | 27.22 Bn | 58.30 Bn |
| 3 | Broadcom | 1,600.49 Bn | 1,526.54 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,027.15 Bn | 932.78 Bn | 47.05 Bn | 27.48 Bn |
| 5 | Advanced Micro Devices | 882.37 Bn | 839.11 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 635.58 Bn | 591.26 Bn | 5.90 Bn | 28.50 Bn |
| 7 | Intel | 474.57 Bn | 343.70 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 331.77 Bn | 308.57 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 321.07 Bn | 286.51 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Network-1 Technologies | 35.51 Mn | -106.80 Mn | - | 722,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 722,000.00 |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 770,000.00 |
| Sep 30, 2025 | 407,000.00 |
| Jun 30, 2025 | 377,000.00 |
| Mar 31, 2025 | 944,000.00 |
| Dec 31, 2024 | 766,000.00 |
| Sep 30, 2024 | 599,000.00 |
| Jun 30, 2024 | 412,000.00 |
| Mar 31, 2024 | 545,000.00 |
| Dec 31, 2023 | 823,000.00 |
| Sep 30, 2023 | 650,000.00 |
| Jun 30, 2023 | 751,000.00 |
| Mar 31, 2023 | 1.23 Mn |
| Dec 31, 2022 | 1.61 Mn |
| Sep 30, 2022 | 812,000.00 |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 4.01 Mn |
| Dec 31, 2021 | 4.11 Mn |
| Sep 30, 2021 | 3.62 Mn |
Network-1 Technologies Total Current 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-current-liabilities&ticker=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();