Network-1 Technologies (NTIP) Other Accumulated Expenses (2015 - 2026)
Network-1 Technologies (NTIP) recorded Other Accumulated Expenses of $66,000 in Q2 2026, down 61.8% from $173,000 a year earlier and down 91.3% from the prior quarter.
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Analysis
Network-1 Technologies (NTIP) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Network-1 Technologies reported Other Accumulated Expenses of $228,000, down 7.7% from FY2024.
- Annual Other Accumulated Expenses has declined for three straight years, though with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $247,000 in FY2024 (-16.8%), $297,000 in FY2023 (-49.4%), $587,000 in FY2022 (+226.1%) and $180,000 in FY2021 (-20.4%).
- The Q2 2026 figure is the lowest quarterly Other Accumulated Expenses since Q2 2017.
- On a year-over-year basis, Other Accumulated Expenses rose in four of the last eight quarters, with growth averaging 21.9%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 239.9% in Q1 2026, against a decline of 61.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $758,000 (Q1 2026), $228,000 (Q4 2025) and $187,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,150.66 Bn | 4,924.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,177.77 Bn | 1,802.63 Bn | 27.22 Bn |
| 3 | Broadcom | 1,557.96 Bn | 1,484.00 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,000.35 Bn | 905.98 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 850.88 Bn | 807.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 610.33 Bn | 566.02 Bn | 5.90 Bn |
| 7 | Intel | 444.84 Bn | 313.97 Bn | 6.51 Bn |
| 8 | Applied Materials | 303.38 Bn | 268.82 Bn | 4.59 Bn |
| 9 | Lam Research | 288.62 Bn | 264.67 Bn | 4.30 Bn |
| 10 | Network-1 Technologies | 36.08 Mn | -106.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66,000.00 |
| Mar 31, 2026 | 758,000.00 |
| Dec 31, 2025 | 228,000.00 |
| Sep 30, 2025 | 187,000.00 |
| Jun 30, 2025 | 173,000.00 |
| Mar 31, 2025 | 223,000.00 |
| Dec 31, 2024 | 247,000.00 |
| Sep 30, 2024 | 182,000.00 |
| Jun 30, 2024 | 120,000.00 |
| Mar 31, 2024 | 182,000.00 |
| Dec 31, 2023 | 297,000.00 |
| Sep 30, 2023 | 350,000.00 |
| Jun 30, 2023 | 101,000.00 |
| Mar 31, 2023 | 203,000.00 |
| Dec 31, 2022 | 587,000.00 |
| Sep 30, 2022 | 327,000.00 |
| Jun 30, 2022 | 158,000.00 |
| Mar 31, 2022 | 261,000.00 |
| Dec 31, 2021 | 180,000.00 |
| Sep 30, 2021 | 134,000.00 |
API Access
Network-1 Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();