Network-1 Technologies (NTIP) Operating Expenses (2010 - 2026)
Network-1 Technologies (NTIP) recorded Operating Expenses of $1.01 million in Q2 2026, up 40.7% from $720,000 a year earlier but down 28.4% from the prior quarter.
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Analysis
Network-1 Technologies (NTIP) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Network-1 Technologies' Operating Expenses came in at $4.37 million as of Jun 30, 2026, up 21.6% year-over-year; for FY2025, it came in at $3.46 million, down 7.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $3.72 million in FY2024 (-23.1%), $4.84 million in FY2023 (+23.9%), $3.9 million in FY2022 (-76.3%) and $16.44 million in FY2021 (+141.2%).
- Quarterly Operating Expenses has ranged from $720,000 in Q2 2025 to $7.96 million in Q3 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 219.8% in Q3 2021, against a decline of 89.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.42 million (Q1 2026), $1.14 million (Q4 2025) and $800,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,306.75 Bn | 5,080.91 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,215.70 Bn | 1,840.56 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,591.35 Bn | 1,517.40 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,026.05 Bn | 931.69 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 890.54 Bn | 847.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 648.14 Bn | 603.83 Bn | 5.90 Bn | - |
| 7 | Intel | 470.92 Bn | 340.05 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 335.60 Bn | 312.39 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 325.34 Bn | 290.78 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Network-1 Technologies | 35.85 Mn | -106.45 Mn | - | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Mar 31, 2026 | 1.42 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 800,000.00 |
| Jun 30, 2025 | 720,000.00 |
| Mar 31, 2025 | 795,000.00 |
| Dec 31, 2024 | 1.18 Mn |
| Sep 30, 2024 | 896,000.00 |
| Jun 30, 2024 | 724,000.00 |
| Mar 31, 2024 | 918,000.00 |
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 859,000.00 |
| Jun 30, 2023 | 832,000.00 |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 1.33 Mn |
| Sep 30, 2022 | 838,000.00 |
| Jun 30, 2022 | 834,000.00 |
| Mar 31, 2022 | 897,000.00 |
| Dec 31, 2021 | 1.16 Mn |
| Sep 30, 2021 | 7.96 Mn |
API Access
Network-1 Technologies Operating 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=operating-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();