Network-1 Technologies (NTIP) Accumulated Expenses (2010 - 2023)
Network-1 Technologies' Accumulated Expenses was $88,000 in Q4 2023.
Analysis
Network-1 Technologies (NTIP) Accumulated Expenses (2010 - 2023) Analysis & Trends
From Q4 2010 onward, Network-1 Technologies has reported Accumulated Expenses for 24 quarters.
- Accumulated Expenses shows a four-year compound annual growth rate of -34.7% (FY2019 to FY2023).
- In earlier years, Accumulated Expenses was $886,000 in FY2020 (+82.7%) and $485,000 in FY2019.
- The Q4 2023 figure marks the highest quarterly Accumulated Expenses since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,166.74 Bn | 4,940.90 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,150.13 Bn | 1,774.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,545.07 Bn | 1,471.11 Bn | 20.46 Bn |
| 4 | Micron Technology | 987.68 Bn | 893.32 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 836.38 Bn | 793.12 Bn | 6.20 Bn |
| 6 | Asml Holding | 619.07 Bn | 574.76 Bn | 5.90 Bn |
| 7 | Intel | 445.73 Bn | 314.87 Bn | 6.51 Bn |
| 8 | Applied Materials | 301.95 Bn | 267.39 Bn | 4.59 Bn |
| 9 | Lam Research | 293.56 Bn | 270.36 Bn | 3.48 Bn |
| 10 | Network-1 Technologies | 35.51 Mn | -106.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 88,000.00 |
| Sep 30, 2021 | 46,000.00 |
| Jun 30, 2021 | 887,000.00 |
| Mar 31, 2021 | 5.38 Mn |
| Dec 31, 2020 | 886,000.00 |
| Sep 30, 2020 | 36,000.00 |
| Jun 30, 2020 | 36,000.00 |
| Dec 31, 2019 | 485,000.00 |
| Sep 30, 2016 | 5.57 Mn |
| Jun 30, 2016 | 1.68 Mn |
| Mar 31, 2016 | 2.33 Mn |
| Dec 31, 2015 | 1.55 Mn |
| Dec 31, 2014 | 1.87 Mn |
| Sep 30, 2014 | 562,000.00 |
| Mar 31, 2014 | 1.53 Mn |
| Dec 31, 2013 | 628,000.00 |
| Sep 30, 2013 | 460,000.00 |
| Jun 30, 2013 | 651,000.00 |
| Mar 31, 2013 | 1.33 Mn |
| Dec 31, 2012 | 593,000.00 |
API Access
Network-1 Technologies 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=accumulated-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();