Network Net Income Applicable To Common Shares from 2010 to 2024

NTIP Stock  USD 1.34  0.03  2.19%   
Network 1 Net Income Applicable To Common Shares yearly trend continues to be relatively stable with very little volatility. Net Income Applicable To Common Shares is likely to grow to about 13.5 M this year. Net Income Applicable To Common Shares is the net income that remains after preferred dividends have been deducted, available to common shareholders. View All Fundamentals
 
Net Income Applicable To Common Shares  
First Reported
2000-03-31
Previous Quarter
-623 K
Current Value
-476 K
Quarterly Volatility
3.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Network 1 financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Network 1's main balance sheet or income statement drivers, such as Depreciation And Amortization of 386.8 K, Interest Expense of 4.6 M or Total Revenue of 2.5 M, as well as many indicators such as Price To Sales Ratio of 21.88, Dividend Yield of 0.0486 or PTB Ratio of 1.07. Network financial statements analysis is a perfect complement when working with Network 1 Valuation or Volatility modules.
  
Check out the analysis of Network 1 Correlation against competitors.

Latest Network 1's Net Income Applicable To Common Shares Growth Pattern

Below is the plot of the Net Income Applicable To Common Shares of Network 1 Technologies over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Network 1's Net Income Applicable To Common Shares historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Network 1's overall financial position and show how it may be relating to other accounts over time.
Net Income Applicable To Common Shares10 Years Trend
Pretty Stable
   Net Income Applicable To Common Shares   
       Timeline  

Network Net Income Applicable To Common Shares Regression Statistics

Arithmetic Mean8,247,696
Geometric Mean5,757,652
Coefficient Of Variation93.18
Mean Deviation6,417,143
Median7,706,000
Standard Deviation7,684,986
Sample Variance59.1T
Range25M
R-Value0.12
Mean Square Error62.6T
R-Squared0.02
Significance0.66
Slope212,754
Total Sum of Squares826.8T

Network Net Income Applicable To Common Shares History

202413.5 M
202312.9 M
202114.3 M
2020-1.7 M
2019-1.8 M
20187.7 M
20174.1 M

About Network 1 Financial Statements

Network 1 shareholders use historical fundamental indicators, such as Net Income Applicable To Common Shares, to determine how well the company is positioned to perform in the future. Although Network 1 investors may analyze each financial statement separately, they are all interrelated. The changes in Network 1's assets and liabilities, for example, are also reflected in the revenues and expenses on on Network 1's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Income Applicable To Common Shares12.9 M13.5 M

Pair Trading with Network 1

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Network 1 position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Network 1 will appreciate offsetting losses from the drop in the long position's value.

Moving against Network Stock

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The ability to find closely correlated positions to Network 1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Network 1 when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Network 1 - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Network 1 Technologies to buy it.
The correlation of Network 1 is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Network 1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Network 1 Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Network 1 can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Network Stock Analysis

When running Network 1's price analysis, check to measure Network 1's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Network 1 is operating at the current time. Most of Network 1's value examination focuses on studying past and present price action to predict the probability of Network 1's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Network 1's price. Additionally, you may evaluate how the addition of Network 1 to your portfolios can decrease your overall portfolio volatility.