Network 1 Technologies Stock Price To Earnings To Growth

NTIP Stock  USD 1.37  0.02  1.48%   
Network 1 Technologies fundamentals help investors to digest information that contributes to Network 1's financial success or failures. It also enables traders to predict the movement of Network Stock. The fundamental analysis module provides a way to measure Network 1's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Network 1 stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Network 1 Technologies Company Price To Earnings To Growth Analysis

Network 1's PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.

Network Price To Earnings To Growth Driver Correlations

Understanding the fundamental principles of building solid financial models for Network 1 is extremely important. It helps to project a fair market value of Network Stock properly, considering its historical fundamentals such as Price To Earnings To Growth. Since Network 1's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Network 1's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Network 1's interrelated accounts and indicators.
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-0.64-0.62-0.270.28-0.05-0.62-0.68-0.460.470.37-0.020.52-0.40.22-0.11-0.06-0.23-0.27-0.13
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0.260.26-0.130.010.17-0.420.10.220.080.090.160.1-0.03-0.03-0.28-0.27-0.170.720.6
Click cells to compare fundamentals
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
Competition

Network Price Earnings To Growth Ratio

Price Earnings To Growth Ratio

(0.3)

At this time, Network 1's Price Earnings To Growth Ratio is relatively stable compared to the past year.
Based on the latest financial disclosure, Network 1 Technologies has a Price To Earnings To Growth of 0.0 times. This is 100.0% lower than that of the Communications Equipment sector and about the same as Information Technology (which currently averages 0.0) industry. The price to earnings to growth for all United States stocks is 100.0% higher than that of the company.

Network Price To Earnings To Growth Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Network 1's direct or indirect competition against its Price To Earnings To Growth to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Network 1 could also be used in its relative valuation, which is a method of valuing Network 1 by comparing valuation metrics of similar companies.
Network 1 is currently under evaluation in price to earnings to growth category among its peers.

Network 1 Current Valuation Drivers

We derive many important indicators used in calculating different scores of Network 1 from analyzing Network 1's financial statements. These drivers represent accounts that assess Network 1's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Network 1's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap52.3M88.6M68.1M52.4M51.9M28.1M
Enterprise Value29.7M63.1M23.6M39.1M35.0M36.7M

Network Fundamentals

About Network 1 Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Network 1 Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Network 1 using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Network 1 Technologies based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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.