Network 1 Technologies Stock Revenue Per Share
NTIP Stock | USD 1.38 0.04 2.99% |
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.
Last Reported | Projected for Next Year | ||
Revenue Per Share | 0.10 | 0.09 |
Network | Revenue Per Share |
Network 1 Technologies Company Revenue Per Share Analysis
Network 1's Revenue per Share is a ratio of total revenue earned per one share of common stock over a single fiscal year. It is calculated by dividing sales revenue earned over 12 months by the average number of outstanding shares. Revenue used in the calculation of this ratio is typically recorded when cash or cash equivalents are exchanged for services or goods.
Current Network 1 Revenue Per Share | 0.0935 |
Most of Network 1's fundamental indicators, such as Revenue Per Share, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Network 1 Technologies is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Network Revenue Per Share 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 Revenue Per Share. 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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Network Revenue Per Share Historical Pattern
Today, most investors in Network 1 Stock are looking for potential investment opportunities by analyzing not only static indicators but also various Network 1's growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's revenue per share growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of Network 1 revenue per share as a starting point in their analysis.
Network 1 Revenue Per Share |
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Revenue per share does not take into account any of company expenses and is helpful only when comparing relative sale figures within a given industry.
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Network Common Stock Shares Outstanding
Common Stock Shares Outstanding |
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Network Revenue Per Share 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 Revenue Per Share 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 revenue per share 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.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Market Cap | 52.3M | 88.6M | 68.1M | 52.4M | 51.9M | 28.1M | |
Enterprise Value | 29.7M | 63.1M | 23.6M | 39.1M | 35.0M | 36.7M |
Network Fundamentals
Return On Equity | -0.03 | ||||
Return On Asset | -0.0221 | ||||
Profit Margin | (0.77) % | ||||
Operating Margin | (0.93) % | ||||
Current Valuation | (10.51 M) | ||||
Shares Outstanding | 23.04 M | ||||
Shares Owned By Insiders | 40.95 % | ||||
Shares Owned By Institutions | 25.70 % | ||||
Number Of Shares Shorted | 3.09 K | ||||
Price To Earning | 20.27 X | ||||
Price To Book | 0.68 X | ||||
Price To Sales | 16.46 X | ||||
Revenue | 2.6 M | ||||
Gross Profit | 34.23 M | ||||
EBITDA | (2.23 M) | ||||
Net Income | (1.46 M) | ||||
Cash And Equivalents | 52.12 M | ||||
Cash Per Share | 2.19 X | ||||
Total Debt | 23 K | ||||
Debt To Equity | 0 % | ||||
Current Ratio | 48.80 X | ||||
Book Value Per Share | 1.97 X | ||||
Cash Flow From Operations | 331 K | ||||
Short Ratio | 0.08 X | ||||
Earnings Per Share | (0.06) X | ||||
Beta | 0.14 | ||||
Market Capitalization | 31.1 M | ||||
Total Asset | 52.28 M | ||||
Retained Earnings | (16.99 M) | ||||
Working Capital | 44.85 M | ||||
Current Asset | 1.88 M | ||||
Current Liabilities | 569 K | ||||
Annual Yield | 0.08 % | ||||
Five Year Return | 3.84 % | ||||
Net Asset | 52.28 M | ||||
Last Dividend Paid | 0.1 |
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.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.