Computer Modelling Group Stock Last Dividend Paid
| CMDXF Stock | USD 7.59 0.02 0.26% |
Computer Modelling Group fundamentals help investors to digest information that contributes to Computer Modelling's financial success or failures. It also enables traders to predict the movement of Computer Pink Sheet. The fundamental analysis module provides a way to measure Computer Modelling'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 Computer Modelling pink sheet.
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Computer Modelling Group Company Last Dividend Paid Analysis
Computer Modelling's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
More About Last Dividend Paid | All Equity Analysis
Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Current Computer Modelling Last Dividend Paid | 0.2 |
Most of Computer Modelling's fundamental indicators, such as Last Dividend Paid, 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, Computer Modelling Group is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
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Based on the recorded statements, Computer Modelling Group has a Last Dividend Paid of 0.2. This is much higher than that of the Energy Equipment & Services sector and significantly higher than that of the Energy industry. The last dividend paid for all United States stocks is notably lower than that of the firm.
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Computer Fundamentals
| Return On Equity | 0.41 | |||
| Return On Asset | 0.14 | |||
| Profit Margin | 0.27 % | |||
| Operating Margin | 0.37 % | |||
| Current Valuation | 329 M | |||
| Shares Outstanding | 80.51 M | |||
| Shares Owned By Insiders | 1.95 % | |||
| Shares Owned By Institutions | 50.64 % | |||
| Price To Earning | 17.17 X | |||
| Price To Book | 9.77 X | |||
| Price To Sales | 5.02 X | |||
| Revenue | 66.2 M | |||
| Gross Profit | 50.21 M | |||
| EBITDA | 30.22 M | |||
| Net Income | 18.41 M | |||
| Cash And Equivalents | 55.08 M | |||
| Cash Per Share | 0.69 X | |||
| Total Debt | 39.28 M | |||
| Debt To Equity | 0.84 % | |||
| Current Ratio | 2.25 X | |||
| Book Value Per Share | 0.63 X | |||
| Cash Flow From Operations | 28.71 M | |||
| Earnings Per Share | 0.18 X | |||
| Number Of Employees | 164 | |||
| Beta | 1.32 | |||
| Market Capitalization | 421.39 M | |||
| Total Asset | 125.15 M | |||
| Z Score | 6.0 | |||
| Annual Yield | 0.03 % | |||
| Five Year Return | 5.23 % | |||
| Net Asset | 125.15 M | |||
| Last Dividend Paid | 0.2 |
About Computer Modelling Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Computer Modelling Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Computer Modelling using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Computer Modelling Group 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Computer Modelling in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Computer Modelling's short interest history, or implied volatility extrapolated from Computer Modelling options trading.
Pair Trading with Computer Modelling
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 Computer Modelling 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 Computer Modelling will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Computer Modelling could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Computer Modelling 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 Computer Modelling - 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 Computer Modelling Group to buy it.
The correlation of Computer Modelling 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 Computer Modelling moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Computer Modelling 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 Computer Modelling 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Computer Modelling Group. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in interest. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Complementary Tools for Computer Pink Sheet analysis
When running Computer Modelling's price analysis, check to measure Computer Modelling'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 Computer Modelling is operating at the current time. Most of Computer Modelling's value examination focuses on studying past and present price action to predict the probability of Computer Modelling's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Computer Modelling's price. Additionally, you may evaluate how the addition of Computer Modelling to your portfolios can decrease your overall portfolio volatility.
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