Computer Net Income from 2010 to 2026

CMG Stock  CAD 4.92  0.02  0.40%   
Computer Modelling Net Income yearly trend continues to be very stable with very little volatility. Net Income is likely to drop to about 15.8 M. During the period from 2010 to 2026, Computer Modelling Net Income quarterly data regression pattern had range of 34.7 M and standard deviation of  7,274,410. View All Fundamentals
 
Net Income  
First Reported
1997-06-30
Previous Quarter
3.3 M
Current Value
2.7 M
Quarterly Volatility
2.8 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Computer Modelling financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Computer Modelling's main balance sheet or income statement drivers, such as Depreciation And Amortization of 10.2 M, Interest Expense of 2.5 M or Selling General Administrative of 26.1 M, as well as many indicators such as Price To Sales Ratio of 4.74, Dividend Yield of 0.0269 or PTB Ratio of 6.59. Computer financial statements analysis is a perfect complement when working with Computer Modelling Valuation or Volatility modules.
  
This module can also supplement various Computer Modelling Technical models . Check out the analysis of Computer Modelling Correlation against competitors.

Latest Computer Modelling's Net Income Growth Pattern

Below is the plot of the Net Income of Computer Modelling Group over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Computer Modelling financial statement analysis. It represents the amount of money remaining after all of Computer Modelling Group operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Computer Modelling's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Computer Modelling's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 22.44 M10 Years Trend
Pretty Stable
   Net Income   
       Timeline  

Computer Net Income Regression Statistics

Arithmetic Mean21,831,059
Coefficient Of Variation33.32
Mean Deviation4,475,164
Median23,391,000
Standard Deviation7,274,410
Sample Variance52.9T
Range34.7M
R-Value0.11
Mean Square Error55.8T
R-Squared0.01
Significance0.69
Slope151,317
Total Sum of Squares846.7T

Computer Net Income History

202615.8 M
202525.8 M
202422.4 M
202326.3 M
202219.8 M
202118.4 M
202020.2 M

About Computer Modelling Financial Statements

Computer Modelling investors utilize fundamental indicators, such as Net Income, to predict how Computer Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Net Income25.8 M15.8 M
Net Income From Continuing Ops20.2 M18.9 M
Net Income Applicable To Common Shares20.2 M18.9 M
Net Income Per Share 0.24  0.15 
Net Income Per E B T 0.78  0.88 

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.

Moving together with Computer Stock

  0.68PNC-B Postmedia Network CanadaPairCorr
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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Computer Stock

Computer Modelling financial ratios help investors to determine whether Computer Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Computer with respect to the benefits of owning Computer Modelling security.