Computer Modelling Group Stock Net Income
| CMG Stock | CAD 4.01 0.01 0.25% |
As of the 20th of February, Computer Modelling shows the Risk Adjusted Performance of (0.06), mean deviation of 1.76, and Standard Deviation of 2.97. Computer Modelling technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Computer Modelling Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 2.6959 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 25.8 M | 15.8 M | |
| Net Income From Continuing Ops | 20.2 M | 18.9 M | |
| Net Income Applicable To Common Shares | 20.2 M | 18.9 M | |
| Net Income Per Share | 0.24 | 0.15 | |
| Net Income Per E B T | 0.78 | 0.88 |
Computer | Net Income |
Evaluating Computer Modelling's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Computer Modelling Group's fundamental strength.
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.
| View | Last Reported 22.44 M | 10 Years Trend |
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Net Income |
| Timeline |
Computer Net Income Regression Statistics
| Arithmetic Mean | 21,831,059 | |
| Coefficient Of Variation | 33.32 | |
| Mean Deviation | 4,475,164 | |
| Median | 23,391,000 | |
| Standard Deviation | 7,274,410 | |
| Sample Variance | 52.9T | |
| Range | 34.7M | |
| R-Value | 0.11 | |
| Mean Square Error | 55.8T | |
| R-Squared | 0.01 | |
| Significance | 0.69 | |
| Slope | 151,317 | |
| Total Sum of Squares | 846.7T |
Computer Net Income History
Computer Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Computer Modelling is extremely important. It helps to project a fair market value of Computer Stock properly, considering its historical fundamentals such as Net Income. Since Computer Modelling'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 Computer Modelling'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 Computer Modelling's interrelated accounts and indicators.
Click cells to compare fundamentals
Computer Modelling 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Computer Modelling's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Computer Modelling.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in Computer Modelling on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding Computer Modelling Group or generate 0.0% return on investment in Computer Modelling over 90 days. Computer Modelling is related to or competes with TECSYS, Real Matters, Dye Durham, Volatus Aerospace, Blackline Safety, Tucows, and Coveo Solutions. Computer Modelling Group Ltd., a computer software technology company, develops and licenses reservoir simulation softwa... More
Computer Modelling Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Computer Modelling's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Computer Modelling Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 22.76 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.11 |
Computer Modelling Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Computer Modelling's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Computer Modelling's standard deviation. In reality, there are many statistical measures that can use Computer Modelling historical prices to predict the future Computer Modelling's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.48) |
Computer Modelling February 20, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.47) | |||
| Mean Deviation | 1.76 | |||
| Coefficient Of Variation | (1,158) | |||
| Standard Deviation | 2.97 | |||
| Variance | 8.84 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.48) | |||
| Maximum Drawdown | 22.76 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.11 | |||
| Skewness | (3.65) | |||
| Kurtosis | 21.18 |
Computer Modelling Backtested Returns
Computer Modelling secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11 % return per unit of risk over the last 3 months. Computer Modelling Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Computer Modelling's Risk Adjusted Performance of (0.06), standard deviation of 2.97, and Mean Deviation of 1.76 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.56, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Computer Modelling's returns are expected to increase less than the market. However, during the bear market, the loss of holding Computer Modelling is expected to be smaller as well. At this point, Computer Modelling has a negative expected return of -0.34%. Please make sure to confirm Computer Modelling's treynor ratio, accumulation distribution, period momentum indicator, as well as the relationship between the potential upside and day median price , to decide if Computer Modelling performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
Computer Modelling Group has poor reverse predictability. Overlapping area represents the amount of predictability between Computer Modelling time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Computer Modelling price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Computer Modelling price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Computer Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Computer Modelling Group reported net income of 22.44 M. This is 95.84% lower than that of the Software sector and significantly higher than that of the Information Technology industry. The net income for all Canada stocks is 96.07% higher than that of the company.
Computer Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Computer Modelling's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Computer Modelling could also be used in its relative valuation, which is a method of valuing Computer Modelling by comparing valuation metrics of similar companies.Computer Modelling is currently under evaluation in net income category among its peers.
Computer Fundamentals
| Return On Equity | 0.2 | ||||
| Return On Asset | 0.0862 | ||||
| Profit Margin | 0.14 % | ||||
| Operating Margin | 0.22 % | ||||
| Current Valuation | 340.23 M | ||||
| Shares Outstanding | 80.15 M | ||||
| Shares Owned By Insiders | 1.80 % | ||||
| Shares Owned By Institutions | 57.26 % | ||||
| Number Of Shares Shorted | 1.16 M | ||||
| Price To Earning | 17.37 X | ||||
| Price To Book | 3.72 X | ||||
| Price To Sales | 2.54 X | ||||
| Revenue | 129.45 M | ||||
| Gross Profit | 101.98 M | ||||
| EBITDA | 43.24 M | ||||
| Net Income | 22.44 M | ||||
| Cash And Equivalents | 51.2 M | ||||
| Cash Per Share | 0.64 X | ||||
| Total Debt | 38.58 M | ||||
| Debt To Equity | 1.11 % | ||||
| Current Ratio | 1.80 X | ||||
| Book Value Per Share | 1.07 X | ||||
| Cash Flow From Operations | 29.92 M | ||||
| Short Ratio | 7.03 X | ||||
| Earnings Per Share | 0.20 X | ||||
| Price To Earnings To Growth | (12.00) X | ||||
| Target Price | 5.89 | ||||
| Number Of Employees | 315 | ||||
| Beta | -0.033 | ||||
| Market Capitalization | 320.6 M | ||||
| Total Asset | 204.76 M | ||||
| Retained Earnings | (28.73 M) | ||||
| Working Capital | 21.88 M | ||||
| Current Asset | 98.17 M | ||||
| Current Liabilities | 41.96 M | ||||
| Annual Yield | 0.01 % | ||||
| Five Year Return | 5.09 % | ||||
| Net Asset | 204.76 M | ||||
| Last Dividend Paid | 0.12 |
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.
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 against Computer Stock
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| 0.6 | BCE | BCE Inc | PairCorr |
| 0.54 | TMG | Thermal Energy Inter | PairCorr |
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.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.