| CMDXF Stock | | | USD 7.40 0.04 0.54% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. 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 closely tied with the direction of predictive economic indicators such as
signals in interest.
Computer Modelling Group Company Z Score Analysis
Computer Modelling's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Current Computer Modelling Z Score | | | | 6.0 |
Most of Computer Modelling's fundamental indicators, such as Z Score, 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.
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
In accordance with the company's disclosures, Computer Modelling Group has a Z Score of 6.0. This is 55.39% lower than that of the Energy Equipment & Services sector and significantly higher than that of the
Energy industry. The z score for all United States stocks is 31.19% higher than that of the company.
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Computer Fundamentals
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.
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Other Information on Investing in Computer Pink Sheet
Computer Modelling financial ratios help investors to determine whether Computer Pink Sheet 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.