| CYB1 Stock | | | 0.01 0.0002 2.94% |
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 Cyber Security 1. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
Cyber Security 1 Company Z Score Analysis
Cyber Security'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 Cyber Security Z Score | | | | 20.2 |
Most of Cyber Security'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, Cyber Security 1 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, Cyber Security 1 has a Z Score of 20.2. This is 50.19% higher than that of the Technology sector and significantly higher than that of the
Software-Infrastructure industry. The z score for all Sweden stocks is 131.65% lower than that of the firm.
| | Instant RatingsDetermine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |
Cyber Fundamentals
About Cyber Security Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Cyber Security 1's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Cyber Security using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Cyber Security 1 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Additional Tools for Cyber Stock Analysis
When running Cyber Security's price analysis, check to
measure Cyber Security'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 Cyber Security is operating at the current time. Most of Cyber Security's value examination focuses on studying past and present price action to
predict the probability of Cyber Security's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cyber Security's price. Additionally, you may evaluate how the addition of Cyber Security to your portfolios can decrease your overall portfolio volatility.