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
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GARO AB Z Score Analysis
GARO AB's ZScore is a simple linear, multifactor 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 GARO AB Z Score     15.0 
Most of GARO AB'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, GARO AB GARO 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 ) 

 Second Factor  =  1.4 * (  Retained Earnings  /  Total Assets ) 

 Thrid Factor  =  3.3 * (  EBITAD  /  Total Assets ) 

 Fouth Factor  =  0.6 * (  Market Value of Equity  /  Total Liabilities ) 

 Fifth Factor  =  0.99 * (  Revenue  /  Total Assets ) 

To calculate ZScore one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. ZScore 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 ZScores 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 socalled 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competitionIn accordance with the company's disclosures, GARO AB GARO has a Z Score of 15.0. This is much higher than that of the sector and significantly higher than that of the Z Score industry. The z score for all United Kingdom stocks is notably lower than that of the firm.
GARO AB Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses GARO AB's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of GARO AB could also be used in its relative valuation, which is a method of valuing GARO AB by comparing valuation metrics of similar companies.
GARO AB is currently under evaluation in z score category among related companies.
GARO AB Fundamentals
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Other Tools for GARO AB Stock
When running GARO AB GARO price analysis, check to
measure GARO AB'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 GARO AB is operating at the current time. Most of GARO AB's value examination focuses on studying past and present price action to
predict the probability of GARO AB's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move GARO AB's price. Additionally, you may evaluate how the addition of GARO AB to your portfolios can decrease your overall portfolio volatility.
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