| SZCRF Stock | | | USD 23.40 0.00 0.00% |
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
World Market Map to better understand how to build diversified portfolios, which includes a position in SCOR SE. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in metropolitan statistical area.
SCOR SE Company Z Score Analysis
SCOR SE'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 SCOR SE Z Score | | | | 0.6 |
Most of SCOR SE'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, SCOR SE 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.
Based on the company's disclosures, SCOR SE has a Z Score of 0.6. This is 75.1% lower than that of the Financial Services sector and significantly higher than that of the
Insurance—Reinsurance industry. The z score for all United States stocks is 93.12% higher than that of the company.
SCOR Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses SCOR SE's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of SCOR SE could also be used in its relative valuation, which is a method of valuing SCOR SE by comparing valuation metrics of similar companies.
SCOR SE is currently under evaluation in z score category among its peers.
SCOR Fundamentals
About SCOR SE Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze SCOR SE's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SCOR SE using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of SCOR SE 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.
Currently Active Assets on Macroaxis
Other Information on Investing in SCOR Pink Sheet
SCOR SE financial ratios help investors to determine whether SCOR 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 SCOR with respect to the benefits of owning SCOR SE security.