The Drivers Module shows relationships between Digirad's most relevant fundamental drivers and provides multiple suggestions of what could possibly affect the performance of Digirad Corporation over time as well as its relative position and ranking within its peers. Additionally see Investing Opportunities
Digirad Z Score vs. EBITDA Fundamental AnalysisDigirad Corporation is rated # 2 in ebitda category among related companies. It is rated # 5 in z score category among related companies . The ratio of EBITDA to Z Score for Digirad Corporation is about 10,775,000 EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.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 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 late 1960s at New York University..
To calculate Z-Score 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. Z-Score can be used to compare the odds of bankruptcy of companies in 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 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 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.