The Drivers Module shows relationships between Macys's most relevant fundamental drivers and provides multiple suggestions of what could possibly affect the performance of Macys over time as well as its relative position and ranking within its peers. Please see also Stocks Correlation
Macys Z Score vs. Price to Sales Fundamental AnalysisMacys is rated below average in price to sales category among related companies. It is rated below average in z score category among related companies totaling about 4.21 of Z Score per Price to Sales. Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
The most important factor to remember is that the price of equity takes a firm's debt into account, whereas the sales does not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.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.