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0.053887 EBITDA to Enterprise Value For Microsoft Corporation ($MSFT) Places Leadership Under Scrutiny - Wagner Review

Microsoft Corporation (MSFT) EBIDTA/Enterprise Value of 18.557254 is placing additional metrics under scrutiny for the shares.  The enterprise-value-to-EBITDA ratio varies by industry. However, the EV/EBITDA for the S&P 500 has typically averaged from 11 to 14 over the last few years. As of June 2018, the average EV/EBITDA for the S&P was 12.98. As a general guideline, an EV/EBITDA value below 10 is commonly interpreted as healthy and above average by analysts and investors.

The ratio of EV/EBITDA is used to compare the entire value of a business with the amount of EBITDA it earns on an annual basis.  This ratio tells investors how many times EBITDA they have to pay, were they to acquire the entire business.

It is no secret that most investors have the best of intentions when diving into the equity markets. Making sound, informed decisions can help the investor make the most progress when dealing with the markets. Often times, investors may think they have everything in order, but they still come out on the losing end. Investors may need to figure out ways to keep emotion out of stock picking. Sometimes trading on emotions can lead to poor results. Making hasty decisions and not paying attention to the correct data can lead to poor performing portfolios in the long-term.

Book to Market

Microsoft Corporation (MSFT) has a book to market ratio of 0.094175. A ratio used to find the value of a company by comparing the book value of a firm to its market value. Book value is calculated by looking at the firm’s historical cost, or accounting value. Market value is determined in the stock market through its market capitalization.

Formula:

Book-to-Market Ratio= Common Shareholders Equity/Market Cap

Most investors are more familiar with P/B or Price-to-book. This is just the inverted value.

Price-to-Book Ratio=Market Cap/Common Shareholders Equity

Price to Sales

In the original edition of ‘What works on Wall Street’, O’Shaughnessy wrote that the single-best value factor was a company’s price-to-sales ratio (P/S). In his latest edition the P/S continues to perform well, but it was unseated by the value composites and EBITDA/EV due to 2 reasons: (1) A broader scope of analysis by using deciles and (2) two very bad years for P/S, e.g. 2007 and 2008.

A stock’s P/S is similar to its P/E ratio, but it measures the price of the company against its annual sales instead of earnings.

It’s calculated as follows:

Price-to-Sales Ratio = Market Cap/Net Sales or Revenues

Microsoft Corporation (MSFT) has a price to sales ratio of 8.242403.

FCF on Debt

Another ratio S&P Analyst Richard Tortoriello recommends to use is ‘Free Cash Flow to debt’. (‘Quantitative Strategies for Achieving Alpha’) This ratio shows how long it would take a company to pay back its debt using its current level of free cash flow. In his study, Tortoriello found that investing in the top 20% companies with the highest FCF/debt ratio generated substantially higher returns compared to the market.

Altman Z Score

Microsoft Corporation (MSFT) has an Altman Z score of 5.139455. The Z-Score for predicting bankruptcy was published in 1968 by Edward I. Altman, who was assistant professor of finance at New York University at that time. It measures the financial health of a company based on a set of income and balance sheet values. The Altman Z-Score predicts the probability that a firm will go bankrupt within 2 years. In its initial test, the Altman Z-Score was found to be 72% accurate in predicting bankruptcy two years before the event. In a series of subsequent tests, the model was found to be approximately 80%–90% accurate in predicting bankruptcy one year before the event

Atman built the model by applying the statistical method of discriminant analysis to a dataset of publicly held manufacturers. Since then he has published new versions based on other datasets for private manufacturing (Z’-Score), non-manufacturing, service companies and companies in emerging markets. (Z”-Score)

Please also note that the original dataset used was quite small and consisted of only 66 firms of which half filed for bankruptcy. All companies were manufacturers and small firms (total assets less than $1m) were removed.

Gross Margin

Robert Novy-Marx, a professor at the university of Rochester, discovered that gross profitability – a quality factor – has as much power predicting stock returns as traditional value metrics. He found that while other quality measures had some predictive power, especially on small caps and in conjunction with value measures, gross profitability generates significant excess returns as a stand alone strategy, especially on large cap stocks.

Market watchers may also be following some quality ratios for Microsoft Corporation (MSFT). Robert Novy-Marx, a professor at the university of Rochester, discovered that gross profitability – a quality factor – has as much power predicting stock returns as traditional value metrics. He found that while other quality measures had some predictive power, especially on small caps and in conjunction with value measures, gross profitability generates significant excess returns as a stand alone strategy, especially on large cap stocks.The Gross profitability for (MSFT) is 0.303748.

Investors looking to chalk up healthy returns in the stock market may need to pay attention to avoid common pitfalls. When the good times are rolling, investors may be highly tempted to move a lot of money into certain stocks that have been churning out returns. One problem with this approach is that a stock that has been hot for a few months might not be hot over the next three months. It is always important to remember that past performance does not guarantee future results. Getting into a stock too late may leave the average investor pounding the table as a former winner turns into a current loser.

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