Vectrus, Inc. (VEC) EBIDTA/Enterprise Value of 7.584668 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.
Equity market investors have plenty of information available to them when making stock selections. One of the toughest parts of selecting stocks may be figuring out which data to pay attention to. There are always swirling headlines in today’s financial news media. While some information may be highly important, other information may be much less important. Knowing exactly what to look for when doing stock research may take a lot of time to master. Investors who are able to stay highly focused may find it much easier to spot opportunities in the market. Once the investor knows what to look for, the stock market puzzle may be a bit easier to start piecing together.
Book to Market
Vectrus, Inc. (VEC) has a book to market ratio of 0.545899. 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.
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
Vectrus, Inc. (VEC) has a price to sales ratio of 0.31688.
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
Vectrus, Inc. (VEC) has an Altman Z score of 3.944762. 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.
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 Vectrus, Inc. (VEC). 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 (VEC) is 0.200431.
Investors may be trying to decide which way the stock market will shift over the next couple of quarters. Having a general idea based on research is one thing, but constantly trying to time the market may lead to negative portfolio performance. Of course, overall market downturns can be frustrating to everyone invested in shares. Being able to ride out the day to day volatility and make proper investing decisions based on solid stock examination, may help the investor secure profits down the line. Investors who spend too much time focusing on stocks that have already made a run may find themselves in a sticky situation if they get into the name to late. Just because a certain stock has been going up for a long time, it doesn’t mean that the momentum will be sustained into the future. Taking the time to find quality stocks instead of just looking at the hot stock of the day, may allow investors to keep thriving in the market.