
8-22 CORPORATE VALUATION – ESTIMATING CORPORATE VALUE
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High P/E
means
investor
optimism
The P/E ratio tells the analyst how much investors are paying for each
dollar of income generated by the firm. High P/E ratios indicate that
investors are very optimistic about the future prospects of the
company. They are willing to pay more for the current earnings of the
firm because they believe that future earnings will be even higher.
Likewise, lower P/E ratios indicate less investor optimism.
P/E ratios are often used to compare companies that are potential
investment opportunities. It is appropriate to compare companies within
the same industry because of their similar structure and operations. For
example, analysts would compare the P/E ratios of Ford Motor
Company and General Motors as part of an analysis. They would not
compare the P/E ratio of Ford with the P/E ratio of IBM.
The problem with using P/E ratios in making investment decisions is
that the analysis is short-sighted. Some investors feel that by choosing
companies with lower P/E ratios, they are getting a bargain.
Let's look at an illustration.
Example
An investor is considering two similar companies. Company A has a
P/E ratio of 8 and Company B has a P/E ratio of 12. The investor
chooses Company A because s/he believes that the price is lower per
dollar of income generated by the company. However, Company B
may still be a better investment because of its future earnings
potential. The P/E ratio is based on the most recent earnings figure –
not the future earnings potential; therefore, it is often considered too
short-sighted to be the only investment criterion.
Many analysts will use the P/E ratio to estimate the price of a
company's stock. They multiply the estimated earnings for the coming
year by the P/E ratio. For example, Company B has a P/E ratio of 12
and expected earnings per share of $3.80. The estimated price of the
stock is $3.80 x 12 = $45.60.
Valuable as
part of
analysis
The use of the P/E ratio is appropriate as part of thorough investment
analysis. In fact, all of these methods have some merit, not as stand-
alone decision-making tools, but as part of a more thorough analysis.