Daily Press (Sunday)

The PSR: A tool for stock valuation

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The price-to-earnings (P/E) ratio is a popular tool that many investors use to get a rough idea of a stock’s valuation — to see whether it looks overvalued, undervalue­d, or fairly valued.

If a company has no earnings, though, a P/E ratio can’t be calculated. Instead, the priceto-sales (P/S) ratio, sometimes called the PSR, can be used, as it focuses on sales (also known as revenue). Even with a profitable company, you might check the PSR.

Calculatin­g a company’s PSR is fairly easy: You simply take its market capitaliza­tion and divide it by the company’s sales over the past 12 months. The “market cap” reflects a company’s current market valuation — it’s the current price per share multiplied by the total number of shares outstandin­g. You can find market caps listed for companies on major financial websites such as Fool.com and Finance.Yahoo. com. (Finance.Yahoo.com presents each company’s P/S ratio, too, under its “Statistics” tab.)

Here’s how you would crunch the PSR yourself: Let’s say the Free-Range Onion Company (Ticker: BULBZ) has 20 million shares outstandin­g, at $25 a share, giving it a market capitaliza­tion of $500 million. If it had $1 billion in sales over the last year, its PSR would be $500 million divided by $1 billion, which equals 0.5. If its peers have PSRs of 1.0 or higher, Free-Range Onion’s PSR of 0.5 suggests that it’s more attractive­ly valued and likely to have a substantia­l upside relative to its rivals — if it executes its strategies successful­ly.

It’s not uncommon for companies to be unprofitab­le in some years, and you needn’t avoid such enterprise­s entirely. By checking the PSR, you can see how much you’d be paying for a dollar of sales instead of a dollar of earnings. Compare the PSR with sales growth, too: A high PSR isn’t necessaril­y bad if sales are growing rapidly.

Understand, though, that you should never rely on just the PSR — or any other single measure — when making an investment decision. Assess a wide variety of measures.

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