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Does Datalogic S.p.A. (BIT:DAL) Have A Good P/E Ratio?

Simply Wall St

The goal of this article is to teach you how to use price to earnings ratios (P/E ratios). We'll look at Datalogic S.p.A.'s (BIT:DAL) P/E ratio and reflect on what it tells us about the company's share price. Based on the last twelve months, Datalogic's P/E ratio is 11.21. That is equivalent to an earnings yield of about 8.9%.

Check out our latest analysis for Datalogic

How Do You Calculate A P/E Ratio?

The formula for price to earnings is:

Price to Earnings Ratio = Share Price ÷ Earnings per Share (EPS)

Or for Datalogic:

P/E of 11.21 = €11.440 ÷ €1.021 (Based on the year to December 2019.)

(Note: the above calculation results may not be precise due to rounding.)

Is A High Price-to-Earnings Ratio Good?

The higher the P/E ratio, the higher the price tag of a business, relative to its trailing earnings. That isn't necessarily good or bad, but a high P/E implies relatively high expectations of what a company can achieve in the future.

How Does Datalogic's P/E Ratio Compare To Its Peers?

The P/E ratio indicates whether the market has higher or lower expectations of a company. You can see in the image below that the average P/E (11.1) for companies in the electronic industry is roughly the same as Datalogic's P/E.

BIT:DAL Price Estimation Relative to Market May 9th 2020

Datalogic's P/E tells us that market participants think its prospects are roughly in line with its industry. So if Datalogic actually outperforms its peers going forward, that should be a positive for the share price. Further research into factors such as insider buying and selling, could help you form your own view on whether that is likely.

How Growth Rates Impact P/E Ratios

Generally speaking the rate of earnings growth has a profound impact on a company's P/E multiple. When earnings grow, the 'E' increases, over time. Therefore, even if you pay a high multiple of earnings now, that multiple will become lower in the future. A lower P/E should indicate the stock is cheap relative to others -- and that may attract buyers.

Datalogic maintained roughly steady earnings over the last twelve months. But over the longer term (5 years) earnings per share have increased by 14%.

A Limitation: P/E Ratios Ignore Debt and Cash In The Bank

Don't forget that the P/E ratio considers market capitalization. In other words, it does not consider any debt or cash that the company may have on the balance sheet. Theoretically, a business can improve its earnings (and produce a lower P/E in the future) by investing in growth. That means taking on debt (or spending its cash).

Such expenditure might be good or bad, in the long term, but the point here is that the balance sheet is not reflected by this ratio.

Is Debt Impacting Datalogic's P/E?

Datalogic's net debt is 1.2% of its market cap. So it doesn't have as many options as it would with net cash, but its debt would not have much of an impact on its P/E ratio.

The Bottom Line On Datalogic's P/E Ratio

Datalogic trades on a P/E ratio of 11.2, which is below the IT market average of 14.2. The debt levels are not a major concern, but the lack of EPS growth is likely weighing on sentiment.

When the market is wrong about a stock, it gives savvy investors an opportunity. If it is underestimating a company, investors can make money by buying and holding the shares until the market corrects itself. So this free visual report on analyst forecasts could hold the key to an excellent investment decision.

Of course, you might find a fantastic investment by looking at a few good candidates. So take a peek at this free list of companies with modest (or no) debt, trading on a P/E below 20.

If you spot an error that warrants correction, please contact the editor at editorial-team@simplywallst.com. This article by Simply Wall St is general in nature. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. Simply Wall St has no position in the stocks mentioned.

We aim to bring you long-term focused research analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Thank you for reading.