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Screener

Stock screener

Filter companies by dividend, valuation, profitability, debt and growth. Describe what you are looking for in plain words, start from a strategy or from a company you already know. The numbers come from the same calculations as our analysis pages.

Start from a strategy

The number shows how many companies pass right now
4,408companies
Largest companies in the screener
CompanyPrice1YMarket capP/EDiv. yield

The screener shows data, not investment advice. Analyst targets appear only where the data is reliable, using the same rules as our analysis pages.

How to read the results

Three metrics that show up in almost every screener, and what they actually tell you.

P/E: what you pay for earnings

How many years of current annual earnings the share price buys. A P/E of 15 means 15 years of today’s profit. It only makes sense within a sector: banks usually trade on low P/Es, tech on high ones.

Dividend yield

A year of dividends divided by the share price. A very high yield sometimes comes from a falling price, which is why the share of earnings paid out matters too.

ROE: what the equity earns

Annual profit divided by shareholders’ equity. Above 15% is considered good, but a high ROE built on heavy debt is more fragile, so check Debt/EBITDA as well.

How we calculate each metric

How to use the screener

What is a stock screener?

A stock screener is a tool that filters listed companies by financial criteria such as dividend yield, P/E, ROE or debt. Instead of reviewing thousands of companies one by one, you set the conditions and see only the companies that meet them.

How do I find high-dividend stocks?

Start from the “High, sustainable yield” strategy or set the “Dividend yield” filter to 4% or more. A high yield is sustainable when the company pays it out of a reasonable share of its profit, which is why the “Payout ratio” filter helps.

What does “vs. sector” mean?

It shows where a company ranks among companies in the same sector, from 0 to 100, where 100 is best. A P/E of 20 can be cheap for a tech company and expensive for a bank; comparing with the sector puts the number in context.

Where does the data come from?

From the same calculations as each company's analysis page: data aggregated from multiple institutional sources, updated daily after the market close.