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Which stocks are cheap against their own history?

Some companies always trade at high multiples and some never do, so comparing a P/E with the market’s can mislead. Comparing a stock with its own past shows whether investors are paying more or less than usual for the same business.

Updated Oct 9, 2026

56
vs own past

Fair against its own past

The typical S&P 500 stock is cheaper against its earnings than in 56% of its own past ten years. 123 stocks are cheaper than they have been 80% of the time; CHTR and APP lead among those whose earnings are still growing.

Median P/E 22.2x123 at the cheap end of their range401 companies scored
Market cheapness against the last ten years

Over time

Select the market or any stock below. Score is cheapness against the stock’s own past; Value is the P/E itself.

Median P/E of today’s S&P 500 companies
22.2x trailing earnings
15x20x25x30xJan 17Jan 18Jan 19Jan 20Jan 21Jan 22Jan 23Jan 24Jan 25Jan 26

The 60 cheapest against their own past

Ranked by how cheap today’s P/E is within the stock’s own range since 2016. Earnings growth helps separate bargains from businesses in trouble. Select a column to sort.

Stockvs own pastP/E now10-yr medianEarnings, 1YSectorP/E, 3 years

How to read this page

How it’s measured. Trailing twelve-month earnings per share, as reported, against the daily share price since 2016. A score of 100 means the stock is the cheapest it has been in that time. Stocks whose earnings more than doubled in a year are left out, since that is usually a one-off gain, as is real estate, where earnings understate cash generation.

Sources. Daily prices and company financial statements from Financial Modeling Prep.

Earnings are as reported, including one-off items, so a single large charge or gain can move the P/E. Stocks without positive earnings today are left out.

A stock is often cheap against its past because its earnings are expected to fall or the business has changed. Cheapness describes the price, not what comes next.

This page is information, not investment advice. About our data and methods ›

Forward P/E on Stox ›

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