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What Is a Price Target? Definition and Example

How analysts arrive at a price target, what horizon it covers, and how often targets are actually reached.

Published Updated 3 min readHow we research

Key takeaways

  • A price target is the price an analyst expects a stock to reach over a set horizon, most often about 12 months, based on a valuation model.
  • Most targets come from a multiple (expected earnings × a P/E the analyst thinks is fair) or a discounted cash flow (DCF) model.
  • In Exent’s 7-year backtest of 796,173 calls with targets, the average analyst’s targets were reached 53.1% of the time, with a median of 93 days to hit (as of Nov 2, 2026).
  • A target is an estimate with wide error bars, not a forecast you can bank on.

Which stocks do Wall Street’s best‑ranked analysts agree on? See them in Exent Gems →

What is a price target?

A price target is an analyst’s estimate of what a share should be worth at the end of their forecast horizon. It sits next to the rating: a buy with a target well above today’s price, a sell with one below. Horizons differ by firm; J.P. Morgan’s published definitions, for example, use six to twelve months.

How is a price target calculated?

MethodHow it worksWeak spot
MultiplesForecast earnings per share × a target P/E (or EV/EBITDA) based on peers or historyThe “fair” multiple is a judgment call
DCFForecast free cash flows, discount them to today, divide by sharesVery sensitive to growth and discount-rate assumptions
Sum of the partsValue each business line separately and add them upNeeds a fair value for every segment

Example

Illustrative: an analyst forecasts $6.00 of earnings per share next year and thinks 22 times earnings is fair. Target = $6.00 × 22 = $132. If the stock trades at $110, the implied upside is 20%.

Real case: on Sep 30, 2026 the mean target for NVIDIA was $268.22 against a $229.28 share price, about 17% above it. Targets ranged from $140 to $380.

How accurate are price targets?

About half are reached. Exent’s backtest found a 53.1% hit rate for the average analyst. Of the targets that were reached, 22.8% got there within 30 days and 26.3% took more than 180 days. Accuracy differs a lot between analysts, which is why an analyst’s success rate matters more than any single target. Detail in are analyst price targets accurate?

Common mistakes

  • Reading the gap to the target as an expected return.
  • Ignoring stale targets: one set six months ago may not reflect today’s news.
  • Looking only at the average: the range between high and low targets shows how uncertain the view is.

See price targets and analyst accuracy with Exent

  1. Stocks Radar shows price targets on each stock next to the record of the analysts who set them, ranked by past accuracy.
  2. Gems flag stocks where several of the best‑rated analysts agree.

Exent is our product. Educational content, not investment advice.

Frequently asked questions

Usually for the analyst’s stated horizon, most often around 12 months. Analysts revise targets after earnings or major news, so older targets go stale.

The analyst now values the stock higher, often after better results or a higher multiple for peers. It does not always come with a rating change.

It happens after a sharp rally, until the analyst updates the target or the rating. The two are usually brought back in line quickly.

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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.