Glossary

Consensus rating

A consensus rating aggregates every covering analyst's individual recommendation, Buy, Hold, or Sell, and their equivalents, into a single composite view of a stock. It's usually shown either as a distribution, how many analysts fall into each bucket, or as a single averaged score, giving a snapshot of how the sell side collectively views the stock without requiring a reader to check each analyst's rating individually.

Last updated 2 Aug 2026

What it measures

Consensus rating pools individual analyst recommendations across a stock's full coverage list. Firms use varying label sets, Buy/Hold/Sell, Overweight/Neutral/Underweight, Outperform/Market Perform/Underperform, so most consensus tools normalize those onto a common scale before aggregating, typically a 1-to-5 numeric score where lower means more bullish. The resulting distribution shows how many of, say, twenty covering analysts rate the stock a Buy versus a Hold versus a Sell, alongside or instead of a single blended number.

How to read it

A consensus rating skewed heavily toward Buy with very few Hold or Sell ratings reflects broad conviction across the sell side. A consensus that's evenly split, or clustered mostly in Hold, reflects genuine disagreement or a stock that's simply reached most analysts' fair value estimate already. Watch the trend over time more than the snapshot. A rating drifting from mostly Hold toward more Buy ratings over several months is a different and arguably more useful signal than the same Buy-heavy consensus holding steady, since the drift shows sentiment actually shifting.

What it does not tell you

Sell-side analysts as a group lean structurally bullish. Buy ratings significantly outnumber Sell ratings across the market as a whole, partly because maintaining relationships with the companies they cover creates a real incentive to avoid harsh Sell calls, so a consensus rating should be read against that baseline skew rather than as a neutral vote. Consensus also updates slowly and reflects analysts' collective institutional view, which can lag retail sentiment or the market's own price action by a wide margin, especially around a surprising news event. And a single blended score compresses a distribution that might actually be bimodal, a stock split between analysts who love it and analysts who hate it can land on the exact same average score as one where everyone agrees it's mediocre.

Worked example

A stock has a consensus rating built from eighteen covering analysts: eleven Buy, six Hold, one Sell. On a normalized 1-to-5 scale that works out to roughly 1.7, solidly in Buy territory. Six months later, after a disappointing product launch, the same coverage list shifts to seven Buy, nine Hold, two Sell, moving the normalized score to around 2.3, still closer to Buy than Sell but clearly trending toward more caution. That directional shift, from 1.7 to 2.3, tells a reader more about how sentiment is actually moving than either snapshot would on its own. A separate stock might show the identical 2.3 score built from nine Buy and nine Sell ratings with zero Hold, a genuinely split coverage list that a single number completely hides.

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