Stocklytics Platform
Asset logo for symbol RCUS
Arcus Biosciences
RCUS56
$13.82arrow_drop_down0.93%-$0.12
Asset logo for symbol RCUS
RCUS56

$13.82

arrow_drop_down0.93%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Arcus Biosciences (RCUS) Stocklytics Forecast

As of the latest stock price prediction for Arcus Biosciences Inc (RCUS), the analysts forecast a positive outlook. In the upcoming years, RCUS stock is expected to show significant growth potential. With advancements in biotechnology and the increasing demand for innovative healthcare solutions, Arcus Biosciences Inc is well-positioned for success.
The stock forecast for Arcus Biosciences Inc suggests a steady upward trend. Market experts predict that RCUS stock will continue to appreciate in value, providing attractive returns for investors. The positive outlook is fueled by the company's promising pipeline of immunotherapy candidates and its strategic collaborations with leading pharmaceutical companies.
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Frequently Asked Questions

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What is the analyst price prediction for Arcus Biosciences (RCUS) stock?

Analysts have set a target price of $40.89 for Arcus Biosciences (RCUS), based on forecasts from 28 analysts. The predicted price range extends from a high of $70 to a low of $23. This represents a potential increase of up to 406.51% and a decrease of 66.43% from the current price of $13.82. These forecasts are as of 2022 Oct 11.
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What are the analyst ratings for Arcus Biosciences (RCUS) stock?

The analyst ratings for Arcus Biosciences (RCUS) are distributed as follows: 10 analysts recommend buying, 3 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 13 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering Arcus Biosciences .
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What is the AI price prediction for Arcus Biosciences (RCUS) stock?

At present, there is no AI or machine-learning-based price prediction available for Arcus Biosciences (RCUS) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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