Stocklytics Platform
Asset logo for symbol AMBA
Ambarella
AMBA50
$62.36arrow_drop_down1.40%-$0.88
Asset logo for symbol AMBA
AMBA50

$62.36

arrow_drop_down1.40%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Ambarella (AMBA) Stocklytics Forecast

According to the stock price prediction model for Ambarella Inc (AMBA), the forecast for the stock price in the near future looks promising. The AI-powered machine learning algorithm predicts that the stock price will experience significant growth over the next few years. By 2023, it is estimated that the stock price of Ambarella Inc will reach a new high, making it an attractive investment option.
Various analysts have also provided their price targets for Ambarella Inc, and their forecasts align with the machine learning prediction. These analysts have carefully analyzed the company's financials, market trends, and growth opportunities to determine their price targets. By 2023, Ambarella Inc is expected to achieve a price target that reflects its potential for long-term growth and success.
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Frequently Asked Questions

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What is the analyst price prediction for Ambarella (AMBA) stock?

Analysts have set a target price of $74.37 for Ambarella (AMBA), based on forecasts from 30 analysts. The predicted price range extends from a high of $90 to a low of $50. This represents a potential increase of up to 44.31% and a decrease of -19.83% from the current price of $62.37. These forecasts are as of 2023 Aug 30.
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What are the analyst ratings for Ambarella (AMBA) stock?

The analyst ratings for Ambarella (AMBA) are distributed as follows: 8 analysts recommend buying, 7 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 15 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering Ambarella .
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What is the AI price prediction for Ambarella (AMBA) stock?

At present, there is no AI or machine-learning-based price prediction available for Ambarella (AMBA) 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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