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Asset logo for symbol AGYS
Agilysys
AGYS73
$74.35arrow_drop_up3.91%$2.79
Asset logo for symbol AGYS
AGYS73

$74.35

arrow_drop_up3.91%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Agilysys (AGYS) Stocklytics Forecast

Agilysys Inc (AGYS) is a technology company that provides innovative software solutions for the hospitality industry. With a strong focus on customer satisfaction and efficiency, the company has established itself as a leader in the market. The stock price of AGYS has been steadily increasing over the years, reflecting the company's growth and potential. Based on historical data and market trends, it is predicted that AGYS stock will continue to rise in the coming years.
The forecast for AGYS stock in 2023 is optimistic, with analysts predicting a significant increase in its price. The company has been consistently delivering strong financial results and expanding its customer base, which bodes well for its future growth. Additionally, AGYS has a solid track record of exceeding market expectations, which further supports the positive outlook for the stock. The machine learning algorithm also predicts a bullish trend for AGYS, based on its analysis of historical data and market trends.
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Frequently Asked Questions

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What is the analyst price prediction for Agilysys (AGYS) stock?

Analysts have set a target price of $77.89 for Agilysys (AGYS), based on forecasts from 18 analysts. The predicted price range extends from a high of $125 to a low of $22. This represents a potential increase of up to 68.12% and a decrease of -70.41% from the current price of $74.35. These forecasts are as of 2019 Mar 29.
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What are the analyst ratings for Agilysys (AGYS) stock?

Currently, there are no analyst ratings available for Agilysys (AGYS), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Agilysys (AGYS) stock?

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