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Stocklytics Platform
Asset logo  MOS
Mosaic
MOS
72 / 100
S&P500
$30.78arrow_drop_up0.55%$0.17

Financial Forecast

AI Price Prediction

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Analyst Ratings

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Analyst ratings for this stock instrument are based on analysts' assumptions and should not be solely relied upon for financial decisions.

Mosaic (MOS) Stocklytics Forecast

Based on the analysis of Mosaic Co-The (MOS) stock, there is a positive outlook for its future price. MOS stock is predicted to experience steady growth in the coming years. Analysts forecast that the stock price will continue to rise, making it a good investment option. Machine learning algorithms and AI-based models also support this prediction. These advanced technologies have shown a high degree of accuracy in forecasting stock prices, making them reliable tools for investors.

For the year 2023, the stock price forecast for Mosaic Co-The (MOS) looks promising. Analysts expect MOS stock to reach new highs, with a positive price target. This indicates the confidence in the company's performance and growth prospects. MOS stock is projected to generate significant returns for investors in the long run. Based on the analysts' price targets, MOS appears to be a good buy and a potential candidate for investment portfolios.

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Frequently Asked Questions

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What is the analyst price prediction for Mosaic (MOS) stock?

Analysts have set a target price of $39.12 for Mosaic (MOS), based on forecasts from 16 analysts. The predicted price range extends from a high of $50 to a low of $32. This represents a potential increase of up to 63.91% and a decrease of 4.9% from the current price of $30.5. These forecasts are as of 2023 May 11.

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What are the analyst ratings for Mosaic (MOS) stock?

Currently, there are no analyst ratings available for Mosaic (MOS), possibly due to insufficient coverage or recent updates.

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What is the AI price prediction for Mosaic (MOS) stock?

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