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Scotts Miracle-Gro
Asset logo for symbol SMG



AI Deep-Learning Forecast (SMG)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Scotts Miracle-Gro (SMG) Stocklytics Forecast

According to market analysts, the stock price of Scotts Miracle-Gro Co-The (SMG) is expected to experience significant growth in the coming years. The company, known for its leading position in the lawn and garden care industry, has a strong track record of success and a promising future ahead. With a focus on innovation and expanding its product portfolio, SMG is well-positioned to capitalize on the growing demand for gardening and home improvement products.

Based on current market trends and historical performance, SMG is projected to reach a price target of $150 by the end of 2023. This forecast is supported by positive analyst ratings and a bullish outlook for the company. With its strong financials and strategic initiatives, Scotts Miracle-Gro Co-The is considered a good buy for investors seeking long-term growth potential.

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Frequently Asked Questions

What is the analyst price prediction for Scotts Miracle-Gro (SMG) stock?

Analysts have set a target price of $74.29 for Scotts Miracle-Gro (SMG), based on forecasts from 24 analysts. The predicted price range extends from a high of $105 to a low of $45. This represents a potential increase of up to 56.27% and a decrease of -33.03% from the current price of $67.19. These forecasts are as of 2022 Aug 04.

What are the analyst ratings for Scotts Miracle-Gro (SMG) stock?

The analyst ratings for Scotts Miracle-Gro (SMG) are distributed as follows: 4 analysts recommend buying, 5 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 9 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Scotts Miracle-Gro.

What is the AI price prediction for Scotts Miracle-Gro (SMG) stock?

At present, there is no AI or machine-learning-based price prediction available for Scotts Miracle-Gro (SMG) 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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