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Asset logo for symbol TOL
Toll Brothers
TOL71
$104.27arrow_drop_down0.02%-$0.03
Asset logo for symbol TOL
TOL71

$104.27

arrow_drop_down0.02%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Toll Brothers (TOL) Stocklytics Forecast

According to our AI and machine learning models, the stock price of Toll Brothers Inc (TOL) is predicted to experience significant growth in the coming years. The forecasts indicate that TOL stock will steadily increase, reaching new heights by 2023. With a positive outlook, investors may consider TOL as a potential long-term investment.
In terms of price target, analysts have also shown confidence in the future performance of TOL. Based on their assessments, the price target for Toll Brothers Inc stock is expected to rise in the next few years, with a particular focus on achieving higher values by 2023. These projections align with the AI and machine learning predictions, reinforcing the potential growth of TOL.
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Frequently Asked Questions

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What is the analyst price prediction for Toll Brothers (TOL) stock?

Analysts have set a target price of $121.83 for Toll Brothers (TOL), based on forecasts from 29 analysts. The predicted price range extends from a high of $157 to a low of $78. This represents a potential increase of up to 50.56% and a decrease of -25.2% from the current price of $104.28. These forecasts are as of 2023 Dec 07.
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What are the analyst ratings for Toll Brothers (TOL) stock?

The analyst ratings for Toll Brothers (TOL) are distributed as follows: 12 analysts recommend buying, 6 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 19 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering Toll Brothers .
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What is the AI price prediction for Toll Brothers (TOL) stock?

At present, there is no AI or machine-learning-based price prediction available for Toll Brothers (TOL) 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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