Stocklytics Platform
Asset logo for symbol TKR
Timken
TKR61
$84.43arrow_drop_down1.32%-$1.12
Asset logo for symbol TKR
TKR61

$84.43

arrow_drop_down1.32%

AI Deep-Learning Forecast (TKR)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Timken (TKR) Stocklytics Forecast

The stock price of Timken Co-The (TKR) has been subject to speculation and analysis in recent times. Many investors and analysts are interested in predicting the future price of TKR stock. While it is challenging to precisely forecast stock prices, various approaches, such as AI and machine learning, have been utilized to gain insights into potential price movements.
When considering the stock price forecast for TKR, it is important to understand that these predictions involve inherent uncertainties. Financial analysts and experts have provided their opinions and price targets for TKR. According to these analysts, the future stock price for TKR is expected to increase steadily. These predictions often take into account factors such as historical price trends, market conditions, and company fundamentals.
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Frequently Asked Questions

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What is the analyst price prediction for Timken (TKR) stock?

Analysts have set a target price of $87.27 for Timken (TKR), based on forecasts from 30 analysts. The predicted price range extends from a high of $105 to a low of $69. This represents a potential increase of up to 24.36% and a decrease of -18.28% from the current price of $84.43. These forecasts are as of 2022 Oct 13.
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What are the analyst ratings for Timken (TKR) stock?

The analyst ratings for Timken (TKR) are distributed as follows: 3 analysts recommend buying, 4 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 8 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Timken.
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What is the AI price prediction for Timken (TKR) stock?

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