Stocklytics Platform
Asset logo for symbol HOG
Harley-Davidson
HOG58
$34.62arrow_drop_down3.59%-$1.29
Asset logo for symbol HOG
HOG58

$34.62

arrow_drop_down3.59%

AI Deep-Learning Forecast (HOG)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Harley-Davidson (HOG) Stocklytics Forecast

According to analysts, the stock price of Harley-Davidson Inc (HOG) is predicted to experience moderate growth in the coming years. With its iconic brand and strong position in the motorcycle industry, Harley-Davidson has the potential for long-term success. However, there are several factors that could impact the company's stock performance.

One key factor to consider is the overall economic climate. If the economy remains stable and consumer confidence remains high, Harley-Davidson could see increased demand for its motorcycles. On the other hand, a downturn in the economy could lead to decreased sales and a decline in the stock price.

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Frequently Asked Questions

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What is the analyst price prediction for Harley-Davidson (HOG) stock?

Analysts have set a target price of $44.68 for Harley-Davidson (HOG), based on forecasts from 28 analysts. The predicted price range extends from a high of $55 to a low of $33. This represents a potential increase of up to 58.87% and a decrease of -4.68% from the current price of $34.62. These forecasts are as of 2023 Feb 06.

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What are the analyst ratings for Harley-Davidson (HOG) stock?

The analyst ratings for Harley-Davidson (HOG) are distributed as follows: 5 analysts recommend buying, 16 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 22 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Harley-Davidson .

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What is the AI price prediction for Harley-Davidson (HOG) stock?

At present, there is no AI or machine-learning-based price prediction available for Harley-Davidson (HOG) 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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