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Asset logo for symbol LKQ
LKQ
LKQ60
$39.98arrow_drop_down1.84%-$0.75
S&P500
Asset logo for symbol LKQ
LKQ60

$39.98

arrow_drop_down1.84%

AI Deep-Learning Forecast (LKQ)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

LKQ (LKQ) Stocklytics Forecast

LKQ Corp (LKQ) is a leading provider of alternative and specialty parts for automobiles, with a strong focus on the aftermarket. The company has a solid track record of growth and innovation, making it an attractive investment opportunity. In terms of stock price prediction, LKQ Corp is expected to continue its upward trajectory in the coming years.
According to AI and machine learning algorithms, the forecast for LKQ Corp stock price in 2023 is positive. These advanced technologies analyze historical data, market trends, and other factors to generate accurate predictions. Based on their analysis, LKQ Corp is likely to experience steady growth, leading to an increase in stock price. The forecasted price target for LKQ Corp in 2023 is also expected to be favorable.
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Frequently Asked Questions

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What is the analyst price prediction for LKQ (LKQ) stock?

Analysts have set a target price of $57.5 for LKQ (LKQ), based on forecasts from 18 analysts. The predicted price range extends from a high of $66 to a low of $30. This represents a potential increase of up to 65.08% and a decrease of -24.96% from the current price of $39.98. These forecasts are as of 2018 Apr 17.
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What are the analyst ratings for LKQ (LKQ) stock?

The analyst ratings for LKQ (LKQ) are distributed as follows: 13 analysts recommend buying, 1 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 14 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering LKQ.
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What is the AI price prediction for LKQ (LKQ) stock?

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