Stocklytics Platform
Asset logo for symbol CPRT
Copart
CPRT67
$54.38arrow_drop_down10.23%-$6.20
High Quality
S&P500
Asset logo for symbol CPRT
CPRT67

$54.38

arrow_drop_down10.23%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Copart (CPRT) Stocklytics Forecast

According to analysts, Copart Inc (CPRT) is expected to continue its strong performance in the coming years. The stock has shown positive growth in recent years and is predicted to maintain this momentum. With a solid financial foundation and a robust business model, Copart Inc is well positioned to capitalize on the growing demand for its services.
A key factor driving the positive forecast for Copart Inc is the increasing demand for online auto auction platforms. As more consumers turn to online platforms for purchasing used vehicles, Copart Inc is poised to benefit from this trend. The company's extensive network of auction facilities and its efficient online platform make it an attractive option for buyers and sellers alike.
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Frequently Asked Questions

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What is the analyst price prediction for Copart (CPRT) stock?

Analysts have set a target price of $84.27 for Copart (CPRT), based on forecasts from 15 analysts. The predicted price range extends from a high of $145 to a low of $48. This represents a potential increase of up to 166.62% and a decrease of -11.74% from the current price of $54.38. These forecasts are as of 2019 Sep 06.
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What are the analyst ratings for Copart (CPRT) stock?

The analyst ratings for Copart (CPRT) are distributed as follows: 5 analysts recommend buying, 6 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 11 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Copart .
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What is the AI price prediction for Copart (CPRT) stock?

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