Stocklytics Platform
Asset logo for symbol DLTR
Dollar Tree
DLTR45
$66.60arrow_drop_up3.03%$1.95
S&P500
Asset logo for symbol DLTR
DLTR45

$66.60

arrow_drop_up3.03%

AI Deep-Learning Forecast (DLTR)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Dollar Tree (DLTR) Stocklytics Forecast

The stock price of Dollar Tree Inc (DLTR) has been the subject of much speculation and prediction in recent times. Many investors and analysts are trying to determine what the future holds for this retail company. DLTR has seen significant growth in recent years, with its stock price increasing steadily. However, predicting the future stock price of DLTR is a difficult task that requires careful analysis and consideration of various factors.
One factor to consider when predicting DLTR's stock price is the company's financial performance. Dollar Tree Inc has been performing well financially, with strong revenue and earnings growth. This is a positive sign for investors, as it suggests that the company is generating strong cash flows and profits. However, it is important to note that past performance does not guarantee future results, and there are always risks associated with investing in the stock market.
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Frequently Asked Questions

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What is the analyst price prediction for Dollar Tree (DLTR) stock?

Analysts have set a target price of $152.1 for Dollar Tree (DLTR), based on forecasts from 29 analysts. The predicted price range extends from a high of $180 to a low of $120. This represents a potential increase of up to 170.27% and a decrease of 80.18% from the current price of $66.6. These forecasts are as of 2023 Dec 21.
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What are the analyst ratings for Dollar Tree (DLTR) stock?

Currently, there are no analyst ratings available for Dollar Tree (DLTR), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Dollar Tree (DLTR) stock?

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