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Darden Restaurants Inc

67 / 100

Financial Forecast

AI Price Prediction

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Analyst Ratings

Analyst ratings for this stock instrument are based on analysts' assumptions and should not be solely relied upon for financial decisions.

Darden Restaurants Inc (DRI) Stocklytics Forecast

Darden Restaurants Inc (DRI) is a leading restaurant company that operates popular brands like Olive Garden, LongHorn Steakhouse, and Cheddar's Scratch Kitchen. As investors look for future growth opportunities, they are eager to know about the stock price prediction for DRI. While it is impossible to predict the future with certainty, there are several factors that can influence the stock's performance.

One way to estimate the future price of DRI stock is by analyzing historical data and trends. Analysts often use various forecasting techniques, including artificial intelligence and machine learning algorithms, to generate predictions. These models consider factors such as the company's financial performance, industry trends, macroeconomic indicators, and market sentiment. By analyzing these data points, analysts can generate a stock price forecast for DRI.

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Frequently Asked Questions

What is the analyst price prediction for Darden Restaurants Inc (DRI) stock?

Analysts have set a target price of $173 for Darden Restaurants Inc (DRI), based on forecasts from 30 analysts. The predicted price range extends from a high of $190 to a low of $155. This represents a potential increase of up to 9.16% and a decrease of -10.95% from the current price of $174.05. These forecasts are as of 2023 Sep 13.

What are the analyst ratings for Darden Restaurants Inc (DRI) stock?

Currently, there are no analyst ratings available for Darden Restaurants Inc (DRI), possibly due to insufficient coverage or recent updates.

What is the AI price prediction for Darden Restaurants Inc (DRI) stock?

At present, there is no AI or machine-learning-based price prediction available for Darden Restaurants Inc (DRI) 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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