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Asset logo for symbol STLA
Stellantis N.V.
STLA
64
$20.65arrow_drop_down0.21%-$0.04

AI Deep-Learning Forecast (STLA)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Stellantis N.V. (STLA) Stocklytics Forecast

Stellantis N.V., the multinational automotive company formed through the merger of Fiat Chrysler Automobiles and Groupe PSA, has been garnering attention from investors who are looking to forecast its stock price. With the formation of Stellantis, there is no shortage of speculation about its future performance in the market. So, what can investors expect in terms of the STLA stock price prediction? Many analysts and experts have weighed in on this matter.

According to various forecasts and predictions, Stellantis N.V. is expected to see positive growth in the coming years. The stock price forecast for STLA suggests that it has the potential to increase steadily in the next few years. By 2023, some analysts predict that the STLA stock price could reach a target of $30 or higher. These price targets are based on the company's strong market position, its diversified product portfolio, and the industry's overall growth prospects.

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Frequently Asked Questions

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What is the analyst price prediction for Stellantis N.V. (STLA) stock?

Analysts have set a target price of $28.62 for Stellantis N.V. (STLA), based on forecasts from 5 analysts. The predicted price range extends from a high of $39 to a low of $22. This represents a potential increase of up to 88.82% and a decrease of 6.51% from the current price of $20.66. These forecasts are as of 2021 Jan 27.

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What are the analyst ratings for Stellantis N.V. (STLA) stock?

Currently, there are no analyst ratings available for Stellantis N.V. (STLA), possibly due to insufficient coverage or recent updates.

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What is the AI price prediction for Stellantis N.V. (STLA) stock?

At present, there is no AI or machine-learning-based price prediction available for Stellantis N.V. (STLA) 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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