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Enphase Energy
Asset logo for symbol ENPH



AI Deep-Learning Forecast (ENPH)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Enphase Energy (ENPH) Stocklytics Forecast

Enphase Energy Inc (ENPH) is a leading provider of solar energy solutions that are driving the transition to clean and sustainable energy sources. With its innovative microinverter technology, Enphase has established itself as a market leader in the solar industry. The company's stock has experienced significant growth over the past few years, and many investors are keen to know its future prospects. In this forecast, we will analyze Enphase Energy's stock price prediction for the next few years, using AI and machine learning algorithms to provide valuable insights.

According to the latest predictions, Enphase Energy Inc's stock price is expected to continue its upward trajectory in the coming years. By 2023, experts forecast that the stock price will reach new heights, driven by strong demand for solar energy solutions and Enphase's market dominance. The company's continuous innovation, improving financial performance, and ability to adapt to changing market conditions are some of the key factors contributing to its positive outlook.

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Frequently Asked Questions

What is the analyst price prediction for Enphase Energy (ENPH) stock?

Analysts have set a target price of $127.65 for Enphase Energy (ENPH), based on forecasts from 26 analysts. The predicted price range extends from a high of $167 to a low of $75. This represents a potential increase of up to 58.35% and a decrease of -28.88% from the current price of $105.46. These forecasts are as of 2023 Oct 13.

What are the analyst ratings for Enphase Energy (ENPH) stock?

Currently, there are no analyst ratings available for Enphase Energy (ENPH), possibly due to insufficient coverage or recent updates.

What is the AI price prediction for Enphase Energy (ENPH) stock?

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