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General Electric Co

64 / 100
High Growth

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.

General Electric Co (GE) Stocklytics Forecast

General Electric Co (GE) is a multinational conglomerate with a diverse portfolio of products and services spanning multiple industries, including aviation, healthcare, renewable energy, and power generation. As of now, there is significant interest among investors regarding the stock price prediction for GE. While it is impossible to accurately predict future stock prices due to various factors and uncertainties, market analysts and artificial intelligence (AI) tools can provide some insights.

Based on historical data and market trends, analysts have forecasted that General Electric Co's stock price will experience moderate growth over the next few years. According to their predictions, the stock price is expected to gradually increase and stabilize by 2023. However, it is important to note that these forecasts are subject to change based on the company's performance, market conditions, and unforeseen events.

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Frequently Asked Questions

What is the analyst price prediction for General Electric Co (GE) stock?

Analysts have set a target price of $126.36 for General Electric Co (GE), based on forecasts from 22 analysts. The predicted price range extends from a high of $153 to a low of $102. This represents a potential increase of up to -3.56% and a decrease of -35.71% from the current price of $158.65. These forecasts are as of 2023 Mar 31.

What are the analyst ratings for General Electric Co (GE) stock?

Currently, there are no analyst ratings available for General Electric Co (GE), possibly due to insufficient coverage or recent updates.

What is the AI price prediction for General Electric Co (GE) stock?

At present, there is no AI or machine-learning-based price prediction available for General Electric Co (GE) 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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