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Asset logo for symbol IBP
Installed Building Products
High Quality
Asset logo for symbol IBP



AI Deep-Learning Forecast (IBP)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Installed Building Products (IBP) Stocklytics Forecast

The stock price of Installed Building Products Inc (IBP) has shown a promising trend over the years, making it a solid investment option for many. With a strong foothold in the building industry, IBP has positioned itself as a leader in providing installation services and building products across North America. As a result, industry experts predict a positive stock price growth trajectory for IBP in the coming years.
AI and machine learning algorithms have also been employed to forecast the stock price of IBP, and the results look quite favorable. These advanced technologies analyze various factors, such as historical data, market trends, and company performance, to make accurate predictions. Based on these predictions, IBP's stock price is expected to rise steadily, making it an attractive option for investors looking for long-term growth opportunities.
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Frequently Asked Questions

What is the analyst price prediction for Installed Building Products (IBP) stock?
Analysts have set a target price of $147.7 for Installed Building Products (IBP), based on forecasts from 23 analysts. The predicted price range extends from a high of $216 to a low of $85. This represents a potential increase of up to -10.44% and a decrease of -64.76% from the current price of $241.18. These forecasts are as of 2022 Aug 18.
What are the analyst ratings for Installed Building Products (IBP) stock?
Currently, there are no analyst ratings available for Installed Building Products (IBP), possibly due to insufficient coverage or recent updates.
What is the AI price prediction for Installed Building Products (IBP) stock?
At present, there is no AI or machine-learning-based price prediction available for Installed Building Products (IBP) 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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