Stocklytics Platform
Asset logo for symbol PDS
Precision Drilling
High Growth
Asset logo for symbol PDS



AI Deep-Learning Forecast (PDS)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Precision Drilling (PDS) Stocklytics Forecast

As of the latest available data, Precision Drilling Corp (PDS) has been showing promising signs in terms of its stock price. Analysts and forecasting models indicate a positive outlook for PDS in the coming years. Based on AI and machine learning predictions, it is anticipated that the stock price of Precision Drilling Corp will experience steady growth and reach new heights by 2023. The company's strong financial performance and strategic initiatives have positioned it well for long-term success.

Several analysts have also provided their price targets for PDS. According to their forecasts for 2023, Precision Drilling Corp is expected to reach a favorable price level. These analysts have considered various factors such as the company's industry position, financial health, and market trends to arrive at their estimations. It is essential to note that these price targets are subjective opinions and should be treated as such.

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Frequently Asked Questions

What is the analyst price prediction for Precision Drilling (PDS) stock?

Analysts have set a target price of $98.69 for Precision Drilling (PDS), based on forecasts from 13 analysts. The predicted price range extends from a high of $125 to a low of $35. This represents a potential increase of up to 74.51% and a decrease of -51.14% from the current price of $71.63. These forecasts are as of 2020 Nov 25.

What are the analyst ratings for Precision Drilling (PDS) stock?

Currently, there are no analyst ratings available for Precision Drilling (PDS), possibly due to insufficient coverage or recent updates.

What is the AI price prediction for Precision Drilling (PDS) stock?

At present, there is no AI or machine-learning-based price prediction available for Precision Drilling (PDS) 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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