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Asset logo for symbol FERG
Ferguson plc
FERG63
$182.95arrow_drop_down1.04%-$1.93
Asset logo for symbol FERG
FERG63

$182.95

arrow_drop_down1.04%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Ferguson plc (FERG) Stocklytics Forecast

Ferguson plc, also known as FERG, is a leading distributor of plumbing and heating products based in the United Kingdom. As a major player in the industry, Ferguson plc has attracted the attention of investors who are keen on predicting its stock price and forecasting its future performance. While it is important to note that any stock price prediction is subject to various factors and uncertainties, analysts have provided insights into the future prospects of Ferguson plc.
According to analysts' forecasts, Ferguson plc's stock price is expected to experience growth in the coming years. The consensus among analysts is that the stock will continue to perform well and reach new heights by 2023. Machine learning algorithms and AI models have also been employed to predict the stock's future movement. These advanced technologies have shown promising results, further supporting the positive outlook for Ferguson plc.
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Frequently Asked Questions

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What is the analyst price prediction for Ferguson plc (FERG) stock?

Analysts have set a target price of $168.46 for Ferguson plc (FERG), based on forecasts from 26 analysts. The predicted price range extends from a high of $208 to a low of $140. This represents a potential increase of up to 13.69% and a decrease of -23.48% from the current price of $182.95. These forecasts are as of 2022 Apr 25.
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What are the analyst ratings for Ferguson plc (FERG) stock?

Currently, there are no analyst ratings available for Ferguson plc (FERG), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Ferguson plc (FERG) stock?

At present, there is no AI or machine-learning-based price prediction available for Ferguson plc (FERG) 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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