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Asset logo for symbol MUSA
Murphy USA
MUSA59
$484.77arrow_drop_down0.65%-$3.18
Asset logo for symbol MUSA
MUSA59

$484.77

arrow_drop_down0.65%

AI Deep-Learning Forecast (MUSA)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Murphy USA (MUSA) Stocklytics Forecast

According to AI and machine learning predictions, the stock price of Murphy USA Inc (MUSA) is expected to show positive growth in the coming years. The forecast for 2023 suggests that MUSA stock will continue to rise steadily. Analysts also have a positive perspective on the future of MUSA stock, with a bullish price target for 2023. With a strong analyst rating, Murphy USA Inc is considered a good buy in the current market.
Murphy USA Inc operates a chain of retail gas stations and convenience stores across the United States. With a wide reach and a strong market presence, the company has been able to maintain a stable growth trajectory. The stock price of Murphy USA Inc has shown resilience, even during periods of economic uncertainty. The company's strategic initiatives, such as expanding its product offerings and improving its digital capabilities, have positioned it for continued success in the future.
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Frequently Asked Questions

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What is the analyst price prediction for Murphy USA (MUSA) stock?

Analysts have set a target price of $364.2 for Murphy USA (MUSA), based on forecasts from 30 analysts. The predicted price range extends from a high of $470 to a low of $228. This represents a potential increase of up to -3.05% and a decrease of -52.97% from the current price of $484.77. These forecasts are as of 2022 Jul 20.
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What are the analyst ratings for Murphy USA (MUSA) stock?

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

At present, there is no AI or machine-learning-based price prediction available for Murphy USA (MUSA) 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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