CCJ Stock and SMR Stock: Key Nuclear Investments Amidst AI Growth

Saturday, 26 October 2024, 15:31

CCJ stock and SMR stock are standout nuclear investments as the AI boom drives clean energy demand. Explore these top picks for investors looking to capitalize on nuclear equities.
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CCJ Stock and SMR Stock: Key Nuclear Investments Amidst AI Growth

Opportunities in Nuclear Energy Stocks

The growth of artificial intelligence (AI) is driving an increasing demand for clean energy, creating investment opportunities in nuclear energy-related equities, particularly in Cameco (NYSE: CCJ) and NuScale Power (NYSE: SMR).

Cameco (NYSE: CCJ)

Cameco stands out as one of the largest uranium producers globally, supported by partnerships with notable players in the clean energy sector, like Brookfield Renewable Partners. Recently, BofA Securities raised its price target for CCJ to $63, indicating strong growth potential.

  • Upcoming earnings report due November 7 predicts $0.28 per share, with a year-over-year growth of 16.67%.
  • Revenue expected to reach $532.06 million, reflecting an increase of 24.12% from last year.

Despite optimism, investors should be cautious of a projected uranium deficit through 2027.

NuScale Power (NYSE: SMR)

NuScale Power leads in small modular reactor technology, emphasizing innovative nuclear solutions that drive investment interest. It has formed strategic partnerships with Fluor and Transworld Services for its projects.

  • SMR stock has seen a remarkable year-to-date return of 86%.
  • Despite a reported net loss of $74.4 million in Q2 2024, the company maintains solid liquidity.

Analysts remain optimistic, with Craig-Hallum and TD Cowen issuing 'Buy' ratings for SMR.

Conclusion

As AI accelerates the demand for clean energy, CCJ stock and SMR stock emerge as premier choices for investors aiming to thrive in this evolving landscape.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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