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Top Quantum Computing Stocks: What Analysts Say About IonQ, IBM and Alphabet in 2026

J_News by J_News
August 8, 2026
in Crypto Technical Analysis, Top News
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Top Quantum Computing Stocks: What Analysts Say About IonQ, IBM and Alphabet in 2026
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TLDR

  • IonQ is the most direct quantum computing stock, rated Moderate Buy with an average price target of $69.92
  • IBM has 15 Buy ratings and an average price target of $265.40, offering quantum exposure alongside stable existing businesses
  • Alphabet has 44 Buy ratings and a price target of $419.86, combining quantum research with its dominant tech empire
  • IonQ remains unprofitable, making it the highest risk of the three
  • All three stocks carry a Buy or Moderate Buy consensus from analysts on MarketBeat

IonQ, IBM and Alphabet: What Analysts Say About These Quantum Computing Stocks

Quantum computing is still an emerging technology, but three stocks are drawing attention from analysts who see long-term potential in the space. IonQ, IBM and Alphabet each offer a different way to invest in quantum computing, and all three currently carry Buy or Moderate Buy ratings from analysts tracked by MarketBeat.

Here is a look at each company and what the analyst data shows.

IonQ: The Pure-Play Quantum Bet

IonQ is the most focused of the three. Quantum computing is not a side project for the company. It is the entire business.


IONQ Stock Card
IonQ, Inc., IONQ

That makes IonQ the highest-risk option. The company is not yet profitable, so investors are buying into future growth rather than current earnings.

Analyst sentiment is still mostly positive. On MarketBeat, 9 analysts rate IonQ a Buy, 4 rate it a Hold, and 1 rates it a Sell. The consensus is Moderate Buy.

The average analyst price target sits at $69.92. With the stock recently trading around $42, that implies meaningful upside according to analyst models.


Betpanda


IonQ has continued to expand its technology and commercial operations, and its focus on quantum hardware gives it the most direct exposure to any growth in the sector.

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For investors with a high risk tolerance, IonQ offers the biggest potential payoff if quantum computing becomes a large commercial industry.

IBM: Established Tech With a Quantum Programme

IBM takes a different approach. The company has built out quantum hardware, software and its Qiskit platform over several years, and offers cloud-based access to quantum systems.


IBM Stock Card
International Business Machines Corporation, IBM

Crucially, IBM also generates steady revenue and cash flow from its existing software and infrastructure businesses. That means it does not depend on quantum computing succeeding in the near term to stay financially stable.

On MarketBeat, IBM holds 15 Buy ratings, 11 Holds and 1 Sell. The consensus is Moderate Buy, with an average price target of $265.40.

IBM has set out plans for major advances in its quantum computing roadmap in the years ahead, and continues to invest heavily in the field.

For investors who want quantum exposure but are uncomfortable with IonQ’s risk profile, IBM offers a more defensive option.

Alphabet: Quantum Research Backed by a Tech Giant

Alphabet runs one of the most advanced quantum research programmes in the world through Google Quantum AI.


GOOGL Stock Card
Alphabet Inc., GOOGL

The company sits in a strong financial position, with dominant businesses across search, advertising, YouTube and Google Cloud all generating substantial cash.

Analyst coverage of Alphabet is overwhelmingly positive. MarketBeat shows 6 Strong Buy ratings, 44 Buy ratings and 4 Holds. There are no Sell ratings. The average price target is $419.86.

The main limitation is scale. Alphabet is so large that quantum computing would need to become extremely valuable to move the needle on overall earnings.

Still, for investors who want quantum exposure with less concentration risk, Alphabet offers an entry point backed by one of the strongest balance sheets in tech.

All three stocks carry analyst Buy ratings, but investors should treat them as long-term positions. Quantum computing still faces real challenges around scalability and commercial viability.


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