Down 50%, Should You Buy the Dip in Rigetti Computing?

19 hours ago

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For the last few months, investors in the artificial intelligence (AI) movement have become enamored with a new opportunity: quantum computing. While quantum computing stocks experienced a fleeting jolt toward the end of 2024, recent price action suggests the momentum may be coming to a halt.

In particular, shares of Rigetti Computing (NASDAQ: RGTI) are down 50% from prior highs (as of Jan. 17). Is now a good time to buy the dip in Rigetti Computing stock?

Jensen Huang is the CEO of the largest semiconductor company in the world, Nvidia. Earlier this month, Huang spoke in detail about quantum computing and the role Nvidia is playing in the development of this potentially groundbreaking AI technology.

In the video below, Huang explains specific use cases surrounding quantum computing, how the technology works, and why Nvidia is playing an important role in its development.

As you can see in the chart below, shares of Rigetti Computing were on a tear prior to Huang's discussion in early January. However, shortly after his comments, Rigetti stock fell in epic fashion -- bottoming out around $6 per share. So, what happened?

RGTI Chart
RGTI data by YCharts

While Huang's comments could be viewed as largely bullish, he did say that quantum computing won't be entirely useful for another two decades at the earliest. As such, investors who thought quantum computing would be an overnight success story left the party early and sold their shares.

A quantum computer processing data.
Image source: Getty Images.

Heavy selling activity in stocks is not always a bad thing. In fact, many times sell-offs are predicated on panic and emotion rather than sound financial judgement. Let's explore if now is a lucrative time to scoop up shares in one of AI's next big waves.

In the charts below, I've illustrated trends in Rigetti's revenue and profitability. Clearly, the company is not generating much in terms of revenue -- with less than $12 million in sales over the last year. Moreover, the graph shows some notable ebbs and flows across Rigetti's top line -- suggesting that its services are not consistently in demand. In a way, these dynamics align with Huang's view that quantum computing is not top of mind for many of AI's major forces right now.


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