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Exploring Investment Opportunities in Quantum Computing: A Look Beyond the Giants

Published March 9, 2025

As the investment landscape evolves, many investors are seeking opportunities beyond the well-known "Magnificent Seven" stocks, particularly in the field of quantum computing.

With the rise of megatrends, it's common for small companies that were previously under the radar to gain significant attention and prominence. Quantum computing, a subfield of artificial intelligence (AI), is now attracting considerable interest, hinting at potential groundbreaking advancements.

While major players in the AI sector like Nvidia, Microsoft, Alphabet, and Amazon remain in focus, some investors are growing weary of the same repeated names. This exhaustion prompts them to explore emerging sectors such as quantum computing, which may offer the next big investment opportunity.

An emerging contender in the quantum computing space is a relatively small company called IonQ (IONQ). The company has seen its stock price soar by an impressive 222% over the last six months, causing excitement among investors. Notably, CEO Niccolo de Masi made bold predictions about the company’s future, suggesting it could deliver generational gains.

IonQ's Ambitious Future

The computing landscape has undergone significant transformations over the decades. The introduction of central processing units (CPUs) marked a major leap in computing technology, enabling personal computers to run instructions efficiently. In the 1990s, Intel was a key player in this evolution.

By the early 2000s, graphics processing units (GPUs) gained popularity due to their ability to improve visual experiences in video games. These chips leverage specialized designs for parallel processing, leading to rapid outcomes for specific tasks. Nvidia pioneered this GPU development, while companies like Advanced Micro Devices later entered the scene. Currently, GPUs serve as vital infrastructure driving the ongoing advancements in AI, especially in the realm of generative applications.

Now, attention is shifting toward quantum computing, which operates on fundamentally different principles compared to classical computers. Quantum machines have the potential to solve unique problems quickly, problems that may take traditional supercomputers years to tackle. While its practical applications are still limited, the prospects of quantum computing are intriguing, leading many to view it as a lucrative investment space.

In a recent interview on CNBC, IonQ's CEO declared that the firm stands as the "800-pound gorilla" in quantum computing and likened its journey to that of Nvidia before the AI boom.

Evaluating IonQ's Position Relative to Nvidia

In his interview, de Masi suggested similarities between IonQ's current state and where Nvidia stood approximately a decade ago. To gauge this comparison, let's delve deeper.

In Nvidia's fiscal year 2015, which concluded on January 25, 2015, the company generated revenues of $4.7 billion alongside a net income of around $631 million. At that time, Nvidia’s market capitalization was about $11.3 billion.

However, IonQ is a significantly smaller entity today in comparison to Nvidia's position back then. Additionally, IonQ's rate of cash burn has been increasing, even as its revenue growth appears to be accelerating. Although this might signal heavy investment in research and development, it raises concerns about the sustainability of losses for a company with minimal revenue.

Is IonQ a Worthwhile Investment Right Now?

In assessing whether IonQ is comparable to Nvidia of the past, it’s important to note the current market conditions. Presently, IonQ's stock carries a price-to-sales (P/S) ratio exceeding 100, while Nvidia was trading at a modest P/S multiple of only 2.4 in early 2015.

This significant difference in valuation highlights a key factor: investors in the past may have underestimated Nvidia's potential, especially in realizing the wider applications of GPUs beyond gaming. At that time, Nvidia was growing and generating profits but traded at a lower multiple due to limited awareness of its broader capabilities. In contrast, IonQ's current high valuation seems less reflective of a similar situation, carrying a substantial premium.

Moreover, IonQ's valuation has surged in a very short time frame. Even after a significant market correction, it is likely still overvalued given its low sales volume and elevated cash burn rate. While the notion of investing in quantum computing as a parallel to the early AI investment phase is tempting, the reality is that substantial development is still required for quantum technology to become practical, which may take several years, if not decades.

For investors without the patience for such a long-term outlook and a strong tolerance for volatility, investing in IonQ at this moment may not be advisable.

investing, quantum, computing