IBM Stock Is Down 17% This Year — But Is the Selloff Actually an Opportunity?

The daily volatility of the ticker tape seems almost academic from IBM’s offices in Armonk, New York, which are situated far enough away from Wall Street. However, it hasn’t mattered as much this year as it usually does. From a 52-week high of $324.90 to about $243 as of early April, the stock has fallen by about 17% since January. This decline is severe enough to cause even patient investors to reconsider. However, there is a sense that the stock price and the underlying business may be telling two very different stories based on the way the company has been spending its time lately.

It is difficult to get enthusiastic about IBM. For a long time, it hasn’t. Older technology companies, those based on mainframes and punch cards, decades of government contracts, and enterprise sales cycles measured in years rather than quarters, are subject to a particular kind of skepticism. All of that history is carried by IBM, and when markets are in the mood for novelty, they often overlook the past. They certainly are at the moment. The sweetheart is Nvidia. Investors are chasing the most glamorous names in the AI infrastructure gold rush, and IBM is not one of those names. It has never been.

However, IBM has been doing something intriguing over the past few months: establishing alliances that imply it knows exactly where the AI economy is going and that it plans to be essential to the aspect of it that no one discusses. The unglamorous aspect. Information. infrastructure.

The plumbing. IBM and Arm announced a partnership on April 2 to create dual-architecture hardware for AI and data-intensive tasks. The strategy entails integrating Arm’s architecture with IBM’s enterprise system capabilities and investigating virtualization technologies that would enable Arm-based software environments to operate inside IBM’s computing platforms. This type of announcement probably ought to make headlines, but it doesn’t.

IBM and Nvidia previously announced a partnership encompassing storage, analytics, intelligent document processing, hybrid cloud, and consulting at Nvidia’s GTC conference in mid-March. The competitive advantage that is hidden within most large organizations is being drained by fragmented data, and there is no way to fix that without a serious data management strategy, according to IBM’s storage general manager Sam Werner.

The underlying observation isn’t incorrect, but it’s possible that Werner is exaggerating the issue because IBM frequently presents its own products as the only rational solutions. The majority of big businesses, especially telecom companies that date back to the 19th century, have massive data repositories that they are genuinely unable to access or combine without substantial assistance.

IBM uses Nestlé as an example, which is instructive. By collaborating with IBM and Nvidia, Nestlé was able to cut costs by 83% while reducing data refresh times on its global Order-to-Cash system from 15 minutes to three minutes, processing terabytes across 186 countries. That is an actual outcome. It’s unclear if this translates well to other clients, but IBM needs more tangible results like this to close deals and change the perception of the stock.

In terms of finances, the situation is more nuanced than the drop in share prices suggests. Revenue for the fourth quarter of 2025 was $19.69 billion, exceeding both EPS and revenue projections and up more than 12% year over year. IBM’s revenue increased by 7.6% to $67.5 billion over the previous 12 months. When compared to its earnings growth trajectory, the P/E ratio of approximately 19.66 seems reasonable. Currently yielding 2.76% with a quarterly payment of $1.68 per share, the dividend offers the kind of floor that income-focused investors typically value, particularly in a market this volatile. For more than a century, IBM has consistently paid dividends. Although that fact is often overlooked, it is important to acknowledge.

It’s difficult to ignore the tension in the current perception of IBM. The market appears to have concluded that a small number of chip manufacturers and cloud behemoths own the AI narrative. In some way, IBM, which operates more research facilities than any other industrial research organization in the world—19 across twelve countries—is being treated like an observer. There’s something wrong with that characterization.

It’s possible that the selloff is due to sound valuation adjustments rather than any underlying issues with the company, and that the stock is just correcting after an excessively long run. It’s also possible that investors are holding onto a business that is implementing AI while the market values it as if it were still IBM.

These things are sorted out by time. Currently, IBM’s AI strategy, partnerships, and data platform are not its biggest issues. It’s the narrative it’s telling and how slowly it’s coming to an end. Both the deals and the numbers are present. Simply put, the market hasn’t yet chosen to pay attention.