IBM Prepares for Q2 Earnings as Mainframe AI Drives Upside
IBM heads into its July 22 earnings report with prediction markets pricing in a strong software beat, driven by a surge in mainframe-based AI inference that analysts say the market has yet to fully model.
IBM will report its second-quarter earnings after the market closes on July 22, carrying strong momentum from a first quarter where mainframe revenue surged 51%. Chief Executive Arvind Krishna disclosed that a fully populated IBM Z system now processes "about 450 billion inferences a day". This execution repositions the company's legacy hardware division as a high-demand AI compute engine.
This inference capability is actively reshaping how the market values IBM's software and infrastructure segments. Prediction market platform Polymarket currently assigns an 80.5% probability that IBM’s Q2 software revenue will exceed $7.9 billion, with 68.5% odds it tops $8.05 billion. The company has beaten earnings-per-share estimates for five consecutive quarters, suggesting consistent execution against Street models.
Despite these tailwinds, IBM's stock price has not yet caught up to analyst expectations. As of July 13, shares traded at $291.51, sitting 13.8% below a base-case target of $336.78 and offering a potential 22% upside to a bull-case target of $355.64. Wall Street sentiment reflects this valuation gap, with 15 Buy ratings decisively outnumbering a single Sell rating. Furthermore, a beta of 0.68 provides portfolio stability relative to the broader tech sector.
The operational shift is already materially improving profitability. In the first quarter, software revenue grew 11.3% and infrastructure revenue rose 15.3%, pushing infrastructure segment profit margins to 15.8%, nearly doubling from 8.6% a year earlier. IBM backed this accelerating cash generation by raising its quarterly dividend to $1.69, marking its 31st consecutive annual increase. Management has also reaffirmed guidance for approximately $1 billion in year-over-year free cash flow growth by 2026.
This structural pivot distinguishes IBM from consulting competitors like Accenture. While Accenture operates as a single-lever consulting business, IBM now leverages a proprietary hardware cycle to drive recurring AI inferencing demand. For investors, IBM's current setup combines a diversified, high-margin growth profile with an aristocrat-grade income stream that its pure-play peers simply cannot replicate.
