A Quarter to Forget
IBM officially reported earnings on Wednesday, and the results were as bad as the market feared. While the 115-year-old company still generated 9.9 billion in gross profit, nearly 58% margins, and $2.2 billion in net earnings for the quarter, the numbers fell well short of Wall Street expectations.
The miss was severe enough that CEO Arvind Krishna and the board took the unprecedented step of warning investors ahead of time. Krishna published preliminary results last week stating that earnings "was worse than our expectations." The stock instantly tanked 25%, erasing gains that had accumulated over his six years of leadership.
The Mainframe Collapse
The culprit was IBM's cash-cow mainframe business, which was down 42%. The damage cascades: as CFO Jim Kavanaugh explained, IBM earns 1 of mainframe hardware it sells. On Wednesday, IBM also lowered its full-year growth forecasts.
The Official Explanation
Krishna and Kavanaugh spent the earnings call insisting this was a temporary blip. What happened, they said, was that "tens" of customers due to buy new mainframes during the quarter opted not to. These are not small purchases: mainframes cost hundreds of thousands to millions of dollars, and with maintenance and software contracts, generate many millions more.
The reason? Astronomical cost increases of 15% to 30% for data center gear and PCs, driven by the AI build-out boom. "When they were faced with that issue, then they decided to move budget to those areas where they were having that extreme price," Krishna said. Enterprise hardware makers like Dell and HP have warned of similar component cost pressures.
The Defense of the Mainframe
Krishna promised that those customers will still buy their new mainframes eventually, along with their software contracts. Some have already done so this quarter. "We see no evidence of clients moving off the mainframe," he said.
Whether that holds is the open question. The tech industry has predicted the death of the mainframe for decades. This quarter suggests that even if AI does not kill it directly, the resource demands of the AI boom may be reshuffling enterprise budgets in ways that leave less room for IBM's legacy hardware.