Key Highlights
- IBM stock fell more than 25% on Tuesday, marking its worst day in decades.
- Adjusted earnings came in at $2.93 per share, below the $3.02 consensus.
- Revenue reported at $17.2 billion, shy of the $17.86 billion forecast.
- Clients redirected capex to AI‑focused servers and memory amid a global shortage.
IBM’s shares plunged more than 25% on Tuesday after the company warned that second‑quarter earnings would fall short of Wall Street expectations. The drop came as the market re‑priced exposure to a shifting spend pattern that favors AI‑centric infrastructure and a tightening memory market.
What Happened
Analysts had projected adjusted earnings of $3.02 per share on revenue of $17.86 billion for the quarter. IBM delivered adjusted earnings of $2.93 per share and revenue of $17.2 billion, figures that lagged the expectations. Management highlighted that customers moved spending from traditional software and mainframe products to AI servers and memory, a transition the firm did not fully anticipate in its forecasts.
A global memory shortage further strained supply chains for enterprise and consumer‑grade hardware.
Market Impact
The disappointing results sent IBM’s stock, which had been down 4.8% year‑to‑date, to a loss of 26% for the year. The decline rippled through the technology sector, prompting investors to reassess exposure to companies reliant on legacy mainframe revenue. The memory shortage also affected manufacturers of Apple Mac and iPad devices, Microsoft Surface tablets, and gaming consoles from Sony, Microsoft and Nintendo, as they scramble for limited components and brace for price hikes.
What’s Next
Company leadership noted continued pressure on its z17 mainframe line, underscoring challenges for legacy hardware sales. Clients are expected to continue prioritising capital expenditures on servers, storage and memory through the remainder of June to lock in scarce inventory ahead of anticipated price increases. Market participants will watch forthcoming guidance for signs of how IBM plans to balance its traditional offerings with the accelerating demand for AI‑driven infrastructure.
Additionally, analysts are watching broader industry trends, as rivals also navigate the shift toward AI‑intensive workloads while contending with component shortages that could shape pricing and product strategies across the sector.
This article is for informational purposes only and does not constitute financial advice. Please consult a licensed financial adviser before making investment decisions.





_11_06_2026_20_21_57_115368.jpg)
Please wait processing your request...