Jabil Raises FY2026 Forecast After $8.3B Quarter Exceeds Targets
On March 18, 2026, Jabil Inc. increased its financial projections for fiscal year 2026, following a second-quarter performance that significantly surpassed expectations. The company raised its full-year revenue outlook to $34 billion and its non-GAAP core diluted earnings per share (EPS) to $12.25. This upgraded guidance reflects growing confidence in demand for the second half of the year, supported by an anticipated adjusted free cash flow of over $1.3 billion.
The announcement followed a strong second quarter where Jabil reported net revenue of $8.3 billion and a non-GAAP core diluted EPS of $2.69, both ahead of analyst consensus. U.S. GAAP diluted EPS came in at $2.08. The company's third-quarter outlook projects continued strength, with expected non-GAAP core diluted EPS between $2.83 and $3.23 on revenue of $8.1 billion to $8.9 billion.
Jabil delivered a very strong second quarter, with results ahead of our expectations across revenue, core operating margin, and core EPS.
— Mike Dastoor, CEO.
Intelligent Infrastructure Revenue Grows 42% on Data Center Demand
The primary engine for Jabil's outperformance is its Intelligent Infrastructure division, which caters to the booming AI sector. Analyst projections showed this segment's revenue was expected to reach $3.76 billion, marking a 42.1% increase from the same quarter last year. CEO Mike Dastoor confirmed that robust demand from cloud and data center infrastructure, networking, and capital equipment customers led the quarter's broad-based strength.
This growth aligns with a massive industry-wide investment in AI capabilities, which is creating significant demand for the specialized electronic components and manufacturing services that Jabil provides. As companies expand their data centers to handle advanced AI workloads, the need for power, cooling, and connectivity hardware surges, directly benefiting suppliers like Jabil. The company's results underscore the powerful and sustained capital expenditure cycle powering the AI hardware supply chain.