ON Semiconductor Q2 Results Beat Expectations, AI Data Center Revenue Expected to Double
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ON Semiconductor posted Q2 revenue of $1.604 billion and adjusted EPS of 74 cents, both above consensus, while guiding AI data-center revenue to more than double in 2026 — shares rose over 6% after hours.
Where exactly did the quarter beat?
Q2 revenue hit $1.604 billion versus the FactSet consensus of $1.589 billion; adjusted EPS came in at 74 cents versus the expected 71 cents.
This means → both headline numbers cleared the bar by a modest margin — not a blowout, but enough to push the stock past $85.92 in after-hours trading, up more than 6%.
Why is the AI data-center business the standout?
ON supplies power semiconductors — chips that manage electricity flow — to AI-chip data centers. That business generated roughly $250 million in 2025 revenue and is now guided to double to about $500 million in 2026.
In plain terms = every new AI server needs efficient "power-management" chips, and ON sells exactly that.
CEO Hassane El-Khoury credited the ramp to the strength of ON's smart-power portfolio and expanding customer adoption across the power tree — the full chain that delivers electricity from the rack down to each individual chip.
How big is $500 million in ON's overall picture?
Even after doubling, AI data-center revenue would account for roughly 8% of analysts' projected 2026 total revenue of about $65 billion.
This means → ON's bread and butter is still automotive and industrial power management plus image sensing — auto customers alone make up more than half of total sales.
In plain terms = AI is the fastest-growing new engine, but the car business remains the ballast.
What is the market watching next?
Whether the AI data-center unit can keep delivering on the doubling trajectory will be the key proof point for ON's power-chip penetration into AI infrastructure.
ON shares had already rallied about 50% year-to-date through Monday's close; the after-hours pop of over 6% shows the market is still willing to pay up for the AI narrative.
This reflects a broadening of the "AI picks-and-shovels" trade — investor enthusiasm has moved beyond GPUs into power management, on the logic that as long as AI compute keeps expanding, the power layer benefits too.
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