Fabrinet posted record fiscal Q4 revenue and above-consensus guidance, yet its stock cratered in after-hours trading. The drop dragged down Marvell, Seagate, and Amphenol, raising questions about how much AI infrastructure growth is already priced into the group.
Record numbers, then a reversal
Fabrinet's fiscal Q4 2026 revenue hit a record $1.316 billion, up 45% year-over-year, blowing past analyst expectations of roughly $1.28 billion. Non-GAAP earnings per share came in at $4.10, comfortably topping the $3.81 consensus. Full fiscal year 2026 revenue reached $4.64 billion, reflecting 36% growth from the prior year.
The stock initially climbed about 5% on the news. Then, in after-hours trading, it cratered somewhere between 9% and 20%. For Q1 of fiscal year 2027, Fabrinet projected revenue in the range of $1.375 billion to $1.425 billion, with non-GAAP EPS guidance of $4.10 to $4.25 also exceeding what the Street had penciled in. But investors looked past the top-line numbers and zeroed in on margins, capital expenditure requirements, and whether the stock's valuation had run too far, too fast.
Profit-taking spreads across the sector
The sell-off wasn't contained to Fabrinet. Marvell Technology and Seagate each dropped approximately 8% on the same trading day, caught in the pull of souring sentiment around AI-linked semiconductor and optics names. Amphenol, the connector and cable maker that supplies components for data center buildouts, also felt the pressure.
What the reaction signals for AI valuations
Fabrinet's 45% revenue growth and above-consensus guidance suggest demand for optical networking components and precision manufacturing remains robust. Yet when a stock has already priced in several quarters of blowout growth, even a strong report can trigger selling once investors spot any cracks in the narrative. In Fabrinet's case, concerns about profit margin sustainability and rising capital expenditure needs gave sellers their justification.
For Marvell, which derives a growing share of its revenue from custom AI chips and data center connectivity, the read-through is particularly relevant. Its exposure to the same end markets that drive Fabrinet's business means sentiment shifts in optical networking tend to bleed into semiconductor names with AI exposure.
Source: Crypto Briefing
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