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Zacks Investment Ideas feature highlights: Micron Technologies, Sandisk, Vishay Intertechnology, ON Semiconductor, Texas Instruments and Analog Devices

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Zacks Investment Ideas feature highlights: Micron Technologies, Sandisk, Vishay Intertechnology, ON Semiconductor, Texas Instruments and Analog Devices

Vishay Intertechnology reported Q1 2026 revenue of $839.2 million, beating guidance of $800 million-$830 million and consensus, while EPS turned positive at $0.05 versus a $0.03 loss expected. Book-to-bill was 1.34 and backlog rose 21% to $1.6 billion, signaling accelerating demand; analysts have also lifted current-quarter EPS estimates 87.5% in a week. The stock is up nearly 200% in two months, with AI data center exposure growing but still secondary to the broader analog and industrial recovery.

Analysis

The key takeaway is not that one stock ripped; it’s that the “AI semiconductor” trade is broadening from compute into the plumbing of power, thermal, and industrial infrastructure. That matters because these components tend to lag the headline AI winners by 1-3 quarters, so what we’re seeing may be an early read on a second leg of capex rather than a one-off sentiment burst. If that holds, ON/TXN/ADI should benefit from multiple expansion plus estimate revisions, while niche analog/discrete names can outperform on operating leverage off depressed utilization.

The market is likely underestimating how much of this is still a backlog normalization story rather than a true end-demand acceleration. That’s important because backlog-led recoveries can be fast and self-reinforcing for 2-4 quarters, but they also set up sharper air pockets once channels reorder to maintenance levels. In other words, the upside is real, but the trade is increasingly about duration: a few months of revision momentum versus a multi-year structural rerating.

VSH is the cleanest expression of that asymmetry: it has the highest beta to the cycle turn, but also the least margin for error after a very large move. The consensus is probably too focused on the AI label and not enough on the fact that AI-linked power demand can spill into old-economy analog chips, creating a broader beneficiary set than the market is pricing. The more contrarian read is that the best risk-adjusted longs may not be the strongest momentum names, but the high-quality laggards whose estimates have just begun to inflect and whose valuation still reflects skepticism.