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This Tech Stock Has Printed Money for Patient Investors for 5 Years, and It's Still Cheap

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This Tech Stock Has Printed Money for Patient Investors for 5 Years, and It's Still Cheap

Onto Innovation posted record full-year 2025 revenue of about $1.005 billion and guided Q2 2026 revenue to $320 million-$330 million, above prior expectations, while raising full-year 2026 growth outlook to more than 30%. The Dragonfly G5 advanced packaging tool has completed qualification and is set to ship first units in June 2026, while a >$240 million HBM purchase agreement through 2027 supports backlog visibility. Risks remain from customer concentration and competition from Applied Materials and KLA, but the article frames Onto as a key AI packaging beneficiary with additional upside to the $334 average price target.

Analysis

ONTO is becoming a leverage point on AI capex that is further out on the supply chain than the usual GPU names, which matters because inspection/metrology spend tends to rise when packaging complexity rises faster than wafer starts. The second-order effect is that every incremental dollar into chiplets and HBM can force a disproportionate pull-through into process-control tools, so ONTO can keep compounding even if headline semiconductor unit growth moderates. That said, this is also a concentration story: the same AI customer mix that is driving upside makes the revenue base more sensitive to a small number of procurement decisions and qualification slippage. The market may still be underestimating how much of the next leg is already de-risked by qualification and contract coverage. A first-shipment event on a next-gen platform usually matters less for the announcement than for the conversion curve over the following 2-4 quarters, because tool acceptance, install timing, and follow-on order cadence can re-rate the whole backlog narrative. If AI packaging demand stays intact into 2H26, ONTO has a clean path to multiple expansion as margins step up; if the HBM cycle softens, the stock can de-rate quickly because investors are paying for visible growth, not cyclical optionality. The contrarian read is that consensus is probably focused too much on the revenue line and not enough on competitive intensity. Large-cap peers can subsidize packaging R&D longer than the market expects, so ONTO’s moat is less about technology uniqueness and more about being the fastest-qualified solution at the right customer nodes. The right way to think about the stock is not as a pure AI winner, but as a high-beta tollbooth on advanced packaging spend with a narrower failure mode than GPU names and a sharper drawdown if one or two hyperscaler/HBM budgets roll over.