
Coherent’s revenue rose 23% in fiscal 2025, and analysts expect 31% CAGR revenue growth from fiscal 2025 to fiscal 2028 plus EPS turning positive in fiscal 2026 and compounding at 52% over the next two years. Growth is being driven by 800G, 1.6T and next-generation 3.2T optical products for AI data centers, with Nvidia investing $2 billion and Coherent receiving $50 million in CHIPS Act funding. The stock has already rallied about 30% since Nvidia’s announcement and now trades at 65x next year’s earnings, indicating strong AI-driven upside but a premium valuation.
The market is starting to re-rate the optics layer of AI infrastructure from a niche component business to a bottleneck asset. The second-order effect is that the biggest beneficiaries may not be the most visible GPU names, but the suppliers that enable cluster scale-up, especially as power density and heat constraints make copper-based architectures uneconomic. That argues for a continued shift in capex from general server spend toward high-speed interconnect, where incremental demand can stay elevated even if AI server unit growth normalizes.
The key nuance is that Coherent’s upside is less about one product cycle and more about mix change plus manufacturing leverage. If 800G/1.6T adoption broadens over the next 12-24 months, gross margin expansion could surprise to the upside because the business is moving from cyclical industrial exposure into a more recurring, qualification-driven supply chain. The funding and strategic alignment with a large GPU platform also reduce the probability of a demand air-pocket, but they do not eliminate execution risk on yield, capacity ramp, and customer concentration.
The consensus seems to be extrapolating AI capex growth in a straight line, which is usually when supply-chain beneficiaries become crowded. The real contrarian question is whether optics becomes temporarily over-earnings-powered: once lead times shorten or multiple suppliers ramp, revenue growth can decelerate faster than the market expects even if end demand remains healthy. That makes the next 2-3 quarters more about order visibility and margin inflection than long-duration AI enthusiasm.
The biggest downside scenario is a capex digestion phase at hyperscalers or a technology transition that delays broad deployment of the newest optical speeds. In that case, the stock’s valuation leaves little room for disappointment, and any manufacturing hiccup could trigger multiple compression before fundamentals actually roll over. For investors, this is a classic ‘good business, expensive stock’ setup where timing matters more than thesis quality.
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