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China’s CXMT expects revenue to surge as memory chip demand soars

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China’s CXMT expects revenue to surge as memory chip demand soars

CXMT expects first-half revenue of 110 billion yuan to 120 billion yuan and net profit of up to 57 billion yuan, supported by surging DRAM prices and stronger AI-related memory demand. First-quarter revenue jumped more than 700% year on year to 50.8 billion yuan, while net profit rose to 25 billion yuan from a 1.6 billion yuan loss a year earlier. The update reinforces the strength of the memory-chip upcycle and sharpens investor focus on CXMT’s IPO prospects and China’s DRAM progress.

Analysis

The key takeaway is not just that memory is strong, but that the industry’s earnings inflection is becoming self-reinforcing. When DRAM pricing outruns capacity additions, the marginal winner is the producer with the cleanest product mix and the fastest wafer conversion, because incremental gross margin expands far faster than unit volume. That tends to compress the valuation gap between “China semiconductor” and “AI infrastructure” names, even if the market still applies a geopolitical discount. Second-order effects matter more than the headline revenue jump. Stronger memory pricing tightens supply for server, AI accelerator, and OEM buyers, which can push systems integrators to lock inventory earlier and create a restocking wave over the next 1-2 quarters. That helps adjacent beneficiaries in testing, packaging, and high-speed interconnect, while pressuring hardware OEMs that lack pricing power; the pain usually shows up with a lag in margins rather than top-line growth. The contrarian risk is that this is close to peak-cycle behavior, not a clean structural re-rating. Memory has historically been the first component to overshoot in AI upcycles, and once lead times normalize, earnings can mean-revert sharply within 2-3 quarters if supply response from Korea/Taiwan accelerates or if enterprise capex pauses. For investors, the question is less whether the current quarter is strong and more whether the market is already capitalizing a full supercycle before inventory and pricing elasticity bite. On the public-market angle, the most interesting setup is not a generic long semiconductor basket but a relative trade that isolates the pricing cycle from the balance-sheet and policy overhang. Names with AI exposure but weaker memory linkage can underperform if the market rotates toward pure memory beta, while the right short hedge is a hardware enabler with stretched expectations and limited near-term revision upside.