Can SMCI's Record Backlog Sustain Revenue Momentum in FY27?

Yahoo Finance ·

Super Micro Computer is positioned for continued expansion in fiscal 2027, propelled by a record order backlog. For fiscal 2026, SMCI generated revenues of $39.1 billion, marking a 78% year-over-year increase. Fourth-quarter new orders surpassed $60 billion, driving the backlog to unprecedented levels. The company is actively shipping systems powered by advanced NVIDIA and AMD platforms, with artificial intelligence solutions projected to represent over 80% of future revenues based on the current order book. To meet escalating demand, SMCI is scaling manufacturing footprints across the United States, Taiwan, Malaysia, and the Netherlands. Management anticipates fiscal 2027 revenues to land between $65 billion and $72 billion, while first-quarter revenues are forecasted at $14.5 billion to $15.5 billion. Amid competition from Hewlett Packard Enterprise and Dell Technologies, SMCI currently holds a Zacks Rank 1 Strong Buy designation, trading at a forward 12-month P/S multiple of 0.37X.

AI 시장 분석

Supermicro Computer (SMCI) secured a record backlog with fiscal 2026 revenue of $39.1 billion and over $60 billion in new orders for the fourth quarter. Backed by expanded shipments of next-generation AI infrastructure such as Nvidia GB300 and AMD MI450, the company projected FY27 revenue at $65 billion to $72 billion. Robust AI demand and expanded manufacturing capacity are expected to support growth across the related ecosystem.

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DYAX 전담 분석

SMCI's record backlog and projected expansion of AI solution revenue share to 80% significantly enhance earnings visibility for hardware suppliers. In particular, liquid-cooled rack production capacity exceeding 3,000 units per month is expected to benefit the broader infrastructure ecosystem.

The bullish scenario assumes continued AI server demand leading to revenue above guidance and margin improvement. The bearish scenario involves margin pressure from supply chain bottlenecks or intensifying competition, with quarterly shipment volumes and backlog burn rates serving as key monitoring indicators.

AI가 생성한 분석으로 투자 자문이 아닙니다.

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