Stock Markets February 3, 2026

Super Micro Lifts 2026 Revenue Target as Demand for AI Servers Remains Strong

Server maker boosts fiscal guidance and reports a quarter of revenue above estimates as cloud and enterprise orders stay firm

By Priya Menon SMCI
Super Micro Lifts 2026 Revenue Target as Demand for AI Servers Remains Strong
SMCI

Super Micro Computer raised its fiscal 2026 revenue outlook to at least $40 billion from a prior $36 billion, citing continued strong orders for AI-optimized servers from large data center and enterprise customers. The company reported second-quarter revenue well above analyst expectations, flagged a portion of shipments delayed into the first quarter, and forecast third-quarter revenue ahead of consensus. Management said operational improvements and its Datacenter Building Block Solution will help support margin recovery over time despite near-term cost pressures.

Key Points

  • Super Micro raised fiscal 2026 revenue guidance to at least $40 billion from $36 billion, citing continued demand for AI-optimized servers - impacts cloud, data center and enterprise IT spending.
  • Second-quarter revenue was $12.68 billion, above analysts' average estimate of $10.23 billion; roughly $1.5 billion of that reflected shipments delayed from the first quarter - affects revenue recognition and supply-chain timing.
  • Management expects third-quarter revenue of about $12.3 billion versus an estimate of $10.17 billion and highlighted operational initiatives and the Datacenter Building Block Solution as drivers of future margin expansion - relevant to server manufacturing and systems integration sectors.

Super Micro Computer on Tuesday increased its revenue forecast for fiscal year 2026, saying it now expects at least $40 billion in sales, up from an earlier projection of $36 billion. The San Jose, California-based server maker said continued robust demand for AI-optimized systems from large data center and enterprise customers underpins the revised outlook.

Shares of the company rose more than 5% in extended trading after the announcement.

Super Micro has positioned itself as a key supplier to organizations investing in generative artificial intelligence workloads, working closely with chip designers such as Nvidia and Advanced Micro Devices to accelerate the introduction of ready-to-deploy servers. Industry observers highlighted the company’s role as an integrator for major cloud and AI customers and its ability to align inventory and delivery with customer rollout schedules.

Gadjo Sevilla, a technology analyst at Emarketer, described Super Micro’s growth as tied to its importance as an integrator to large cloud and AI customers. Sevilla added that securing long-term engagements and matching inventory to rollout timelines helps the company meet demand ahead of production and reduces volatility. The company’s capacity to rapidly ship fully integrated systems using Nvidia’s latest GPUs has been an important factor in its recent performance, industry observers said.


On a post-earnings call, Chief Financial Officer David Weigand said, "Order strength remains strong from large global data center and enterprise customers." Management reported second-quarter revenue of $12.68 billion for the period ended December 31, topping the analysts’ consensus estimate of $10.23 billion based on data compiled by LSEG.

Company disclosure noted approximately $1.5 billion of revenue in the reported quarter reflected shipments that had been delayed from the first quarter because customers were not yet ready to receive equipment. Looking ahead, Super Micro expects third-quarter revenue of about $12.3 billion, which also exceeds the consensus estimate of $10.17 billion.

Despite upbeat sales, executives cautioned that margins face near-term headwinds from tariffs, facility operating costs and component shortages. Chief Executive Officer Charles Liang stated that the company’s enterprise strategy, operational improvements and growth in the Datacenter Building Block Solution are expected to contribute to margin expansion over time.

The company’s revised full-year revenue target and the beats on quarterly revenue underscore the strong demand environment for AI-capable servers, while management pointed to several cost pressures that may temper margin performance in the near term.

Risks

  • Near-term margin pressure from tariffs, facility costs and component shortages could constrain profitability even as revenue grows - impacts corporate margins in the hardware and data center sectors.
  • A portion of reported revenue was from shipments delayed due to customer readiness, which introduces timing risk to future quarters and working-capital dynamics - affects revenue smoothing and supply-chain planning.
  • Concentration of demand from large global data center and enterprise customers could create exposure to shifts in their rollout schedules or procurement priorities - relevant to cloud providers and large enterprise IT spend.

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