Supermicro Posts $19.9 Billion Quarter as AI Infrastructure Demand Surges

Quick Facts

• Supermicro reported Q1 FY2027 revenue of $19.9 billion, up 298% year-over-year, against a Wall Street estimate of $17.35 billion.
• The company raised its full-year FY2027 revenue guidance to $72 billion to $82 billion, up from a prior range of $65 billion to $72 billion.
• Arista Networks posted Q3 2026 revenue of $3.66 billion, 58.5% year-over-year growth and the highest rate since its IPO.

Both Supermicro and Arista Networks reported earnings after market close on November 3, 2026, and both beat expectations by wide margins, as detailed in the original reporting on the results.

Supermicro's quarter was its largest ever. The San Jose-based server maker posted net sales of $19.95 billion and earnings of $1.81 per share before certain costs, clearing the Street's estimates of $17.35 billion in revenue and $1.23 per share in earnings.

Net income reached $1.594 billion, compared with $168 million in the same quarter a year earlier, according to Supermicro's SEC 8-K filing. The stock gained more than 6% in after-hours trading.

AI Mix Drives Revenue, Pressures Margins

AI solutions accounted for 71% of quarterly revenue, up from 59% the prior quarter. That shift helped drive top-line growth but weighed on profitability. Gross margin came in at 12.8% year-over-year, up from 9.3% a year ago, but fell sharply from 17.5% in Q4 FY2026.

Large AI deployments carry lower margins than enterprise and channel business, and the Q1 mix skewed heavily toward those high-volume deals. The quarter also included approximately $2.3 billion in catch-up revenue from previously delayed deployments.

One unnamed data center customer accounted for 44% of revenue, a concentration risk the company acknowledged. Free cash flow was negative $481 million. Inventory stood at $15.1 billion.

CEO Flags Component Risk but Calls Guidance Conservative

Founder and CEO Charles Liang called the results a continuation of Supermicro's shift to what he described as a total AI and IT data center solution provider. He attributed the gains to enterprise partnerships and expanded global production capacity.

For Q2 FY2027, the company guided for revenue of $19.5 billion to $21.5 billion and earnings of $1.66 to $1.90 per share, well above Wall Street's call for $18.1 billion and $1.14 per share.

Full-year FY2027 guidance was raised to $72 billion to $82 billion, up from $65 billion to $72 billion. That range would represent growth of 85% to 110% over fiscal 2026's $39 billion in revenue. Liang cited potential component shortages and macroeconomic conditions as reasons for caution, adding that the range could prove very conservative if those risks do not materialize.

Manufacturing Scale and Technology Firsts

Supermicro said it is on track to produce more than 8,000 racks per month by December, including more than 4,000 direct-liquid-cooling racks. The company is also scaling to support 240kW racks in volume during FY2027 and said 500kW rack capabilities are coming.

The company disclosed it is first to market shipping NVIDIA Vera Rubin NVL72 racks. Manufacturing expansion is underway in Silicon Valley, Taiwan, and through containerized data center production in Asia and the United States.

On the operational side, Supermicro cut inventory and production turnaround time from roughly 100 days to 74 days over the past three quarters and is targeting 50 days. The company closed FY2026 with more than $60 billion in new orders and entered FY2027 with a record backlog.

Arista Posts Best Growth Since IPO

Arista Networks reported Q3 2026 revenue of $3.66 billion, beating its own guidance of $3.3 billion and growing 58.5% year-over-year. The company said this was its highest year-over-year revenue growth rate since going public.

Arista delivered earnings and revenue surprises of 11.11% and 10% above consensus estimates, respectively. Like Supermicro, the company benefits from sustained capital spending by hyperscalers and enterprises building out AI-ready network infrastructure.

Together, the two earnings reports reinforce that spending on AI infrastructure remains strong heading into the end of 2026. For founders and operators evaluating their own technology stack, the message from the supply side is clear: capacity is expanding, but demand is growing faster.