Super Micro Computer reports record $60 billion backlog in Q4 2026
The company’s fiscal fourth-quarter update highlights improved profitability and sustained demand for AI hardware, benefiting partner Nvidia.
Super Micro Computer has released preliminary financial results for its fiscal fourth quarter ended June 30, 2026, reporting a record backlog of over $60 billion in new orders. The company estimates revenue at the lower end of its guidance range, between $11 billion and $12.5 billion, while projecting a significant expansion in gross margins to 15%–17%. This represents a substantial increase from the previously guided range of 8.2% to 8.4%.
The preliminary update marks a notable shift in operational performance for the server and networking equipment provider. After facing headwinds in recent years, including delays in filing its annual report due to internal accounting reviews and allegations of export control violations, the company is demonstrating improved profitability metrics. The margin expansion underscores stronger operational discipline and the ability to capture higher-value business in the competitive AI infrastructure market.
Super Micro’s systems are critical for training and deploying artificial intelligence models, involving joint co-engineering efforts with partner Nvidia. The company integrates Nvidia’s graphics processing units into server platforms and rack-scale solutions, managing complex requirements around power delivery, thermal management, and liquid cooling. By producing turnkey hardware that combines Nvidia’s accelerators with its own architecture, Super Micro assists hyperscalers in accelerating deployment timelines for massive AI clusters.
The record backlog of over $60 billion provides the company with multi-quarter revenue visibility and reflects sustained customer commitments amid an accelerating AI infrastructure build-out. This order momentum serves as a direct indicator of strong demand for AI compute, which benefits Nvidia through increased sales of GPUs integrated into Super Micro’s server platforms. The results reinforce the scale of AI adoption and support Nvidia’s central role as an essential enabler of this growth.
While the financial figures are preliminary and subject to change upon final audit and filing, the data highlights a potential inflection point for Super Micro. The combination of robust order intake and improved margins suggests that the broader AI infrastructure environment remains in expansion mode, reducing concerns about demand digestion and validating the sector’s continued investment trajectory.
