Astera Labs Q1 FY 2026 Earnings Highlight Scale-Up Switching Ramp

Astera Labs Q1 FY 2026 Earnings Highlight Scale-Up Switching Ramp

Analyst(s): Brendan Burke
Publication Date: May 11, 2026

Astera Labs’ quarter reflected accelerating adoption of PCIe Gen 6 and early scale-up fabric shipments as customers expand AI rack deployments. Management positioned Scorpio’s scale-up roadmap, optics, and custom CXL applications as the next set of growth vectors as product mix shifts through the second half.

What is Covered in This Article:

  • Astera Labs’ Q1 FY 2026 financial results
  • PCIe Gen 6 grows mix
  • Scorpio scale-up moves to volume
  • Optics and custom program cadence
  • Guidance and Final Thoughts

The News: Astera Labs (Nasdaq: ALAB) announced financial results for Q1 FY 2026. Revenue was $308.4 million, up 93% YoY and above consensus of $292.2 million. Non-GAAP gross margin was 76.4%, up 150 basis points YoY. Non-GAAP operating income was $111.7 million, up 107.9% YoY, and non-GAAP operating margin was 36.2%, up 250 basis points YoY. Non-GAAP net income was $110.1 million, up 84.6% YoY. Non-GAAP diluted earnings per share was $0.61, up 84.8% YoY.

“Astera Labs delivered strong Q1 2026 financial results with revenue growing by 14% sequentially and 93% year-over-year to a record level of $308.4 million, driven by robust demand for our PCIe 6 portfolio,” said Jitendra Mohan, Astera Labs’ Chief Executive Officer. “Adoption of our Intelligent Connectivity Platform continues to expand with the launch and initial shipments of our new Scorpio™ X-Series 320-lane AI scale-up fabric switch, new design engagements for custom and optical solutions, and growing market share for our broad portfolio of 32 to 320 lane PCIe switches and Smart Cable Modules. We believe the opportunity ahead is significant, and we are investing to be a leader for rack-scale AI technologies in close partnership with our customers.”

Astera Labs Q1 FY 2026 Earnings Highlight Scale-Up Switching Ramp

Analyst Take: Astera Labs used Q1 FY 2026 to show that AI connectivity spend is broadening beyond retimers into fabric-class silicon and module content. PCIe 6.0 moved to more than one-third of revenue, which signals customers are no longer treating Gen 6 as limited trial capacity. The company also used the quarter to expand Scorpio’s attach into scale-up and scale-out use cases, with initial production volumes already shipping. The company is now positioning its connectivity portfolio as a driver of time-to-first-token and tokens-per-watt mterics, suggesting an expanded role in open data center fabrics as the product portfolio expands.

PCIe 6 Mix and Portfolio Breadth

PCIe 6 contributed more than one-third of company revenue in Q1 FY 2026 across AI fabric and signal conditioning. Management tied that mix shift to growth across Aries Smart DSP Retimers for scale-out and scale-up signal conditioning and continued Taurus Smart Cable module demand for Ethernet reach extension. The key point is that PCIe 6 is now supporting multiple platform types, not a single ramp tied to one architecture. That breadth reduces the chance that one program delay resets the company’s near-term growth profile. It also raises expectations that the company can keep adding content as customers adopt mixed topologies that need both retiming and switching. The revenue mix now implies growth will move with platform transitions, not just unit volumes.

Scorpio X-Series Scale-Up Ramp and Product Transition

Scorpio X-Series began shipping in initial production volumes during Q1 FY 2026, and management expects shipments to increase in Q2 with the new Scorpio X 320-lane product entering initial shipments. The company expects production volumes of the 320-lane Scorpio X to ramp in the second half of FY 2026. Management also expects Scorpio to become its largest product line by the end of FY 2026, after being 15% of revenue in FY 2025. That shift matters because scale-up switching economics and dollar content can move faster than the retimer cycle once customers commit to cluster-scale designs. It also changes the competitive frame toward feature differentiation such as in-network compute and Hypercast rather than only port counts. Scorpio’s mix shift will become the clearest indicator of whether Astera is becoming a fabric silicon provider or staying mainly an IO component supplier.

Optics and Custom Programs Move The Next Growth Horizon

Management described optics as a staged ramp, with NPO-style opportunities starting in FY 2027 and more mainstream CPO deployments targeted around FY 2028. The company said it has invested in optical building blocks through internal capability development and the aiXscale acquisition, while also focusing on supply chain readiness to ship for revenue. On custom programs, management pointed to work on NVLink Fusion-related devices in collaboration with NVIDIA and a hyperscaler, with revenue contribution expected in FY 2027.

The company also described KV Cache offload as a growing inference-driven opportunity, including a design win using a customized version of Leo CXL Smart Memory Controller. These programs signal the company is trying to attach to platform-level design decisions earlier in the lifecycle. The custom CXL application and optical timelines are long enough that execution consistency through FY 2026 remains a prior concern.

Guidance and Final Thoughts

For Q2 FY 2026, Astera Labs guided revenue of $355.0 million to $365.0 million versus the consensus of $310.3 million. Management guided non-GAAP gross margin of approximately 73%, including an estimated 200 basis point non-cash impact tied to a customer warrant agreement, and non-GAAP operating expenses of $128.0 million to $131.0 million. Management guided non-GAAP diluted earnings per share of $0.68 to $0.70 on approximately 184.0 million diluted shares. The near-term watch item is whether Scorpio X high-radix volumes and PCIe Gen 6 mix can grow while gross margin absorbs warrant-related impacts and higher investment levels.

See the full press release on Astera Labs’ Q1 FY 2026 financial results on the company website.

Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.

Other Insights From Futurum:

Astera Labs’ Scorpio Switch Family Adds Hardware Engines to Lift the Interconnect Ceiling for LLMs

Astera Labs Q4 2025 Earnings: Diversified AI Connectivity Momentum

Tenstorrent’s Galaxy Blackhole: Can RISC-V Processors Expand Fast Inference Globally?

Author Information

Brendan Burke, Research Director

Brendan is Research Director, Semiconductors, Supply Chain, and Emerging Tech. He advises clients on strategic initiatives and leads the Futurum Semiconductors Practice. He is an experienced tech industry analyst who has guided tech leaders in identifying market opportunities spanning edge processors, generative AI applications, and hyperscale data centers. 

Before joining Futurum, Brendan consulted with global AI leaders and served as a Senior Analyst in Emerging Technology Research at PitchBook. At PitchBook, he developed market intelligence tools for AI, highlighted by one of the industry’s most comprehensive AI semiconductor market landscapes encompassing both public and private companies. He has advised Fortune 100 tech giants, growth-stage innovators, global investors, and leading market research firms. Before PitchBook, he led research teams in tech investment banking and market research.

Brendan is based in Seattle, Washington. He has a Bachelor of Arts Degree from Amherst College.

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