Analyst(s): Brendan Burke
Publication Date: August 7, 2026
Lattice Semiconductor’s Q2 FY 2026 earnings show how AI infrastructure demand is increasing field-programmable gate array content across servers, networking, storage, and security use cases. The AMI acquisition adds platform firmware and infrastructure management assets that broaden Lattice’s role in custom ASIC server design.
What Is Covered in This Article:
- Lattice Semiconductor’s Q2 FY 2026 financial results
- AI server demand drives FPGA attach
- AMI expands secure platform control
- Industrial and embedded recovery broadens
- Guidance and Final Thoughts
The News: Lattice Semiconductor (NASDAQ: LSCC) announced Q2 FY 2026 revenue of $201.1 million, up 62.2% year-over-year (YoY), above Wall Street consensus of $185.6 million. Compute and Communications revenue was $126.0 million, up 83% YoY, while Industrial and Embedded revenue was $75.1 million, up 36% YoY. Non-GAAP income from operations was $77.1 million, up 126.2% YoY, with non-GAAP operating margin of 38.3% (Q2 FY 2025: 27.5%). Non-GAAP net income was $74.4 million, up 128.3% YoY. Non-GAAP diluted earnings per share was $0.53, up from $0.24 in Q2 FY 2025.
“The combination of strong customer demand, accelerating backlog, and sustained design win momentum gives us increased confidence in continued market share gains and profitable growth,” said Ford Tamer, Chief Executive Officer. “With the [AMI] acquisition close now behind us, we are pleased to welcome the talented AMI team to Lattice, and look forward to building the most complete secure management and control platform to benefit our customers.”
Lattice Semiconductor Q2 FY 2026: AMI Acquisition Pulls $1 Billion Revenue Rate Up to Q3 2026
Analyst Take: Lattice’s Q2 FY 2026 results show a business moving beyond a cyclical recovery and into an AI infrastructure content expansion cycle. The company is benefiting from higher FPGA attach in servers, broader data center infrastructure demand, and rising security requirements across increasingly disaggregated architectures. AMI adds a software and firmware layer that improves Lattice’s ability to sell into platform management, secure boot, and infrastructure control. The main strategic question now shifts from whether demand is recovering to how much supply, integration execution, and customer commitments can shape the pace of growth into FY 2027.
AI Infrastructure Pulls FPGAs into More Server Content
Lattice’s Compute and Communications strength reflects more than demand for AI accelerators alone. The company is seeing growth across servers, networking, storage, memory support, power, cooling, and control applications tied to AI infrastructure buildouts. Lattice described a 2026 server total addressable market of 20 million units, creating a larger base for FPGA attach. Server growth is running above the broader Compute and Communications segment, which grew 83% YoY in Q2 FY 2026. CPU attach is also becoming a more important driver because one CPU can carry multiple FPGA opportunities in the supporting infrastructure around AI systems. Lattice is increasingly positioned as a companion chip supplier to AI infrastructure, not only as a component supplier to AI servers.
AMI Expands Secure Platform Control
The AMI acquisition gives Lattice a larger role in platform firmware, infrastructure management, and secure control across cloud and AI environments. AMI brings a revenue base expected to exceed $200 million exiting FY 2026, with a business mix of roughly 60% boot firmware and 40% infrastructure manageability. Customer discussions with about 100 hyperscalers, original equipment manufacturers, original design manufacturers, and ecosystem partners point to early validation for combined FPGA and firmware solutions. The business also adds recurring maintenance, subscription revenue, royalties, and platform enablement services, which can improve revenue visibility over long product cycles. AMI will operate as a dedicated business unit, which should help preserve its open, silicon-neutral posture with customers and partners. The acquisition moves Lattice closer to the control plane of AI infrastructure, where firmware, security, and manageability decisions shape platform design wins.
Industrial and Embedded Recovery Broadens Growth Base
Industrial and Embedded growth gives Lattice a second growth engine beyond AI data center demand. Revenue in the segment rose 17% sequentially and 36% YoY, with momentum across industrial automation, aerospace and defense, medical, robotics, autonomous systems, and other physical AI applications. Channel inventory in China has normalized, shifting the operating focus toward supply availability rather than inventory correction. Lattice also has relatively limited automotive exposure, reducing the drag from a weaker automotive end market. AMI can extend Lattice’s position in industrial and embedded systems because these markets require platform firmware, security, and infrastructure manageability in increasingly complex systems. The recovery is becoming more durable as new design wins move beyond traditional industrial demand and into robotics, defense, and physical AI.
Guidance and Final Thoughts
For Q3 FY 2026, Lattice guided FPGA revenue of $210 million to $230 million and total revenue of $245 million to $265 million, including about two months of AMI contribution. AMI revenue for the partial quarter is expected to be $33 million to $37 million. Non-GAAP gross margin is expected to be 69.5%, plus or minus 1%, with non-GAAP operating expenses of $83 million to $90 million. Non-GAAP diluted earnings per share are expected to be $0.54 to $0.58, with the midpoint implying roughly 100% YoY growth. The company also expects AMI to grow about 25% in FY 2027 over its more than $200 million FY 2026 base, before revenue benefits from combined Lattice and AMI offerings.
The pulling forward of the $1 billion annual revenue run rate target to Q3 2026—one quarter ahead of previous expectations—indicates the business is scaling faster than the initial AMI acquisition model assumed. This acceleration is underpinned by AMI outperformance fueled by AI server rack scaling, a core FPGA inflection point as server attach rates rise, and early cross-selling success with hyperscalers, OEMs, ODMs, and neocloud providers following strategic engagement with approximately 100 ecosystem partners.
Lattice is broadening its role in AI infrastructure by extending beyond FPGA silicon into firmware, security, and platform management, increasing its relevance across the server lifecycle rather than a single hardware socket. The AMI acquisition has the potential to strengthen that position if the company successfully integrates its software capabilities while maintaining AMI’s ecosystem neutrality. Longer term, execution will be measured by whether higher FPGA attach rates and cross-selling opportunities translate into sustained design-win momentum across hyperscale, enterprise, and industrial AI deployments.
See the full press release on Lattice Semiconductor’s Q2 FY 2026 financial results on the company website.
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Other Insights From Futurum:
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Author Information
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.

