Morgan Stanley's 14th Annual Laguna Conference
Logotype for QuantumScape Corporation

QuantumScape (QS) Morgan Stanley's 14th Annual Laguna Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for QuantumScape Corporation

Morgan Stanley's 14th Annual Laguna Conference summary

16 Sep, 2026

Commercialization progress and product development

  • Launched the QSE-5 solid-state lithium-metal battery cell, offering 844 Wh/L and 301 Wh/kg, with rapid charging from 10% to 80% in 12.2 minutes and strong safety performance compared to lithium-ion cells.

  • Achieved 90% uptime on the new Eagle Line automated pilot line, with a goal to double output by year-end 2026 to meet growing customer demand.

  • Business model focuses on capital-light licensing and development agreements with top-tier OEMs, aiming for technology transfer and higher-margin licensing revenues.

  • Amended the collaboration agreement with VW PowerCo, reducing billings from $131M to $75M due to lower costs and the cancellation of the MotoE race program, reallocating resources to automotive and next-gen products.

  • Expanded customer base to include four of the top 10 global OEMs, with geographic coverage across North America, Europe, and Asia.

Expansion into new verticals

  • Added data center and Advanced Solutions (aerospace, defense, robotics, consumer electronics, medical devices) as new customer verticals beyond automotive.

  • Data center applications target in-rack battery backup units for GPUs, offering compact, powerful, and safe solutions with potential for faster qualification and commercialization than automotive.

  • Advanced Solutions vertical shipped samples to a U.S. defense prime, emphasizing energy density, safety, and elimination of graphite, which reduces reliance on Chinese supply chains.

  • Early-stage discussions underway with data center architects and ODMs, with expectations for low single-digit billion-dollar opportunities by 2030.

  • Qualification timelines in new verticals are expected to be faster than automotive due to less stringent lifetime requirements and faster-moving customers.

Manufacturing and operational learnings

  • High-volume automated production has accelerated learning cycles, enabling rapid identification and resolution of yield and process issues.

  • Equipment development is complex, requiring iterative, methodical work to adapt both conventional and proprietary tools for scale.

  • Positive feedback from partners and ecosystem validates the technology platform, which integrates cell design, equipment, processes, materials, and supply chain.

  • Internal focus on increasing uptime, yield, and process maturity to maximize output from existing equipment.

  • Strategic partner selection and IP protection are prioritized, especially in defense and non-China supply chains.

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