QBit Semiconductor Lists on Taiwan Emerging Stock Board with $700 Million Valuation
QBit Semiconductor Ltd. (TWO: 7913) was officially listed on the Taiwan Emerging Stock Board on May 15, announced in a press release. The fabless semiconductor company reached a market capitalization of about USD 700 million after its stock rose to an intraday high of NT$530, or roughly $18 per share.
Backed by Arm and Taiwan's National Development Fund, QBit focuses on System on Chip design that integrates intelligent image processing, precision motion control, and energy-aware sensing management. Its chips are used in multi-function printers, photo and barcode printers, and medical imaging devices, with plans to expand into edge AI and robotics applications.
The company has also integrated post-quantum cryptography into its SoC products. Its QB7 series received certification from the U.S. National Institute of Standards and Technology Cryptographic Algorithm Validation Program in 2025. QBit is expanding its portfolio to include security chips and ASIC services, strengthening its position in secure hardware and consumable authentication solutions.
QBit's R&D team includes veterans from Qualcomm and CSR. The company stated that it will continue to build its research capacity and market presence following its public listing.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
More from: Funding
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more