Quanta Computer Stock Falls Below Ex-Dividend Price Amid AI Expansion
Translated from Chinese, summarized and contextualized by DistantNews.
At a glance
- Taiwanese electronics manufacturer Quanta Computer's stock fell below its ex-dividend price on its first day of trading after the dividend payout.
- The company's subsidiary, Cloud Network Technology (QCT), is expanding its AI server production capacity, with new factories planned in the U.S. and Thailand.
- QCT is a key partner for NVIDIA, supplying AI server platforms and expecting significant shipments of new products later this year and into 2026.
Quanta Computer (2382), a major Taiwanese electronics manufacturer, saw its stock price fall below its ex-dividend reference price on July 16, trading at 351 New Taiwan dollars and experiencing a 3.97% drop amid a broader market downturn. The stock's reference price after its 15.6 New Taiwan dollar dividend payout was 365.5 New Taiwan dollars.
Despite the stock's performance, Quanta's subsidiary, Cloud Network Technology (QCT), is aggressively expanding its artificial intelligence server production. QCT is a significant partner for NVIDIA, deeply involved in the evolution of its AI server platforms. Key upcoming products include the Vera CPU and Rubin GPU server platforms, with the Rubin NVL72 expected to begin small-scale shipments in the third quarter and larger volumes by the end of the year or early 2026.
QCT currently supplies thousands of AI-ready server units to major cloud service providers globally. Its production facilities are strategically located across Taiwan, Thailand, the United States, and Europe, enabling it to navigate geopolitical risks and supply chain disruptions. The company plans to open three new factories in California by the end of 2024 and is expanding surface-mount technology (SMT) production lines at its Thailand facility.
These expansions are projected to double Quanta's global production capacity by 2026. The company's strategic investments in AI infrastructure underscore its commitment to meeting the growing demand for high-performance computing solutions in the rapidly evolving AI landscape.
Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.