AI Demand Drives Surge in Chinese MLCC Manufacturers' Stock Prices
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Soaring demand for high-capacity MLCCs — driven by AI data-center buildouts — has sent Chinese MLCC makers' shares sharply higher this week, with some stocks up 130 % to 180 % year-to-date.
What are MLCCs, and why do they matter for AI?
MLCCs — multilayer ceramic capacitors, rice-grain-sized components used by the hundreds on virtually every circuit board — are called "the rice of the electronics industry."
AI servers and data centers draw enormous power and need more, higher-capacity MLCCs to stabilize voltage and signals. This means → the faster AI infrastructure scales, the more MLCCs it consumes — and high-capacity models are especially tight.
Which stocks surged the most?
Fenghua Advanced Technology (Shenzhen-listed) hit the exchange's 10 % daily limit again on Wednesday morning — its second limit-up this week — and is now up over 180 % year-to-date.
Suzhou Good-Ark Electronics (Shanghai STAR Market) rose 20 % to hit its daily limit; Chaozhou Three-Circle Group gained about 8 % in Shenzhen, up over 130 % YTD, with its Hong Kong shares rising 5 % in tandem.
Upstream material suppliers also benefited: Jiangsu Boqian New Materials rose nearly 6 % and Shandong Sinocera Functional Material gained about 3.5 %.
How strong is demand, really?
A Tuesday report from TrendForce showed the world's top three MLCC suppliers — Japan's Murata Manufacturing, South Korea's Samsung Electro-Mechanics, and Japan's Taiyo Yuden — hit near-five-year-high monthly shipments in June.
In plain terms = even the global leaders are running at full capacity, signaling that the entire supply chain is stretched, not just a pocket of regional demand.
What triggered this rally?
The immediate catalyst is explosive first-half earnings from Chinese MLCC makers, with both supply and demand sides firing at once.
This means → the share-price rally is not purely expectation-driven — it is backed by profits already on the books.
Can the rally last?
The answer hinges on a race between two variables: the pace of AI infrastructure investment vs the speed of global MLCC capacity expansion.
In plain terms = if AI buildouts keep accelerating while new capacity lags behind, the supply–demand gap widens and the rally has support; if capacity comes online in a wave, both prices and share prices could pull back.
Content is for reference only, not financial advice.