Citrini's view: AI server demand is driving extreme divergence in MLCC delivery lead times, with high-end products taking up to 10 months to deliver.
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Citrini analyst Jukan noted that MLCC (multi-layer ceramic capacitor) delivery cycles are experiencing severe divergence based on product specifications. Lead times for general-purpose products remain stable at 14 to 18 weeks (roughly 3.5 to 4.5 months), while high-capacitance and high-voltage products take about 4 to 5 months. However, high-end products for AI servers have entered a state of "severe supply tightness". Server-grade MLCCs from Murata and Samsung Electro-Mechanics have delivery times exceeding 20 weeks (over 5 months). Samsung Electro-Mechanics’ average lead time for some high-capacitance products is around 40 weeks, while Murata’s high-capacitance products of 1 microfarad and above saw their July delivery times rise to 30 weeks from 24 weeks in June. Some channel quotations even reach 36 weeks, nearly 10 months. This extreme divergence is expected to persist until the second half of 2026. The core driver of this gap is robust demand from AI servers and data centers: AI servers require 5 to 13 times more high-capacitance, miniaturized, high-reliability MLCCs than traditional servers. New capacity expansion has been delayed from Q4 2026 to 2027, so the supply-demand imbalance is unlikely to ease in the short term. Major manufacturers have simultaneously raised prices and expanded long-term supply agreements. Delivery times exceeding 5 months, even approaching a year, not only signal that manufacturers cannot rapidly boost supply in the short term, but also mark the start of enhanced pricing power and substantial improvements in profitability driven by high-value product portfolios. The AI bottleneck is spreading from GPUs and memory to the smallest components on circuit boards.
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