Bank of America analysts are flagging an opportunity in multilayer ceramic capacitor (MLCC) manufacturers after a pronounced downturn in the group, saying the parts have become a critical constraint in the AI server supply chain as computational hardware grows more power intensive.
The research team views the recent pullback as an entry point. According to their analysis, leading MLCC producers have seen share prices fall roughly 50-60% from prior levels. To express their thesis, the bank designed a layered trade that aggregates exposure to three MLCC makers across Asia and that, under the bank's assumptions, offers substantial upside with tightly defined downside.
Bank of America quantified the structure as offering up to 23x upside potential while limiting maximum loss to 1.32%, on the assumption that the weakest stock in the basket does not fall an additional 50%. The analysts described that asymmetric risk-reward as central to investing in what they continue to classify as a high-risk segment of the AI ecosystem.
Why MLCCs matter
MLCCs are passive electronic components used across circuit boards. In the context of AI infrastructure, the bank highlighted their role as a potential bottleneck because server hardware is becoming increasingly power intensive. Higher power requirements in servers can raise demand for capacitors with specific performance and reliability characteristics, the analysts noted.
The three names
- Murata - The Japanese manufacturer is Bank of America’s top pick among the MLCC producers covered. The firm represents Japan’s footprint in global MLCC production. The company has guided a large increase in AI and data center-related sales, planning an 85-90% year-over-year rise for the fiscal year ending March 2027, driven by higher volumes and an improved product mix.
- Samsung Electro-Mechanics - The Korean producer takes the second ranking in the bank’s list and provides exposure to Korea’s role as a manufacturing hub for MLCCs.
- Yageo - The Taiwan-based manufacturer completes the trio, supplying representation of Taiwan’s position in the regional production map.
Bank of America’s proposed trade structure combines all three manufacturers to capture geographic diversification across the primary MLCC production centers in Asia. The aim is to participate in potential upside if AI server demand drives renewed component scarcity while constraining downside through the structured approach.
Analysts' emphasis
The research note emphasized that the sector remains high risk despite the attractive risk-reward presented by the recent drawdown. The structured trade is designed to limit losses while preserving the possibility of significant gains, contingent on stabilization or recovery in the MLCC segment as AI server demand continues to shape component requirements.
Investors should evaluate the assumptions behind the structure, including the scenario in which the worst-performing name does not decline by an additional 50%, which is central to the stated maximum loss figure.