Murata Manufacturing (6981) Report Interpretation

Overview

This site-visit report assesses Murata's high-end MLCC manufacturing capabilities at Fukui Murata Manufacturing's Takefu Plant. JPMorgan concludes that Murata's broad product range, flexible production model, quality systems and AI-server product capabilities support its Overweight view and its expectation of improving MLCC pricing and earnings momentum through FY2027.

Core views

JPMorgan visited Fukui Murata Manufacturing's Takefu Plant on 18 August and concluded that the visit reinforced Murata's competitiveness in high-end MLCCs for IT applications and cutting-edge AI servers. Fukui Murata has four main facilities: the Takefu Plant, Miyazaki Plant, Asuwa Plant and the Ceramic Capacitor R&D Center completed in March 2026. The Takefu Plant has 11 production buildings; the visited Building E mainly produces 1005-size capacitors and performs integrated production from sheet molding through back-end processes. The new 54,450m² Ceramic Capacitor R&D Center consolidates development functions previously spread across sites, freeing former development space for production while also operating as an integrated prototype line that can support prototyping during busy periods. The report highlights Murata's manufacturing advantages. Murata offers about 50,000 MLCC types, compared with about 3,000-10,000 at competitors, and the company cited strong on-time delivery and quality performance. Its job-shop production structure is designed for high-mix output and production flexibility: materials are moved between processes before firing, while automated guided vehicles are used after firing. Employees also conduct intermediate inspections, intended to stop defects from progressing. Because recipes vary by lot, Murata uses production data, big-data analysis and digital technologies to translate prior-process recipe information into production conditions and instructions for later stages. JPMorgan views this as a way to control lot-to-lot quality variation and identify whether problems arise from materials or particular processes. Murata uses batch kilns rather than continuous firing kilns, allowing production conditions to be optimized by lot while supporting high-mix production. It also makes most manufacturing equipment in-house, apart from additive equipment components and assembly. The company said it could increase MLCC production by 20% within current capacity through further productivity and yield improvement using big data and digital tools, then plans to expand capacity by around 10% annually. It also aims to reduce production headcount per unit of output by 10-20% through digital technology and AI. In parallel, Murata is considering transferring products with established production records from Izumo and Fukui to its Thai plant; nearly 100 Thai employees have been sent to Fukui for training to support that start-up. For AI-server MLCCs, the report says demand is moving toward cutting-edge products, although that shift has recently slowed somewhat. Customers recognize the higher value-added nature of these products, and pricing negotiations differ from those for smartphone and automotive applications. Murata says it and two overseas peers hold most patents for cutting-edge AI-server MLCCs, while noting that certain Japanese manufacturers using sheet-punching methods on elastic materials should not automatically be assumed incapable of supplying such products. These advanced MLCCs require additional production steps and tighter quality-optimization conditions; ongoing development means yields remain below conventional products, creating supply constraints across manufacturers. Murata intends to improve yields and productivity in advanced products through digital tools and AI as sufficient operating data accumulate. The company also expects fewer production-line changeover losses because cutting-edge MLCCs have less variety than general products. For embedded AI-server applications, Murata is working on flatness, back-side electrode precision and multiple electrode configurations after past difficulties reaching quality-guarantee agreements with PCB manufacturers. It continues to pursue smaller size and higher capacitance, including thinner green sheets for conventional production, while adjusting output according to embedded-MLCC demand and the balance with external-capacitor demand. JPMorgan expects rapidly expanding AI-server MLCC demand to create tight supply-demand conditions for MLCCs overall from FY2026. On that basis, it forecasts slower MLCC price declines from 2H FY2026 and expects price stabilization, stronger AI-server demand and product-mix improvement to accelerate earnings momentum through FY2027. The December 2026 target price of ¥15,200 is based on JPMorgan's FY2029 EPS estimate of ¥541 and a 28x P/E multiple. The multiple is derived from a 20x Bloomberg consensus-based sector-average P/E as of 10 June, multiplied by Murata's historical 1.4x sector-relative P/E at the prior MLCC-cycle peaks of 2017-18 and 2020-21.

Analysis framework

JPMorgan combines observations from a Takefu Plant visit with management explanations of production processes, capacity plans, yields and AI-server product development. It then links those operating findings to industry supply-demand and pricing expectations, and values the shares using a P/E multiple applied to its FY2029 EPS estimate.

Methodology notes

• Industry AnalysisSupply-demand framework

  MLCC supply-demand and pricing analysis

  The report connects rapidly growing AI-server MLCC demand, limited advanced-product yields and capacity expansion to an expected tightening in overall MLCC supply-demand conditions and slower price declines.

• Valuation methodsP/E and PEG Valuation

  Forward P/E valuation

  JPMorgan derives its ¥15,200 target by applying a 28x P/E multiple to its FY2029 EPS estimate of ¥541, using sector and historical cycle-relative valuation references.

• Industry AnalysisVolume-price decomposition

  Capacity, yield, product mix and pricing drivers

  The report separates output growth from physical capacity expansion by emphasizing productivity and yield gains, then links a richer AI-server mix and stabilizing prices to earnings momentum.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Murata Manufacturing (6981.T)

  Primary covered company and beneficiary of AI-server MLCC demand growth and improving MLCC supply-demand conditions.

  Strengths

  Broad MLCC lineup, strong delivery and quality performance, flexible high-mix production, data-enabled quality optimization and advanced AI-server product capabilities.

  Weaknesses

  Cutting-edge AI-server MLCCs currently have lower yields than conventional products because development remains ongoing.

  Comparison

  Murata offers about 50,000 MLCC types versus roughly 3,000-10,000 at competitors; it says it and two overseas peers hold most patents for cutting-edge AI-server products.

  Risks

  Potential loss of RF FEM market share, renewed widening of battery-business losses, weaker end demand and an AI-cycle peak-out.

Key data

• Current share price¥7,496As of 18 August 2026
• Price target¥15,200December 2026 target
• FY2029 EPS estimate¥541Used in JPMorgan's target-price valuation
• Target P/E multiple28xBased on a 20x sector average and Murata's 1.4x sector-relative P/E at prior MLCC-cycle peaks
• MLCC product lineup50,000 typesVersus about 3,000-10,000 types at competitors
• Potential current-capacity output increase20%Murata says productivity and yield improvements could raise MLCC output by this amount
• Planned capacity growthAround 10% annuallyBeyond productivity and yield gains within current capacity
• Target headcount reduction per unit of output10-20%Murata's stated goal through digital technologies and AI

Impact & implications

JPMorgan believes Murata's manufacturing flexibility, proprietary equipment capability, data-enabled quality control and advanced AI-server MLCC development strengthen its ability to benefit as demand rises. The institution expects tighter MLCC conditions from FY2026, slower price declines from 2H FY2026, and stronger earnings momentum through FY2027 as prices stabilize and the product mix improves.

Risks

• Murata could lose RF FEM market share.
• Battery-business losses could widen again.
• End demand could be weaker than expected because of tight memory supply-demand conditions or other factors.
• The AI cycle could peak out.