Murata Manufacturing Co (MRAAY) Fair Value & Analysis
Technology · US · Market cap $135B
Analysis
Murata Manufacturing Co (MRAAY) currently trades at $33.93, while our model-based Fair Value estimate is $8.61 — implying the stock looks roughly 74.6% overvalued today. We read business quality at 97/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Murata Manufacturing Co., Ltd. develops, manufactures, and sells ceramic-based passive electronic components and solutions in Japan and internationally. It operates through three segments: Components, Devices & Modules, and Other. The company offers capacitors; inductors; high frequency device and communication modules, including surface acoustic wave filters, RF modules, multilayer resin substrates, and connectivity modules; lithium-ion secondary batteries; and sensors; antennas and related products; baluns; and batteries. It also offers Femtet, a CAE software; capacitors; cell fractionation filters; connectivity modules; connectors; couplers; digital panel meters; filters; front-end modules; inductors; ionizers; micro mechatronics; watch batteries; noise suppression products; and optical devices. In addition, the company provides phase shifters, power products, printed circuit products, resistors, RF switches, RFID products, sensors, sound components, thermistors, timing devices, …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.