TDK Corporation (TTDKF) Fair Value & Analysis
Technology · US · Market cap $50.0B
Analysis
TDK Corporation (TTDKF) currently trades at $22.30, while our model-based Fair Value estimate is $12.86 — implying the stock looks roughly 42.3% overvalued today. We read business quality at 96/100 (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
TDK Corporation, together with its subsidiaries, engages in the manufacture and sale of electronic components in Japan, Europe, China, Asia, the Americas, and internationally. The company operates through Passive Components, Sensor Application Products, Magnetic Application Products, Energy Application Products, and Others segments. The Passive Components segment offers ceramic capacitors, aluminum electrolytic capacitors, film capacitors, high-frequency components, piezoelectric material products, and circuit protection components, as well as inductive devices, including ferrite cores, coils, and transformers. The Sensor Application Products segment provides temperature and pressure, magnetic, and MEMS sensors. The Magnetic Application Products segment offers hard disk drives(HDD) heads, HDD suspension assemblies, and magnets. The Energy Application Products segment provides energy devices comprising rechargeable batteries and power supplies. The Other segment offers mechatronics p…
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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.