Sensata Technologies Holding (ST) Fair Value & Analysis
Technology · US · Market cap $7.7B
Analysis
Sensata Technologies Holding (ST) currently trades at $48.81, while our model-based Fair Value estimate is $29.69 — implying the stock looks roughly 39.2% overvalued today. We read business quality at 95/100 (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
Sensata Technologies Holding plc develops, manufactures, and sells sensors and sensor-rich solutions, electrical protection components and systems, and other products used in mission-critical systems and applications in the United States, Europe, Asia, and internationally. It operates through three segments: Automotive; Industrials; and Aerospace, Defense, and Commercial Equipment. The company offers sensors, contactors/fuses, switching and protection devices and solutions, distribution modules, bimetal electromechanical controls, circuit breakers, switches and relays, energy storage systems, rectifiers and frequency converters, power conversion systems, battery management system, charging inlet modules, and brushless DC motors. It offers its products for thermal management and air conditioning systems; powertrain; exhaust after-treatment; suspension, braking; tire management solutions; battery packs; electrical protection; electrical powertrain; battery packs; charging systems; mot…
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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.