Alps Alpine Co (APELY) Fair Value & Analysis
Technology · US · Market cap $2.6B
Analysis
Alps Alpine Co (APELY) currently trades at $26.10, while our model-based Fair Value estimate is $42.79 — implying the stock looks roughly 63.9% undervalued today. We read business quality at 96/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Alps Alpine Co., Ltd. manufactures and sells electronic components in Japan, China, the United States, South Korea, and internationally. It operates through three segments: Component, Sensor and Communication, and Module and System. The company offers TACT switches, potentiometers, HAPTIC reactors, actuators, microfluidic device, and aspherical glass lens for automobiles, consumer appliances, mobile phones and video games. It also provides current, pressure, millimeter-wave, and magnetic sensors; and remote and analog meter monitoring systems, communication modules, and capacitive sensing modules for automotive, consumer, and industrial machinery markets. In addition, the company integrated displays, sound systems, electric shifters, power window switches, cabin controllers, functional surfaces, amplifiers and speakers, alpine premium sound systems, and customized car products. Further, it provides systems development, office, and financing and leasing services, as well as solution …
Open the full interactive analysis →
Similar stocks
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.