Fitipower Integrated Technology Inc (4961) Fair Value & Analysis
Technology · TW · Market cap 19.9B TWD
Analysis
Fitipower Integrated Technology Inc (4961) currently trades at 177.00 TWD, while our model-based Fair Value estimate is 195.27 TWD — implying the stock looks roughly 10.3% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Fitipower Integrated Technology Inc. engages in the research, design, development, production, and sale of display screen integrated circuits (ICs) and power management ICs in Taiwan. It offers LCD driver, LED driver, and E paper display driver ICs; and power management IC products comprising EPD panel power, switching regulator, LED driver, motor driver IC, USB power switch IC, reset IC, Li-on charger IC, and low dropout regulator; and other related semiconductor solutions. The company also provides smart mobile terminal display driver chip, camera voice coil motor driver chip, fast charging protocol chip, and electronic price tag driver chip solutions The company's products are used for various applications consisting of personal consumer, Internet of Things, automotive, communications, and industrial and commercial markets. Fitipower Integrated Technology Inc. was incorporated in 1995 and is headquartered in Hsinchu City, Taiwan.
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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.