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Force MOS Technology Co (4923) Fair Value & Analysis

Technology · TW · Market cap 1.6B TWD

Price63.30 TWD
Fair Value73.71 TWD
Upside+16.4%
Quality95/100
Evidence: Low Range 55.28 TWD – 92.13 TWD

Fair value as of: Jun 24, 2026

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Analysis

Force MOS Technology Co (4923) currently trades at 63.30 TWD, while our model-based Fair Value estimate is 73.71 TWD — implying the stock looks roughly 16.4% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.

About the company

Force MOS Technology Co., LTD. engages in the design, development, and sale of MOSFETs and analog integrated circuits in Taiwan and Mainland China. The company offers analog integrated circuits, MOSFETs, Schottky diodes, and passive components; bipolar transistors; diodes and rectifiers; and power management products, such as ESC and TVS. Its products are used in lithium battery charge and discharge protection application CSP design. Force MOS Technology Co., LTD. was founded in 2007 and is based in New Taipei City, Taiwan.

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Frequently asked questions

Is Force MOS Technology Co (4923) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 73.71 TWD versus a price of 63.30 TWD — about +16% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 4923?
Our 21-model fair value for Force MOS Technology Co is 73.71 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 63.30 TWD.
What is the quality score of 4923?
Force MOS Technology Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.