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Forcecon Technology Co (3483) Fair Value & Analysis

Technology · TW · Market cap 8.9B TWD

Price91.10 TWD
Fair Value75.40 TWD
Upside-17.2%
Quality95/100
Evidence: High Range 48.87 TWD – 94.26 TWD

Fair value as of: Jun 24, 2026

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Analysis

Forcecon Technology Co (3483) currently trades at 91.10 TWD, while our model-based Fair Value estimate is 75.40 TWD — implying the stock looks roughly 17.2% 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

Forcecon Technology Co., Ltd. engages in the research, development, production, and sale of thermal management products in Taiwan and internationally. The company offers axial and blower fans; cold plate liquid cooling products; heat pipes; immersion cooling systems; slim vapor chambers; thermal modules; and vapor chambers. Its products are used in automotive, battery charging and storage, consumer/commercial electronics, datacenter, medical, networking, notebook, semiconductor, server, smartphones, and VGA. The company was founded in 1997 and is based in Zhubei, Taiwan.

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Frequently asked questions

Is Forcecon Technology Co (3483) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 75.40 TWD versus a price of 91.10 TWD — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3483?
Our 21-model fair value for Forcecon Technology Co is 75.40 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 91.10 TWD.
What is the quality score of 3483?
Forcecon 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.