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Gongin Precision Ind. Co (3178) Fair Value & Analysis

Industrials · TW · Market cap 2.8B TWD

Price67.90 TWD
Fair Value17.69 TWD
Upside-73.9%
Quality95/100
Evidence: Medium Range 13.20 TWD – 26.40 TWD

Fair value as of: Jun 24, 2026

Analysis

Gongin Precision Ind. Co (3178) currently trades at 67.90 TWD, while our model-based Fair Value estimate is 17.69 TWD — implying the stock looks roughly 73.9% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: medium).

About the company

Gongin Precision Ind. Co., Ltd engages in manufacturing, processing, and sale of various molds, special machinery, electronic components, and molds for aircraft engines and structures in Taiwan and Mainland China. The company was founded in 1967 and is based in Kaohsiung, Taiwan.

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Frequently asked questions

Is Gongin Precision Ind. Co (3178) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17.69 TWD versus a price of 67.90 TWD — about −74% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3178?
Our 21-model fair value for Gongin Precision Ind. Co is 17.69 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 67.90 TWD.
What is the quality score of 3178?
Gongin Precision Ind. 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.