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Ofuna Technology Co (4577) Fair Value & Analysis

Industrials · TW · Market cap 4.2B TWD

Price105.50 TWD
Fair Value87.07 TWD
Upside-17.5%
Quality95/100
Evidence: Medium Range 65.30 TWD – 87.07 TWD

Fair value as of: Jun 24, 2026

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Analysis

Ofuna Technology Co (4577) currently trades at 105.50 TWD, while our model-based Fair Value estimate is 87.07 TWD — implying the stock looks roughly 17.5% 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

Ofuna Technology Co., Ltd. designs, manufactures, and sells drilling machines and related services in Taiwan, China, and Japan. The company provides laser drilling machines; precision spindles; molding machines and cleaning machines for printed circuit boards; processes, sells, and repairs and maintenance services for various printed circuit boards; and import and export trade of products and parts. It also offers overseas investment company equipment; sales and maintenance business; and printed circuit board equipment repairs. The company was founded in 1980 and is based in Taichung, Taiwan.

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Frequently asked questions

Is Ofuna Technology Co (4577) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 87.07 TWD versus a price of 105.50 TWD — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 4577?
Our 21-model fair value for Ofuna Technology Co is 87.07 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 105.50 TWD.
What is the quality score of 4577?
Ofuna 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.