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Shih Her Technologies Inc (3551) Fair Value & Analysis

Technology · TW · Market cap 11.9B TWD

Price204.50 TWD
Fair Value88.54 TWD
Upside-56.7%
Quality95/100
Evidence: High Range 70.63 TWD – 129.86 TWD

Fair value as of: Jun 24, 2026

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Analysis

Shih Her Technologies Inc (3551) currently trades at 204.50 TWD, while our model-based Fair Value estimate is 88.54 TWD — implying the stock looks roughly 56.7% 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

Shih Her Technologies Inc. provides precision clean and reborn treatment for semiconductor, photoelectricity, and solar energy's manufacturing equipment parts. The company was founded in 1977 and is headquartered in Hsinchu City, Taiwan.

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Frequently asked questions

Is Shih Her Technologies Inc (3551) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 88.54 TWD versus a price of 204.50 TWD — about −57% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 3551?
Our 21-model fair value for Shih Her Technologies Inc is 88.54 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 204.50 TWD.
What is the quality score of 3551?
Shih Her Technologies Inc 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.