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HORNG SHIUE HOLDING Co (2243) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 2.6B TWD

Price51.00 TWD
Fair Value24.40 TWD
Upside-52.2%
Quality94/100
Evidence: High Range 17.92 TWD – 31.53 TWD

Fair value as of: Jun 24, 2026

Analysis

HORNG SHIUE HOLDING Co (2243) currently trades at 51.00 TWD, while our model-based Fair Value estimate is 24.40 TWD — implying the stock looks roughly 52.2% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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

HORNG SHIUE HOLDING Co., Ltd. engages in the manufacture, processing, and trading of automotive sheet metal stamping dies and gauges in China and internationally. It also provides after sales technical consulting services. The company was founded in 2000 and is headquartered in Grand Cayman, Cayman Islands.

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Frequently asked questions

Is HORNG SHIUE HOLDING Co (2243) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 24.40 TWD versus a price of 51.00 TWD — about −52% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 2243?
Our 21-model fair value for HORNG SHIUE HOLDING Co is 24.40 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 51.00 TWD.
What is the quality score of 2243?
HORNG SHIUE HOLDING Co has a Quality Score of 94/100, 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.