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TYC Brother Industrial Co (1522) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 9.7B TWD

Price30.50 TWD
Fair Value42.16 TWD
Upside+38.2%
Quality93/100
Evidence: High Range 30.30 TWD – 52.70 TWD

Fair value as of: Jun 24, 2026

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Analysis

TYC Brother Industrial Co (1522) currently trades at 30.50 TWD, while our model-based Fair Value estimate is 42.16 TWD — implying the stock looks roughly 38.2% undervalued today. We read business quality at 93/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

TYC Brother Industrial Co., Ltd. engages in the manufacture and sale of vehicle lighting products in Taiwan. It provides car lights, mirrors, cooling fans, radiators, condensers, blowers, and window regulators. The company was founded in 1986 and is headquartered in Tainan City, Taiwan.

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Frequently asked questions

Is TYC Brother Industrial Co (1522) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 42.16 TWD versus a price of 30.50 TWD — about +38% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 1522?
Our 21-model fair value for TYC Brother Industrial Co is 42.16 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 30.50 TWD.
What is the quality score of 1522?
TYC Brother Industrial Co has a Quality Score of 93/100, 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.