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Her Chee Industrial Co (8937) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 10.2B TWD

Price29.40 TWD
Fair Value24.75 TWD
Upside-15.8%
Quality94/100
Evidence: Low Range 18.56 TWD – 30.93 TWD

Fair value as of: Jun 24, 2026

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Analysis

Her Chee Industrial Co (8937) currently trades at 29.40 TWD, while our model-based Fair Value estimate is 24.75 TWD — implying the stock looks roughly 15.8% 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: low).

About the company

Her Chee Industrial Co., Ltd. manufactures and sells professional vehicles under the ADLY moto brand name in Taiwan. The company offers ATV utility and sports vehicles, and agro-delivery ATVs, scooters, as well as electric vehicles. It also provides locomotives, locomotive leads, electric locomotives, and other means of transportation. The company is involved in land development, energy storage service, and vessel leasing. It also exports its products. The company was founded in 1976 and is based in Chiayi, Taiwan.

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Frequently asked questions

Is Her Chee Industrial Co (8937) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 24.75 TWD versus a price of 29.40 TWD — about −16% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 8937?
Our 21-model fair value for Her Chee Industrial Co is 24.75 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 29.40 TWD.
What is the quality score of 8937?
Her Chee Industrial 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.