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We Can Medicines Co (6929) Fair Value & Analysis

Consumer Defensive · TW · Market cap 1.1B TWD

Price24.60 TWD
Fair Value55.73 TWD
Upside+126.5%
Quality95/100
Evidence: Medium Range 40.75 TWD – 70.06 TWD

Fair value as of: Jun 25, 2026

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Analysis

We Can Medicines Co (6929) currently trades at 24.60 TWD, while our model-based Fair Value estimate is 55.73 TWD — implying the stock looks roughly 126.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium) — always confirm before acting.

About the company

We Can Medicines Co., Ltd. operates a chain of drug stores in Taiwan. The company offers medicine, health food, maternal and baby product, beauty care products, and medical equipment. It sells its products through retail stores and online under the VITALPLUS and Sapporo brands. The company was formerly known as Shenglin Pharmaceutical Co., Ltd. The company was founded in 1972 and is headquartered in Taichung, Taiwan. We Can Medicines Co., Ltd. operates as a subsidiary of Yousheng Medical Technology Co., Ltd.

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Frequently asked questions

Is We Can Medicines Co (6929) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 55.73 TWD versus a price of 24.60 TWD — about +127% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6929?
Our 21-model fair value for We Can Medicines Co is 55.73 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 24.60 TWD.
What is the quality score of 6929?
We Can Medicines 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.