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BIONET Corp (1784) Fair Value & Analysis

Healthcare · TW · Market cap 3.5B TWD

Price66.80 TWD
Fair Value17.09 TWD
Upside-74.4%
Quality80/100
Evidence: Medium Range 13.53 TWD – 20.83 TWD

Fair value as of: Jun 24, 2026

Analysis

BIONET Corp (1784) currently trades at 66.80 TWD, while our model-based Fair Value estimate is 17.09 TWD — implying the stock looks roughly 74.4% overvalued today. We read business quality at 80/100 (high quality), in the Healthcare 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: medium).

About the company

BIONET Corp. engages in the cell therapy business in Taiwan and internationally. The company offers stem cell banking services, such as stem cell storage, mesenchymal stem cell storage, dental stem cell storage, adipose stem cell, and PBSC and immune cells; and genetic testing services. It also provides storage and application of hematopoietic stem cells; regenerative medicine, analytical testing, clinical and preclinical research, and commercialized cell-derived products; and Exosome, a cell-free therapy. The company was founded in 1989 and is based in Taipei City, Taiwan.

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Frequently asked questions

Is BIONET Corp (1784) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17.09 TWD versus a price of 66.80 TWD — about −74% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 1784?
Our 21-model fair value for BIONET Corp is 17.09 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 66.80 TWD.
What is the quality score of 1784?
BIONET Corp has a Quality Score of 80/100, 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.