Fairvalue-Calculator Fairvalue-Calculator
EN DE

MARX Biotech Co (7731) Fair Value & Analysis

Healthcare · TW · Market cap 2.9B TWD

Price5.63 TWD
Fair Value1.64 TWD
Upside-70.9%
Quality95/100
Evidence: Medium Range 1.23 TWD – 2.06 TWD

Fair value as of: Jun 24, 2026

Analysis

MARX Biotech Co (7731) currently trades at 5.63 TWD, while our model-based Fair Value estimate is 1.64 TWD — implying the stock looks roughly 70.9% overvalued today. We read business quality at 95/100 (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

MARX Biotech Co., Ltd. engages in the online retail of men's health food and cosmeceutical products. The company was founded in 2015 and is based in New Taipei City, Taiwan.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is MARX Biotech Co (7731) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1.64 TWD versus a price of 5.63 TWD — about −71% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 7731?
Our 21-model fair value for MARX Biotech Co is 1.64 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 5.63 TWD.
What is the quality score of 7731?
MARX Biotech 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.