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Gourmet Master Co (2723) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 12.2B TWD

Price67.10 TWD
Fair Value82.32 TWD
Upside+22.7%
Quality95/100
Evidence: High Range 62.90 TWD – 124.44 TWD

Fair value as of: Jun 24, 2026

Analysis

Gourmet Master Co (2723) currently trades at 67.10 TWD, while our model-based Fair Value estimate is 82.32 TWD — implying the stock looks roughly 22.7% undervalued today. We read business quality at 95/100 (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

Gourmet Master Co. Ltd., together with its subsidiaries, operates and franchises chain stores in China, Taiwan, Hong Kong, the United States, and internationally. The company operates its cafes under the 85°C name, which includes beverages, pastries, bread, and other products. It also manufactures and sells bakery products; and wholesales groceries, beverages, and bakery machines. Gourmet Master Co. Ltd. was founded in 1997 and is based in Taichung City, Taiwan.

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Frequently asked questions

Is Gourmet Master Co (2723) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 82.32 TWD versus a price of 67.10 TWD — about +23% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 2723?
Our 21-model fair value for Gourmet Master Co is 82.32 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 67.10 TWD.
What is the quality score of 2723?
Gourmet Master 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.