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Maguro Group (MAGURO) Fair Value & Analysis

Consumer Cyclical · TH · Market cap 2.3B THB

Price17.20 THB
Fair Value23.57 THB
Upside+37.0%
Quality95/100
Evidence: High Range 17.68 THB – 32.55 THB

Fair value as of: Jun 24, 2026

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Analysis

Maguro Group (MAGURO) currently trades at 17.20 THB, while our model-based Fair Value estimate is 23.57 THB — implying the stock looks roughly 37.0% 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

Maguro Group Public Company Limited owns and operates restaurants in Thailand. The company operates restaurants under the Maguro, Ssamthing Together, Hitori Shabu, Tonkatsu AOKI, CouCou, Bincho, and Kiwamiya brands. It also provides food and beverages; catering services for seminars and other occasions under the MAGURO Group Catering brand; and food delivery services under the Maguro Go brand. Maguro Group Public Company Limited was incorporated in 2010 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is Maguro Group (MAGURO) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 23.57 THB versus a price of 17.20 THB — about +37% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MAGURO?
Our 21-model fair value for Maguro Group is 23.57 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 17.20 THB.
What is the quality score of MAGURO?
Maguro Group 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.