Master Style Public Company (MASTER) Fair Value & Analysis
Healthcare · TH · Market cap 2.5B THB
Fair value as of: Jun 24, 2026
Analysis
Master Style Public Company (MASTER) currently trades at 8.30 THB, while our model-based Fair Value estimate is 14.44 THB — implying the stock looks roughly 74.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Master Style Public Company Limited operates a cosmetic surgery hospital under the Masterpiece Hospital name in Thailand. The company offers surgical services, including rhinoplasty; eye, eyebrow, and forehead lifts; vaser liposuction and body transformation; tummy tuck; facial restructuring; eye; and other beauty surgeries. It also provides hair transplant and treatment services; skin care and laser treatments; after-surgery and hair transplant services, such as after breast augmentation surgery program, after liposuction surgery program, and after hair transplantation program; and after surgery self-care products comprising support bra for breast augmentation surgery, forehead bandage for eyebrow lift surgery, and other products. In addition, the company engages in the trading of cosmetic products. Master Style Public Company Limited was founded in 2012 and is headquartered in Bangkok, Thailand.
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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.