GMM Grammy Public Company (GRAMMY) Fair Value & Analysis
Communication Services · TH · Market cap 2.4B THB
Fair value as of: Jun 25, 2026
Analysis
GMM Grammy Public Company (GRAMMY) currently trades at 2.98 THB, while our model-based Fair Value estimate is 2.02 THB — implying the stock looks roughly 32.2% overvalued today. We read business quality at 90/100 (high quality), in the Communication Services 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
GMM Grammy Public Company Limited, together with its subsidiaries, engages in the music, satellite television (TV), digital TV, movies, home shopping, and co-investment in other businesses in Thailand. The company operates through Music, Media, and Others segments. The Music segment engages in music business and operates showbiz under GMM SHOW name. The Media segment comprises of digital TV business GMM25. The Other segment consists of merchandise and other services, such as home shopping, satellite box, and satellite television platform, as well as offers films and others. The Other segment consists of merchandise and other services, such as home shopping, satellite box, and satellite television platform, as well as offers films and others. It also provides wholesale and retail services through advertising media services and receives phone and E-commerce orders; production and distribution of satellite television and digital TV, films, and television programmers and digital TV broa…
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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.