PT Digital Mediatama Maxima Tbk (DMMX) Fair Value & Analysis
Communication Services · ID · Market cap 958B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Digital Mediatama Maxima Tbk (DMMX) currently trades at 171.00 IDR, while our model-based Fair Value estimate is 167.69 IDR — implying the stock looks roughly 1.9% overvalued today. We read business quality at 95/100 (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: high).
About the company
PT Digital Mediatama Maxima Tbk operates an integrated marketing platform in Indonesia. It provides trade marketing, hardware sales, managed services, infrastructure as a service, advertising exchange hub, digital wholesale, and content and entertainment services. The company also offers smart retail solutions, such as cloud-based digital signage and last format LED Videotron, AI profiling, ESL, sound dome, AR gamification, and SME commerce platform; and consumer business solutions comprising Sruput Café, Chatfoto, Volta Indonesia, and Esport Academy ID. In addition, it also offers engagement platform solutions, including DIGIMAXads, an advertisement solution; Bumilangit Digital, an IP character licensing; and Close The Door, a creators hub solution. The company was formerly known as PT Digital Marketing Solution and changed its name to PT Digital Mediatama Maxima Tbk in January 2019. PT Digital Mediatama Maxima Tbk was founded in 2015 and is based in Jakarta Selatan, Indonesia.
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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.