Innity Corporation (0147) Fair Value & Analysis
Communication Services · MY · Market cap 20.9M MYR
Fair value as of: Jun 26, 2026
Analysis
Innity Corporation (0147) currently trades at 0.1100 MYR, while our model-based Fair Value estimate is 0.1100 MYR — implying the stock looks roughly 0.0% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: low) — always confirm before acting.
About the company
Innity Corporation Berhad, an investment holding company, provides interactive online marketing platforms and data-driven technologies for advertisers and publishers. Its interactive online marketing solutions comprise branding, interactive advertising, influencer and key opinion community marketing, and e-commerce performance marketing. The company engages in the development of computer and mobile software applications; and operation of promotional and sales event information websites. It is also involved in the development of content and influencer marketing activities; and provision of software production services, as well as online advertising solutions. The company operates in Malaysia, Hong Kong, China, Indonesia, the Philippines, Singapore, Taiwan, Vietnam, South Korea, Cambodia, and Myanmar. Innity Corporation Berhad was founded in 1999 and is headquartered in Petaling Jaya, Malaysia.
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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.