ARIP Public Company (ARIP) Fair Value & Analysis
Industrials · TH · Market cap 205M THB
Fair value as of: Jun 24, 2026
Analysis
ARIP Public Company (ARIP) currently trades at 0.4600 THB, while our model-based Fair Value estimate is 0.5000 THB — implying the stock looks roughly 8.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
ARIP Public Company Limited engages in the management of events and marketing activities in Thailand. It operates through three segments: Media and Contents, Management of Events, and Digital Service. The company produces, distributes, and provides advertising services across print, digital, and social media platforms about business, management, and information technology, including Business+, an analytical magazine focusing on economics, business, strategy, management, and marketing; Business+ Top 1000 Companies, a magazine that compiles performance data of listed companies in Thailand; techhub.in.th, a digital media platform; and COMMART, an online media platform that offers buyer guide for technology products, as well as seminars and award ceremonies. It also organizes exhibitions, IT trade shows, and marketing events, as well as academic conferences; provides marketing and event management, as well as administrative services; and virtual event platform services, such as member m…
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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.