Alticast Corporation (085810) Fair Value & Analysis
Technology · KR · Market cap 19.9B KRW
Fair value as of: Jun 24, 2026
Analysis
Alticast Corporation (085810) currently trades at 1,277 KRW, while our model-based Fair Value estimate is 1,151 KRW — implying the stock looks roughly 9.8% overvalued today. We read business quality at 89/100 (high quality), in the Technology 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
Alticast Corporation develops software solutions in South Korea. The company's products include Ambient TV, an E2E media platform; business intelligence and remote management systems; AltiCloud UI, a solution that virtualizes UI applications to minimize devices; AltiPlatform-WEB, a software platform for low-end set-top boxes to 4K, UHD, and HDR set-top boxes; AltiPlatform-Android, a software platform for Android TV and AOSP based set-top boxes; AltiPlatform-RDK, an open source integrated RDK platform; AltiProtect-CAS, a reception restriction system; AltiProtect-MultiDRM, a security framework for multi-screen and OTT services; AltiView, an UX product; and Voiceable, a voice interface for TV. Its solutions include Alticast E2E media platform; Alticast automotive solution based on secure OTA and automotive data logging systems; data-driven analytics and consulting services; and UX Consulting services. The company was founded in 1999 and is based in Seoul, South Korea.
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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.