FASOO AI Co (150900) Fair Value & Analysis
Technology · KR · Market cap 41.6B KRW
Fair value as of: Jun 24, 2026
Analysis
FASOO AI Co (150900) currently trades at 3,065 KRW, while our model-based Fair Value estimate is 3,322 KRW — implying the stock looks roughly 8.4% undervalued today. We read business quality at 93/100 (high quality), in the Technology 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
FASOO AI Co.,Ltd. provides unstructured data security and enterprise content platforms worldwide. The company offers Fasoo Data Radar, a solution for data discovery, classification, and protection; Fasoo Enterprise DRM, a file-centric security solution that allows organizations to protect, control, and track sensitive documents; Fasoo Smart Print solution that controls and traces printed documents on printers and MFPs; and Fasoo Smart Screen, which blocks unauthorized use of third-party screen capture programs, digital cameras, and smartphones to capture sensitive information when protected documents are in use. It also provides Fasoo eXception Management that provides temporary permissions to documents through a pre-approval, post-approval, or self-approval workflow; Wrapsody, a virtual content platform, which addresses the root cause of content; Wrapsody eCo, an intuitive and open collaboration solution to share securely, track, control, and remotely expire sensitive content; and …
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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.