MDS Tech Inc (086960) Fair Value & Analysis
Technology · KR · Market cap 108B KRW
Fair value as of: Jun 24, 2026
Analysis
MDS Tech Inc (086960) currently trades at 2,155 KRW, while our model-based Fair Value estimate is 3,295 KRW — implying the stock looks roughly 52.9% undervalued today. We read business quality at 94/100 (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
MDS Tech Inc. provides embedded solutions in South Korea, Southeast Asia, India, and Oceania. It provides embedded systems development solutions and services, including debugging solutions, design automation, test automation, and in-vehicle infotainment services, as well as Windows IoT OS. The company's products also include NEOS RTOS, a real-time Operating System for embedded systems; and data distribution service middleware for real-time data distribution. In addition, it provides automotive infotainment solutions, such as MirrorLink, a software solution that connects smartphones and automotive infotainment systems. Further, the company offers NeoIDM, an IoT platform for managing IoT devices; and IoT Integration construction and consulting service to enable data collection and device control for heterogeneous devices, as well as operates an embedded solution training center to provide training to embedded systems engineers. It serves automotive, digital device/CE, industrial devic…
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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.