iA, Inc (038880) Fair Value & Analysis
Technology · KR · Market cap 24.5B KRW
Fair value as of: Jun 24, 2026
Analysis
iA, Inc (038880) currently trades at 670.00 KRW, while our model-based Fair Value estimate is 690.69 KRW — implying the stock looks roughly 3.1% undervalued today. We read business quality at 85/100 (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: low) — always confirm before acting.
About the company
iA, Inc. provides automotive semiconductor chips, modules, and solutions in Korea. It provides electric power steering module for enhancing the motor control performance of electric power steerings; electrical relay module, a semiconductor module; cooling fan motor controller to cool the heat of the engines; e-compressor motor controller to control the operation of e-compressor used for air-conditioning of PHEV/EV; e-water pump controller to control the operation of water pumps; and e-scooter traction motor controller for controlling the traction motor of electric scooters. The company also offers iVAC, an air conditioning semiconductor for the controller of automotive HVAC systems; Seat Switch ASIC, a semiconductor for switch module that operates the car seat heating wires and ventilations; and RAPIEnet Chip, a multimedia processor optimized for Ethernet communication applications. In addition, it offers broadcasting module, a compact plug-in module for DMB broadcasting and TPEG re…
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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.