RFHIC Corporation (218410) Fair Value & Analysis
Technology · KR · Market cap 2.1T KRW
Analysis
RFHIC Corporation (218410) currently trades at 68,100 KRW, while our model-based Fair Value estimate is 22,781 KRW — implying the stock looks roughly 66.5% overvalued today. We read business quality at 80/100 (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
RFHIC Corporation designs and manufactures radio frequency (RF) and microwave components for wireless infrastructure, commercial and military radar, and industrial/scientific/medical industries in South Korea and internationally. The company's products include RF power transistors comprising gallium nitride (GaN) on SiC transistors; GaN and GaAs MMICs, and active dividers; power amplifiers, such as hybrid, pallet, wideband, module, and low noise amplifiers, as well as GaN T/R modules; and sub-systems, including RF/microwave generators, RF transmitters, and high-power combiners. It offers its products for telecommunications application, such as 4G LTE, 5G, Wi-Fi, point-to-point radio, and SatCom; RF energy applications, including microwave heating and drying, particle accelerators, plasma lighting, semiconductor equipment, waste gasification, carbon fiber and composite materials, microwave assisted X-ray laser, microwave tumor ablation, and bio and health sciences; and defense applic…
Open the full interactive analysis →
Similar stocks
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.