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Wavice Inc (289930) Fair Value & Analysis

Technology · KR · Market cap 134B KRW

Price8,870 KRW
Fair Value4,018 KRW
Upside-54.7%
Quality95/100
Evidence: Medium Range 3,013 KRW – 5,022 KRW

Fair value as of: Jun 24, 2026

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Analysis

Wavice Inc (289930) currently trades at 8,870 KRW, while our model-based Fair Value estimate is 4,018 KRW — implying the stock looks roughly 54.7% overvalued today. We read business quality at 95/100 (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

Wavice Inc. engages in the development, manufacture, and sale of GaN RF based compound semiconductors In south Korea. It also offers packaged transistors. In addition, It provides GaN RF products, such as Broadbands, L-bands, S-bands, and C-bands. The company was founded in 2011 and is based in Hwaseong-si, South Korea.

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Frequently asked questions

Is Wavice Inc (289930) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 4,018 KRW versus a price of 8,870 KRW — about −55% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 289930?
Our 21-model fair value for Wavice Inc is 4,018 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 8,870 KRW.
What is the quality score of 289930?
Wavice Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.