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Wantedlab, Inc (376980) Fair Value & Analysis

Communication Services · KR · Market cap 21.8B KRW

Price2,095 KRW
Fair Value3,005 KRW
Upside+43.4%
Quality95/100
Evidence: High Range 2,254 KRW – 3,756 KRW

Fair value as of: Jun 24, 2026

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Analysis

Wantedlab, Inc (376980) currently trades at 2,095 KRW, while our model-based Fair Value estimate is 3,005 KRW — implying the stock looks roughly 43.4% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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

Wantedlab, Inc. operates an AI-powered recruiting platform in South Korea. The company also offers Wanted Space to manage various HR tasks, including attendance, payroll, electronic approval, and contracts through automation; WantedGeeks to connect with the right freelancer through AI matching; and Wanted Insight to manage company information, such as salary, headcount, sales, and reviews from current and former employees. Wantedlab, Inc. was founded in 2015 and is based in Seoul, South Korea.

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Frequently asked questions

Is Wantedlab, Inc (376980) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 3,005 KRW versus a price of 2,095 KRW — about +43% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 376980?
Our 21-model fair value for Wantedlab, Inc is 3,005 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 2,095 KRW.
What is the quality score of 376980?
Wantedlab, 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.