Fairvalue-Calculator Fairvalue-Calculator
EN DE

STO Co (098660) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 19.9B KRW

Price1,649 KRW
Fair Value4,316 KRW
Upside+161.7%
Quality95/100
Evidence: Medium Range 2,356 KRW – 6,276 KRW

Fair value as of: Jun 25, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

STO Co (098660) currently trades at 1,649 KRW, while our model-based Fair Value estimate is 4,316 KRW — implying the stock looks roughly 161.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.

About the company

STO Co., Ltd. engages in the manufacture, distribution, and sale of men's clothing, leather, and accessories. The company was founded in 2003 and is headquartered in Seoul, South Korea.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is STO Co (098660) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 4,316 KRW versus a price of 1,649 KRW — about +162% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 098660?
Our 21-model fair value for STO Co is 4,316 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 1,649 KRW.
What is the quality score of 098660?
STO Co 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.