Fairvalue-Calculator Fairvalue-Calculator

Kyungbangco.Ltd (000050) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 217B KRW

Price7,600 KRW
Fair Value31,071 KRW
Upside+308.8%
Quality95/100
Evidence: Low Range 21,992 KRW – 40,150 KRW

Analysis

Kyungbangco.Ltd (000050) currently trades at 7,600 KRW, while our model-based Fair Value estimate is 31,071 KRW — implying the stock looks roughly 308.8% 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: low) — always confirm before acting.

About the company

Kyungbangco.Ltd engages in textile spinning and real estate development businesses in South Korea. Its products include cotton, nylon spun and blended, rayon blend, wool blend, polyester blend, acrylics blend, and tencel blend yarns for general clothing and bedding applications; and mercerized, processed, and cheese-type dyed yarns for use in golf wear, casuals, sweaters, socks, etc. The company's real estate development activities comprise development and operation of complex shopping mall, including a department store and a hotel in Yeongdeungpo-gu, Seoul. Kyungbangco.Ltd was founded in 1919 and is headquartered in Seoul, South Korea.

Open the full interactive analysis →

Similar stocks

Toray Industries, Inc (TRYIF) -20% Shenzhou International Group (SZHIF) +40% Tongkun Group (601233) -37% HMT (Xiamen) New Technical Materials Co (603306) -91% Far Eastern New Century Corporation (1402) +8% Shijiazhuang ChangShan BeiMing Technology Co (000158) -87%

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.