Fairvalue-Calculator Fairvalue-Calculator
EN DE

Pond Group (472850) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 264B KRW

Price4,095 KRW
Fair Value11,994 KRW
Upside+192.9%
Quality76/100
Evidence: Medium Range 8,995 KRW – 14,992 KRW

Fair value as of: Jun 25, 2026

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

Analysis

Pond Group (472850) currently trades at 4,095 KRW, while our model-based Fair Value estimate is 11,994 KRW — implying the stock looks roughly 192.9% undervalued today. We read business quality at 76/100 (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

Pond Group Co., Ltd. engages in the manufacture of sewn wearing apparels. It offers men, and women underwears. The company was founded in 2023 and is based in Seoul, South Korea.

Open the full interactive analysis →

Similar stocks

Industria de Diseño Textil, S.A (IDEXY) -24% The TJX Companies, Inc (TJX) -45% Fast Retailing Co (FRCOY) -65% Ross Stores, Inc (ROST) -49% NEXT plc (NXGPF) +9% Burlington Stores, Inc (BURL) -57%

Frequently asked questions

Is Pond Group (472850) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 11,994 KRW versus a price of 4,095 KRW — about +193% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 472850?
Our 21-model fair value for Pond Group is 11,994 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 4,095 KRW.
What is the quality score of 472850?
Pond Group has a Quality Score of 76/100, 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.