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Mona Yongpyong Co (070960) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 117B KRW

Price2,365 KRW
Fair Value2,799 KRW
Upside+18.4%
Quality95/100
Evidence: Medium Range 2,377 KRW – 5,014 KRW

Fair value as of: Jun 25, 2026

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Analysis

Mona Yongpyong Co (070960) currently trades at 2,365 KRW, while our model-based Fair Value estimate is 2,799 KRW — implying the stock looks roughly 18.4% 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

Mona Yongpyong Co.,Ltd engages in the ownership and operation of resort in South Korea. Its facilities includes food and beverages, entertainment, shopping, sauna, ski, snowboard, water park, golf, and lodging, as well as rental shops, restaurants, ball rooms, and meeting rooms facilities. The company was formerly known as HJ Magnolia Yongpyong Hotel & Resort and changed its name to Mona Yongpyong Co.,Ltd in June 2024. Mona Yongpyong Co.,Ltd founded in 1973 and is headquartered in Pyeongchang-gun, South Korea.

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Frequently asked questions

Is Mona Yongpyong Co (070960) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 2,799 KRW versus a price of 2,365 KRW — about +18% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 070960?
Our 21-model fair value for Mona Yongpyong Co is 2,799 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 2,365 KRW.
What is the quality score of 070960?
Mona Yongpyong 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.