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Monalisa Co (012690) Fair Value & Analysis

Consumer Defensive · KR · Market cap 61.0B KRW

Price1,537 KRW
Fair Value860.09 KRW
Upside-44.0%
Quality95/100
Evidence: Medium Range 645.07 KRW – 1,075 KRW

Fair value as of: Jun 24, 2026

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Analysis

Monalisa Co (012690) currently trades at 1,537 KRW, while our model-based Fair Value estimate is 860.09 KRW — implying the stock looks roughly 44.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Monalisa Co., Ltd engages in the production and sale of hygiene products in South Korea. It offers sanitary tissue, bathroom tissue, facial tissue, wet tissue, and kitchen towel products, as well as wet wipes, adult diapers, baby diapers, masks, napkins, jumbo rolls, and paper towels under the Bellagio, The Rich House, and Nox Premium brand names. The company was founded in 1977 and is headquartered in Seoul, South Korea. As of November 7, 2024, Monalisa Co., Ltd operates as a subsidiary of Arch Peninsula SDN.BHD..

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Frequently asked questions

Is Monalisa Co (012690) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 860.09 KRW versus a price of 1,537 KRW — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 012690?
Our 21-model fair value for Monalisa Co is 860.09 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 1,537 KRW.
What is the quality score of 012690?
Monalisa 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.