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Lotte Non - Life Insurance Co (000400) Fair Value & Analysis

Financial Services · KR · Market cap 594B KRW

Price1,700 KRW
Fair Value2,159 KRW
Upside+27.0%
Quality95/100
Evidence: High Range 1,619 KRW – 2,698 KRW

Fair value as of: Jun 25, 2026

Analysis

Lotte Non - Life Insurance Co (000400) currently trades at 1,700 KRW, while our model-based Fair Value estimate is 2,159 KRW — implying the stock looks roughly 27.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: high) — always confirm before acting.

About the company

Lotte Non - Life Insurance Co., Ltd. is engaged in non-life insurance and reinsurance and insurance payment in South Korea. The company offers automobile, fire, casualty, long-term, marine, and retirement insurance products, as well as reinsurance products. It provides its products through professional Lotte consultants, bancassurance channels, and financial centers. The company was founded in 1946 and is based in Seoul, South Korea. Lotte Non - Life Insurance Co., Ltd. is a subsidiary of Victura Limited.

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Frequently asked questions

Is Lotte Non - Life Insurance Co (000400) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 2,159 KRW versus a price of 1,700 KRW — about +27% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 000400?
Our 21-model fair value for Lotte Non - Life Insurance Co is 2,159 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 1,700 KRW.
What is the quality score of 000400?
Lotte Non - Life Insurance 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.