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Igis Value Plus Reit Co (334890) Fair Value & Analysis

Real Estate · KR · Market cap 183B KRW

Price3,445 KRW
Fair Value4,048 KRW
Upside+17.5%
Quality95/100
Evidence: High Range 2,946 KRW – 4,895 KRW

Fair value as of: Jun 26, 2026

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Analysis

Igis Value Plus Reit Co (334890) currently trades at 3,445 KRW, while our model-based Fair Value estimate is 4,048 KRW — implying the stock looks roughly 17.5% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Igis Value Plus Reit Co., Ltd. engages in the acquisition, development, management, and lease of real estate properties. It also trades in securities. The company was founded in 2019 and is based in Seoul, South Korea.

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Frequently asked questions

Is Igis Value Plus Reit Co (334890) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 4,048 KRW versus a price of 3,445 KRW — about +18% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 334890?
Our 21-model fair value for Igis Value Plus Reit Co is 4,048 KRW (as of Jun 26, 2026), built from audited fundamentals. The current price is 3,445 KRW.
What is the quality score of 334890?
Igis Value Plus Reit 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.