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Fursys Inc (016800) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 240B KRW

Price23,900 KRW
Fair Value58,117 KRW
Upside+143.2%
Quality95/100
Evidence: High Range 48,533 KRW – 65,411 KRW

Fair value as of: Jun 25, 2026

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Analysis

Fursys Inc (016800) currently trades at 23,900 KRW, while our model-based Fair Value estimate is 58,117 KRW — implying the stock looks roughly 143.2% 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: high) — always confirm before acting.

About the company

Fursys Inc. designs, manufactures, and sells office and home furniture products primarily in South Korea. It primarily offers desks and panels, executive and multi-use chairs, benches chairs, stools, bar stools, sofas, armchair, storage, shelves, worktools, bookshelves, and study tables. It markets its products under the FURSYS, iloom, and SIDIZ brands. Fursys Inc. was founded in 1983 and is based in Seoul, Korea.

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Frequently asked questions

Is Fursys Inc (016800) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 58,117 KRW versus a price of 23,900 KRW — about +143% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 016800?
Our 21-model fair value for Fursys Inc is 58,117 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 23,900 KRW.
What is the quality score of 016800?
Fursys Inc 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.