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Nobland International Inc (145170) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 59.6B KRW

Price3,090 KRW
Fair Value5,262 KRW
Upside+70.3%
Quality95/100
Evidence: High Range 3,947 KRW – 7,739 KRW

Fair value as of: Jun 25, 2026

Analysis

Nobland International Inc (145170) currently trades at 3,090 KRW, while our model-based Fair Value estimate is 5,262 KRW — implying the stock looks roughly 70.3% 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

Nobland International Inc. designs and exports knit and woven materials in South Korea and internationally. It also offers labels, buttons, and zippers. The company was founded in 1994 and is based in Seoul, South Korea.

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Frequently asked questions

Is Nobland International Inc (145170) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 5,262 KRW versus a price of 3,090 KRW — about +70% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 145170?
Our 21-model fair value for Nobland International Inc is 5,262 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 3,090 KRW.
What is the quality score of 145170?
Nobland International 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.