Fairvalue-Calculator Fairvalue-Calculator
EN DE

MNTech Co (095500) Fair Value & Analysis

Technology · KR · Market cap 214B KRW

Price8,600 KRW
Fair Value11,757 KRW
Upside+36.7%
Quality87/100
Evidence: Medium Range 8,818 KRW – 13,637 KRW

Fair value as of: Jun 24, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

MNTech Co (095500) currently trades at 8,600 KRW, while our model-based Fair Value estimate is 11,757 KRW — implying the stock looks roughly 36.7% undervalued today. We read business quality at 87/100 (high quality), in the Technology 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: medium) — always confirm before acting.

About the company

MNTech Co., Ltd. manufactures and sells optical films for LCD displays in South Korea. It offers display films and plates; ITO and metal mesh touchscreen solutions; window films for vehicles and buildings; and traffic signage and vehicle safety reflective sheeting. The company was founded in 2002 and is based in Cheongju, South Korea.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is MNTech Co (095500) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 11,757 KRW versus a price of 8,600 KRW — about +37% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 095500?
Our 21-model fair value for MNTech Co is 11,757 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 8,600 KRW.
What is the quality score of 095500?
MNTech Co has a Quality Score of 87/100, 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.