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INVENIA Co (079950) Fair Value & Analysis

Technology · KR · Market cap 7.2B KRW

Price986.00 KRW
Fair Value479.54 KRW
Upside-51.4%
Quality95/100
Evidence: Medium Range 391.43 KRW – 616.23 KRW

Fair value as of: Jun 25, 2026

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Analysis

INVENIA Co (079950) currently trades at 986.00 KRW, while our model-based Fair Value estimate is 479.54 KRW — implying the stock looks roughly 51.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

INVENIA Co., Ltd. provides display technology products worldwide. It offers dry etchers, vacuum alignment systems, pattern AOI systems, and macro inspection systems for LCD production; and plasma treatment, vacuum transfer, vacuum lamination, mask particle inspection and repair, evaporation particle AOI, and film encapsulation monitoring inspection systems, as well as aligners and pressers, and hot wind circulation pressers for the OLED production. The company was formerly known as LIG Invenia Co., Ltd. and changed its name to INVENIA Co., Ltd. in March 2016. The company was founded in 2001 and is based in Seongnam, South Korea.

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Frequently asked questions

Is INVENIA Co (079950) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 479.54 KRW versus a price of 986.00 KRW — about −51% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 079950?
Our 21-model fair value for INVENIA Co is 479.54 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 986.00 KRW.
What is the quality score of 079950?
INVENIA 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.