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Wonik Pne Co (217820) Fair Value & Analysis

Industrials · KR · Market cap 101B KRW

Price1,960 KRW
Fair Value989.04 KRW
Upside-49.5%
Quality95/100
Evidence: High Range 692.32 KRW – 1,053 KRW

Fair value as of: Jun 24, 2026

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Analysis

Wonik Pne Co (217820) currently trades at 1,960 KRW, while our model-based Fair Value estimate is 989.04 KRW — implying the stock looks roughly 49.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).

About the company

Wonik Pne Co., Ltd. engages in manufacturing and supplying process automation equipment and degassing facilities for mass production of secondary batteries in South Korea. It provides sale of power supply devices; real estate rental management; rectifiers for power plants and industrial use. Wonik Pne Co., Ltd. any was formerly known as NS Co., Ltd. Wonik Pne Co., Ltd. was founded in 1999 and is headquartered in Suwon-si, South Korea.

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Frequently asked questions

Is Wonik Pne Co (217820) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 989.04 KRW versus a price of 1,960 KRW — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 217820?
Our 21-model fair value for Wonik Pne Co is 989.04 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 1,960 KRW.
What is the quality score of 217820?
Wonik Pne 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.