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SungEel HiTech Co (365340) Fair Value & Analysis

Industrials · KR · Market cap 677B KRW

Price42,700 KRW
Fair Value17,696 KRW
Upside-58.6%
Quality90/100
Evidence: Low Range 13,272 KRW – 22,120 KRW

Fair value as of: Jun 24, 2026

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Analysis

SungEel HiTech Co (365340) currently trades at 42,700 KRW, while our model-based Fair Value estimate is 17,696 KRW — implying the stock looks roughly 58.6% overvalued today. We read business quality at 90/100 (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: low).

About the company

SungEel HiTech Co., Ltd. operates as a recycling company in South Korea. The company enages in the lithium secondary battery recycling business. It serves recycling park, hydro center, and battery recycling fields. The company was founded in 2000 and is based in Gunsan-si, South Korea.

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Frequently asked questions

Is SungEel HiTech Co (365340) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17,696 KRW versus a price of 42,700 KRW — about −59% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 365340?
Our 21-model fair value for SungEel HiTech Co is 17,696 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 42,700 KRW.
What is the quality score of 365340?
SungEel HiTech Co has a Quality Score of 90/100, 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.