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Seojin System Co (178320) Fair Value & Analysis

Technology · KR · Market cap 4.5T KRW

Price55,500 KRW
Fair Value34,609 KRW
Upside-37.6%
Quality95/100
Evidence: Low Range 25,957 KRW – 43,262 KRW

Fair value as of: Jun 24, 2026

Analysis

Seojin System Co (178320) currently trades at 55,500 KRW, while our model-based Fair Value estimate is 34,609 KRW — implying the stock looks roughly 37.6% 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: low).

About the company

Seojin System Co.,Ltd provides telecom equipment, repeaters, mechanical products, and LED and other equipment. The company offers telecommunication equipment, such as RRH, RU, cabinets, enclosures, cases, and sever racks; mobile phone frames; automotive parts; semiconductor equipment; aluminum alloys; cable harness for power, telecom, data, and other cable industries; and LED cases comprising industrial and sport LED cases, and security and street light cases, as well as products for heavy industries. Seojin System Co.,Ltd was founded in 1996 and is headquartered in Bucheon-Si, South Korea.

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Frequently asked questions

Is Seojin System Co (178320) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 34,609 KRW versus a price of 55,500 KRW — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 178320?
Our 21-model fair value for Seojin System Co is 34,609 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 55,500 KRW.
What is the quality score of 178320?
Seojin System 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.