Sangsangin Co (038540) Fair Value & Analysis
Financials · KR · Market cap 103B KRW
Analysis
Sangsangin Co (038540) currently trades at 2,025 KRW, while our model-based Fair Value estimate is 2,129 KRW — implying the stock looks roughly 5.2% undervalued today. We read business quality at 92/100 (high quality), in the Financials 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
Sangsangin Co., Ltd. operates in the field of information technology (IT), financial services, and heavy industry in South Korea. The company provides various IT services, such as security systems, integrated communication, SDN, and cloud services, as well as wired or wireless network services; design, installation, and maintenance of IT networks; consulting services; and electronic components. It also offers various banking products and services, such as stock loans; acts as an intermediary in the sale of equity, bonds, and financial derivatives; and provides consulting on financial investment products. In addition, the company offers consulting services on the modernization and the construction of ship-building sites; and offshore marine and deck cranes. The company was formerly known as Texcell-NetCom Co., Ltd. Sangsangin Co., Ltd. was founded in 1989 and is headquartered in Seongnam, South Korea.
Open the full interactive analysis →
Similar stocks
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.