SP Systems Co (317830) Fair Value & Analysis
Industrials · KR · Market cap 70.6B KRW
Fair value as of: Jun 24, 2026
Analysis
SP Systems Co (317830) currently trades at 5,490 KRW, while our model-based Fair Value estimate is 9,201 KRW — implying the stock looks roughly 67.6% undervalued today. We read business quality at 80/100 (high quality), in the Industrials 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
SP Systems Co.,Ltd. provides robotics solutions in South Korea. The company offers linear modules comprising of clean room robot, wireless linear module, and axis linear modules. It also offers cooperative robot, track motion equipment, robot track motion, wireless gantry robot system, and axis gantry robots. In addition, the company provides smart factory, digital transformation, system integration, operation and maintenance, and consulting services, as well as offers battery, busbar, automobile, and lithium battery related products. Further, it offers conrod, crankshaft and camshaft handling, cylinder head and block handling, transmission case handling, and pallet head handling solutions. Additionally, the company provides conveyor, buffer, lifting, inspection, P.P loader, washing, air blow system, and valve body production solutions. It serves automotive, machine tool, display, tires, and test measurement automation sectors. SP Systems Co.,Ltd. was founded in 1988 and is headquar…
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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.