PJ Electronics Co (006140) Fair Value & Analysis
Technology · KR · Market cap 77.1B KRW
Fair value as of: Jun 25, 2026
Analysis
PJ Electronics Co (006140) currently trades at 4,560 KRW, while our model-based Fair Value estimate is 8,810 KRW — implying the stock looks roughly 93.2% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: high) — always confirm before acting.
About the company
PJ Electronics Co., Ltd. provides electronic manufacturing services in South Korea. It provides medical equipment, automotive electronics, robot controllers, IT products, and various flexible/PCB assembly products. The company offers production equipment, comprising printers, dispensers, high speed and multi mounters, routers, UR5 robot screws, and N2 reflow, solder, under-fill, coating, press fit, ultrasonic cleaning, and washing machines; and inspection equipment, such as temperature/humidity chambers, 3D coordinate measure machines, magnifiers, and AOIs, solder paste inspection and coating inspection machines, x-rays/CTs, and in-circuit, function, flying probe, and XRF testers. In addition, it provides engineering services for new product introduction, including printed circuits board and function test fixture designs, process optimization of production time, design for manufacturing/assembly, and signal/power integrity. The company was formerly known as PJ Industry Co., Ltd. and…
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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.