Pavonine Co (177830) Fair Value & Analysis
Technology · KR · Market cap 28.0B KRW
Fair value as of: Jun 24, 2026
Analysis
Pavonine Co (177830) currently trades at 2,470 KRW, while our model-based Fair Value estimate is 3,947 KRW — implying the stock looks roughly 59.8% 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: medium) — always confirm before acting.
About the company
Pavonine Co., Ltd. manufactures and sells TVs, medical devices, industrial equipment, and household appliances in South Korea and rest of Asia. The company offers TV appearance products and signage, such as the terrace external TV, digital signage, LED electric bulletin boards, electronic blackboards, curved game monitors, and kiosks. It also offers metal fittings and structures for medical devices, such as x-rays, ultrasonics, ventilators, and chest x-rays equipment. In addition, the company offers household appliances, such as doors, wine cellers, door in door refrigerators, stainless dishwashers, monogram bin and trims, café handle series, over the range, and refrigerator rotating bins. Further, it provides industrial equipment, including roof cross bars for vehicles, kimchi cases, wall ovens, and dimchaes. The company was formerly known as EO Precision Industry Co., Ltd. and changed its name to Pavonine Co., Ltd. in December 2002. Pavonine Co., Ltd. was founded in 1997 and is he…
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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.