Nuriplan Co (069140) Fair Value & Analysis
Industrials · KR · Market cap 21.7B KRW
Fair value as of: Jun 24, 2026
Analysis
Nuriplan Co (069140) currently trades at 1,500 KRW, while our model-based Fair Value estimate is 1,997 KRW — implying the stock looks roughly 33.1% undervalued today. We read business quality at 88/100 (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
Nuriplan Co., Ltd., together with its subsidiaries, provides landscape lighting and landscape facility services in South Korea. The company engages in production and construction of steel sidewalk overpass, safety facilities, and road facilities; installation of temporary soundproof walls; slab integration system formwork; and rain water and sewage pipes services. It also provides clean air solutions, such as VOC, white smoke, portable white smoke, and odor reduction system; dust collection system for oil boiler; dust collection system; fog removal system; and electrostatic precipitation system. In addition, the company engages in landscape lighting and media contents business for bridges, architectures, cultural assets, parks, etc., as well as provides IT security services. The company was formerly known as Daesang Ganggeon Co., Ltd. and changed its name to Nuriplan Co., Ltd. in July 2001. Nuriplan Co., Ltd. was founded in 1992 and is headquartered in Gimpo-si, South Korea.
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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.