Puncak Niaga Holdings (6807) Fair Value & Analysis
Industrials · MY · Market cap 78.3M MYR
Fair value as of: Jun 26, 2026
Analysis
Puncak Niaga Holdings (6807) currently trades at 0.1700 MYR, while our model-based Fair Value estimate is 0.2109 MYR — implying the stock looks roughly 24.1% undervalued today. We read business quality at 95/100 (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
Puncak Niaga Holdings Berhad, together with its subsidiaries, provides integrated water, wastewater, and environmental solutions in Malaysia. The company operates through three segments: Construction, Plantation, and Concession. It constructs and operates water treatment facilities and sewer pipe networks; engages in oil palm plantation activities; and offers concession facilities management services and maintenance works, as well as researches and develops technology for the water, wastewater, and environmental sectors. The company is also involved in management, advisory, and consultancy services; general contracts and related activities; property construction, development, management, and investment; concession related to the design, development, construction, and completion of facilities and infrastructure; raising of funds and/or to issue debentures and/or Islamic securities; and asset management services. In addition, it engages in the operation of grocery stores in the planta…
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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.