Hibiscus Petroleum Berhad (5199) Fair Value & Analysis
Energy · MY · Market cap 1.5B MYR
Fair value as of: Jun 24, 2026
Analysis
Hibiscus Petroleum Berhad (5199) currently trades at 1.79 MYR, while our model-based Fair Value estimate is 2.74 MYR — implying the stock looks roughly 53.1% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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
Hibiscus Petroleum Berhad engages in the exploration, development, and sale of oil and gas in Peninsular Malaysia, Sabah, Malaysia, the United Kingdom, Brunei, Australia, and Vietnam. The company invests and provides project management, technical, and other services related to the oil and gas exploration and production industry. It is also involved in the provision of electric power generated from renewable sources, including the installation, operation, maintenance, shutdown, and sale of electricity to the grid, as well as other services related to the renewable energy industry. In addition, the company provides turnaround and associated services related to oil and gas production, storage facilities, and installations or platforms. Hibiscus Petroleum Berhad was incorporated in 2007 and is headquartered in Kuala Lumpur, Malaysia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Hibiscus Petroleum Berhad (5199) undervalued?
What is the fair value of 5199?
What is the quality score of 5199?
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.