Tune Protect Group (5230) Fair Value & Analysis
Financial Services · MY · Market cap 219M MYR
Fair value as of: Jun 26, 2026
Analysis
Tune Protect Group (5230) currently trades at 0.2750 MYR, while our model-based Fair Value estimate is 0.4600 MYR — implying the stock looks roughly 67.3% undervalued today. We read business quality at 88/100 (high quality), in the Financial Services 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
Tune Protect Group Berhad, a financial holding company, provides underwriting and reinsurance services for non-life insurance products in Malaysia and internationally. The company offers travel insurance, such as document protection, travel golf, student travel, pet travel, travel adventure, travel cancellation, collision damage assurance, and travel electronic insurance; motor and bike insurance; and health insurance, including pro-health medical, critical safe, hospital cash insurance, e-cancer care, major critical illnesses, and diabetes insurance. It also provides personal insurance, snatch theft protection, sports protection, person with disability coverage, loss of life coverage, kids' coverage, and protection for seniors up to 99 years old; home insurance comprising protection for home building structure, home content or belongings against fire, flood, or landslides, as well as add-on home insurance, and protection against natural disasters; and reinsurance. The company was f…
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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.