Bao Viet Holdings (BVH) Fair Value & Analysis
Financial Services · VN · Market cap 49.4T VND
Analysis
Bao Viet Holdings (BVH) currently trades at 64,900 VND, while our model-based Fair Value estimate is 76,425 VND — implying the stock looks roughly 17.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Bao Viet Holdings, through its subsidiaries, engages in insurance, financial, and real estate activities in Vietnam. The company offers various whole life; endowment; term life; endowment; bancassurance; annuity; universal life; healthcare and personal accident riders; other types of life insurance; property and damages; cargo insurance; hull and P&l insurance; general indemnity insurance; aviation insurance; automobile insurance; fire and special risk insurance; agriculture insurance; and assuming and ceding reinsurance for all types of non-life insurances. It also provides fund management, investment portfolio management, securities brokerage and trading, investment consulting, securities brokerage, securities underwriting and issuance agency, securities trading, custodian services, investment, and financial consulting services. In addition, the company engages in the provision of rental and related services; and develops real estate projects. Further, it offers IT and other compu…
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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.