BIDV Securities Joint Stock Company (BSI) Fair Value & Analysis
Financial Services · VN · Market cap 8.3T VND
Fair value as of: Jun 26, 2026
Analysis
BIDV Securities Joint Stock Company (BSI) currently trades at 34,700 VND, while our model-based Fair Value estimate is 34,203 VND — implying the stock looks roughly 1.4% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
BIDV Securities Joint Stock Company operates as a securities company in Vietnam. It provides securities trading, cash advance service, depository registration services, desecurities, investment and investment advisory services. The company also offers investment banking services, such as privatization advisory, listing advisory, capital raising advisory, public equity offerings advisory, corporate restructuring advisory, and merger and acquisition advisory. In addition, it provides investment consulting services, including securities investment, portfolio restructuring, trading strategy consulting, searching for and executing block trade, personal asset management, financial market fluctuations reports, investment consulting on i-Broker and I-invest technology products. The company was founded in 1999 and is headquartered in Hanoi, Vietnam. BIDV Securities Joint Stock Company operates as a subsidiary of Joint Stock Commercial Bank for Investment and Development of Vietnam.
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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.