PT Venteny Fortuna International Tbk (VTNY) Fair Value & Analysis
Industrials · ID · Market cap 338B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Venteny Fortuna International Tbk (VTNY) currently trades at 60.00 IDR, while our model-based Fair Value estimate is 96.36 IDR — implying the stock looks roughly 60.6% 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: high) — always confirm before acting.
About the company
PT Venteny Fortuna International Tbk provides various financial products and services in the Philippines, Singapore, Indonesia, and Japan. The company operates in Other Financial Services and Other segments. The Other Financial Services segment generates income from interest, administration, commissions, and penalties. The Other Segments segment generates revenues from management fees, service fees, and digital platform-related activities. It offers B2B financial services, including salary repayment, working capital, micro financing, and invoice system; V-Nancial, a financial solution for early wage access and low-interest loans; V-Academy, which offers various courses and training; V-health, which offers healthcare services, such as medical consultation and wellness programs; and V-Merchant that supports the daily essentials and lifestyle needs. The company was founded in 2021 and is based in Jakarta Selatan, Indonesia.
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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.