Symphony International Holdings (SYNNF) Fair Value & Analysis
Financial Services · US · Market cap $236M
Fair value as of: Jun 26, 2026
Analysis
Symphony International Holdings (SYNNF) currently trades at $0.3450, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 82.6% 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: medium).
About the company
Symphony International Holdings Limited is a private equity and venture capital firm specializing in investments in early stage, management buy-outs, emerging growth, management buy-ins, restructurings, special situations, and the provision of growth capital for later-stage development and expansion. It also invests in real estate development. The firm typically invests in innovative and high-growth consumer businesses, new economy, primarily in the education, hospitality, lifestyle logistics, new economy, healthcare, healthcare related services, luxury branded real estate, hospitality and lifestyle sectors. It prefers to make long-term direct investments in the Asia Pacific region with a focus on Australia, India, Indonesia, Malaysia, Singapore, Taiwan, Thailand, Vietnam and Sri Lanka. The firm seeks to achieve control and majority positions in partnership with the management of the acquired business. It seeks to be the lead or sole investor. Symphony International Holdings Limited…
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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.