Tamburi Investment Partners S.p.A (TIP) Fair Value & Analysis
Financial Services · IT · Market cap €1.5B
Fair value as of: Jun 26, 2026
Analysis
Tamburi Investment Partners S.p.A (TIP) currently trades at €8.69, while our model-based Fair Value estimate is €7.64 — implying the stock looks roughly 12.1% overvalued today. We read business quality at 91/100 (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
Tamburi Investment Partners S.p.A. is private equity firm specializing in advisory, direct and secondary direct investments. The firm also co-invests with other entrepreneurs and investors. Within direct investments, it invests in early venture, mid-stage, middle market, later stage, buyouts, mature, industry consolidations, recapitalizations, M&A / corporate finance, growth capital, and turnaround investments. The firm seeks to invest in medium sized small-mid cap companies in all industries including consumer discretionary, consumer staples, luxury, energy, healthcare, industrials, information technology, materials, telecommunication services, and utilities. It prefers to invest in pre-IPO and PIPES investments in listed and unlisted companies. The firm invests in companies based in Asia and Europe with a focus on Italy. It prefers to invest in companies with revenue between "30 million ($34.92) and "200 million ($232.85 million) with equity investment between "20 million ($23.28 …
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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.