Altamir SCA, formerly known as Altamir Amboise, (LTA) Fair Value & Analysis
Financial Services · FR · Market cap €879M
Analysis
Altamir SCA, formerly known as Altamir Amboise, (LTA) currently trades at €23.40, while our model-based Fair Value estimate is €18.17 — implying the stock looks roughly 22.4% 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: low).
About the company
Altamir SCA, formerly known as Altamir Amboise, is a private equity investment arm of Amboise SAS, specializing in both direct and fund of fund investments, small and mid-cap companies. In direct investing, the firm specializes in middle market, buyout and growth capital investments. The firm prefers to invest in high-growth companies, diversified by size and geography. The firm prefers to invest in under-developed divisions of larger corporations. It prefers to invest in private equity funds specializing in growth capital and leverage buyouts investments from Europe, United States and Canada. The firm typically invests in the following sectors like commercial services and supplies, industrial, technology, telco, healthcare services, commercial, professional services, consumer durables and apparel, TMT, digital companies, consumer services, education services, hotel, restaurants, leisure, retail and distribution. It also invests in retail and consumer, business and financial service…
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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.