Raiffeisen Bank International AG (RBI) Fair Value & Analysis
Financial Services · AT · Market cap €16.2B
Fair value as of: Jun 25, 2026
Analysis
Raiffeisen Bank International AG (RBI) currently trades at €55.05, while our model-based Fair Value estimate is €54.28 — implying the stock looks roughly 1.4% overvalued today. We read business quality at 94/100 (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
Raiffeisen Bank International AG, together with its subsidiaries, offers banking services to corporate, retail, and institutional customers. The company provides cash management, investment and subsidized financing, eSpeedTrack, financing and sustainable solutions, electronic bank account management, reporting and payment, supply chain financing, payment acceptance, factoring solutions, export and trade finance, factoring, leveraged and acquisition financing, project and structured financing, real estate financing, leasing, digital banking, working capital, investment banking, investing, hedging, and investor services to its institutional clients and corporate customers in agri food and beverage, mobility, construction and building materials, healthcare and pharmaceuticals, infrastructure and logistics, manufacturing, metals and mining, energy, packaging, real estate, retail, technology, telecom, and utilities industries. It also offers corporate, investment, and retail banking serv…
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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.