MLP SE (MLP) Fair Value & Analysis
Financial Services · DE · Market cap €891M
Fair value as of: Jun 25, 2026
Analysis
MLP SE (MLP) currently trades at €7.95, while our model-based Fair Value estimate is €7.54 — implying the stock looks roughly 5.2% 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: high).
About the company
MLP SE, together with its subsidiaries, provides financial services to private, corporate, and institutional clients in Germany. It operates through Financial Consulting, Banking, FERI, DOMCURA, Industrial Broker, and Deutschland.Immobilien segments. The Financial Consulting segment offers consulting services for academics and other clients related to insurance, investments, and occupational pension provision schemes; and health and non-life insurance, real estate brokerage, wealth management, and loans and mortgages, as well as the brokering of contracts in financial services. The Banking segment provides banking services, such as accounts, credit cards, loans, and wealth management solutions. This segment also offers securities custody, commission, investment consulting, and investment brokerage services. The FERI segment provides wealth and investment consulting to institutional investors and high net worth individuals. The DOMCURA segment operates as an underwriting agency that …
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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.