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flatexDEGIRO SE (FNNTF) Fair Value & Analysis

Financial Services · US · Market cap $4.0B

Price$37.20
Fair Value$13.30
Upside-64.2%
Quality95/100
Evidence: High Range $9.97 – $16.62

Analysis

flatexDEGIRO SE (FNNTF) currently trades at $37.20, while our model-based Fair Value estimate is $13.30 — implying the stock looks roughly 64.2% 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

flatexDEGIRO SE, together with its subsidiaries, provides online brokerage and IT solutions for banking and securities in Europe. The company operates through two segments, flatex and DEGIRO. The company offers online brokerage services, including execution-only securities transactions under the flatex brand; funds, saving plans, stocks, crypto, exchange-traded products, and exchange-traded funds; and services for professional traders under the ViTrade brand. It also provides securities settlement and payment transaction processing services; development and operation of securities settlement; business process outsourcing; securities-backed loans; and treasury products, such as overnight and fixed-term deposits, bank and government bonds, cash loans, and mortgage bonds, as well as undertakings for collective investment in transferable securities and special funds. In addition, the company purchases, develops, produces, distributes, and maintains software and hardware; and supplies an…

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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.