NN Group (NN) Fair Value & Analysis
Financial Services · NL · Market cap €18.8B
Analysis
NN Group (NN) currently trades at €75.96, while our model-based Fair Value estimate is €41.36 — implying the stock looks roughly 45.6% 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: medium).
About the company
NN Group N.V., a financial services company, provides life and non-life insurance products in the Netherlands and internationally. It operates through the Netherlands Life, the Netherlands Non-Life, Insurance Europe, Japan Life, and NN Bank segments. The company provides insured defined benefit, defined contribution, pensions under the Nationale-Nederlanden brand name; premium pension institution services under the BeFrank brand name; and general pension fund administration and advisory services under AZL brand name, as well as non-life insurance products, including motor, fire, liability, transport, travel, health, and disability and accident insurance products. It also provides long-term protection to cover a variety of risks including disability, critical illness and health; and protection, savings and retirement solutions. In addition, the company offers financial services, such as savings, investments, bancassurance and mortgages under the Woonnu brand name. The company offers …
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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.