Talanx AG (TLLXY) Fair Value & Analysis
Financial Services · US · Market cap $33.8B
Analysis
Talanx AG (TLLXY) currently trades at $60.33, while our model-based Fair Value estimate is $109.24 — implying the stock looks roughly 81.1% undervalued today. We read business quality at 89/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Talanx AG provides insurance and reinsurance products and services worldwide. The company offers life, casualty, third-party liability, space insurance, legal protection, fire, burglary and theft, tap water, plate glass, storm damage, comprehensive householders, comprehensive homeowners, hail, livestock, engineering, omnium, marine, business interruption, travel assistance, aviation and space liability, credit and surety, extended coverage, fire and fire business interruption insurance products, other property, and other non-life products. It also provides bancassurance activities; motor, life and property, fire, casualty, health, personal accident, and specialty insurance products, unit-linked life, annuity, term life, occupation disability; aviation and agricultural business; coverage for cyber and digital risks; parametric solutions; and structured reinsurance, as well as facultative and nat cat business; and asset management businesses. In addition, the company offers insurance …
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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.