SCOR SE (SDRC) Fair Value & Analysis
Financial Services · DE · Market cap €5.5B
Fair value as of: Jun 26, 2026
Analysis
SCOR SE (SDRC) currently trades at €31.82, while our model-based Fair Value estimate is €63.64 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
SCOR SE, together with its subsidiaries, provides life and non-life reinsurance products in Europe, the Middle East, Africa, the Americas, Latin America, and the Asia Pacific. It operates in two segments, SCOR P&C and SCOR L&H. The SCOR P&C segment offers reinsurance products in the areas of property, motors, casualty treaties, credit and surety, decennial insurance, aviation, marine and energy, engineering, cyber agricultural risks, and binders and facilities; It also provides business solutions including corporate risk insurance, as well as specialist lines, such as Political and Credit risk and Environmental Liability; and binders and facilities. The SCOR L&H segment provides life reinsurance products, such as protection for mortality, morbidity, behavioral risks, disability, long-term care, critical illness, medical, and personal accident. This segment also provides financial solutions that combine traditional life reinsurance with financial components and provide liquidity, bal…
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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.