SCOR SE (SCR) Fair Value & Analysis
Financial Services · FR · Market cap €5.5B
Analysis
SCOR SE (SCR) currently trades at €31.44, while our model-based Fair Value estimate is €61.92 — implying the stock looks roughly 96.9% 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…
Open the full interactive analysis →
Similar stocks
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.