Lazard, Inc (LAZ) Fair Value & Analysis
Financial Services · US · Market cap $4.8B
Analysis
Lazard, Inc (LAZ) currently trades at $40.49, while our model-based Fair Value estimate is $12.43 — implying the stock looks roughly 69.3% overvalued today. We read business quality at 92/100 (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
Lazard, Inc. operates as a financial advisory and asset management firm in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company operates through two segments, Financial Advisory and Asset Management. The Financial Advisory segment offers financial advisory services, such as mergers and acquisitions, capital markets, shareholder, sovereign, geopolitical, and other strategic advisory services, as well as restructuring and liability management, and capital raising and placement services. This segment offers its services to corporate, partnership, institutional, government, sovereign, and individual clients to various industry areas, including consumers and retail; financial institutions; financial sponsors; healthcare and life sciences; industrials; media, entertainment, and sports; power, energy, and infrastructure; real estate; technology; and telecom and digital infrastructure. The Asset Management segment offers a range of investment solutions; investmen…
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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.