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Burford Capital Limited (BUR) Fair Value & Analysis

Financial Services · US · Market cap $966M

Price$4.16
Fair Value$5.83
Upside+40.1%
Quality80/100
Evidence: Medium Range $3.39 – $5.83

Analysis

Burford Capital Limited (BUR) currently trades at $4.16, while our model-based Fair Value estimate is $5.83 — implying the stock looks roughly 40.1% undervalued today. We read business quality at 80/100 (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

Burford Capital Limited provides legal finance products and services worldwide. The company operates in two segments, Principal Finance, and Asset Management and Other Services. The Principal Finance segment provides capital against the underlying value of high-value single or multiple litigation and arbitration matters at any stage of the process from before filing to after a final judgment has been entered; and to a law firm that has agreed to take a case on a contingent fee or alternative fee basis, as well as directly to the client. This segment also offers legal risk management and adverse legal cost insurance services. The Asset Management and Other Services segment manages legal finance assets on behalf of third-party investors, as well as provides other services to the legal industry. The company was incorporated in 2009 and is based in Saint Peter Port, Guernsey.

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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.