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2026 Captive benchmarking report

Discover how captives are reshaping risk financing and driving long-term financial resilience.

Download the report

Organisations are seeking smarter ways to control risks, optimise capital, and enhance financial outcomes.

As a risk professional, captive buyer or insurer, you need concise, data-backed guidance to help you effectively leverage captives.

The 2026 Captive benchmarking report is a practical roadmap to help you evaluate, design, and optimise captives that align with your organisation’s risk and financial objectives.

Use this report to:

  • Get a clear roadmap to navigate the evolving captive landscape.
  • Learn about current market drivers, including pricing volatility and emerging risks, all backed by Marsh’s extensive data and expertise.
  • Discover practical guidance on every stage of the captive journey, from formation to optimisation, empowering you to evaluate the fit and maximize the value for your organisation.
  • Gain clarity, confidence, and actionable insights that will drive your organisation’s success today and into the future.

Don’t miss the opportunity to strengthen your risk financing strategy, protect your balance sheet, and stay ahead. Download the report.

This publication is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. The information contained herein is based on sources we believe reliable, but we make no representation or warranty as to its accuracy. Marsh shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting, or legal matters are based solely on our experience as insurance brokers and risk consultants and are not to be relied upon as actuarial, accounting, tax, or legal advice, for which you should consult your own professional advisors. Any modelling, analytics, or projections are subject to inherent uncertainty, and any analysis could be materially affected if any underlying assumptions, conditions, information, or factors are inaccurate or incomplete or should change.