New data challenges belief that small M&A transactions are lower risk

Research published this week by Tokio Marine HCC suggests that smaller mergers and acquisitions are responsible for the most severe transaction risk insurance losses, challenging the common assumption that modestly sized deals carry lower risk.

The analysis, based on more than 500 claims and payouts exceeding £110m, shows that 80% of TMHCC's largest losses involved transactions with an enterprise value under £200m.

Despite a market trend toward low or zero retentions on smaller deals, TMHCC warns that these transactions still pose meaningful exposure.

The findings also show a shift toward later claims notifications. Historically, claims made more than three years after policy inception represented less than 10% of the total. By 2023 and 2024, these later notifications rose to around 20%. Early claims have declined too, falling from more than 65% of notifications in 2021 to just over 20% in 2024.

Naomi Barnes, senior claims counsel and TRI lead at TMHCC, said: “"Our claims data tells a clear story: deal size is not a reliable proxy for risk. Our experience shows that smaller deals can still produce significant losses. Every M&A transaction, large or small, carries material breach of warranty exposure.”



Share Story:

YOU MIGHT ALSO LIKE


Building cyber resilience in a complex threat landscape
Cyber threats are evolving faster than ever. This episode explores how organisations can strengthen defences, embed resilience, and navigate regulatory and human challenges in an increasingly complex digital environment.

The Future of Risk & Resilience with AI & Data
CLDigital's Co-Founder, Tejas Katwala, joins CIR Magazine to discuss how CLDigital is transforming enterprise risk and resilience. By integrating business processes, AI and data-centric strategies, organisations can move beyond compliance to proactive risk management – simplifying operations, strengthening resilience, and driving business performance. Listen now to explore the future of intelligent risk management.