Best of LinkedIn: M&A Insights CW 27/ 28

Deal activity over the last two weeks reflected a more open market, but not a broad-based rebound. Capital continued to concentrate on scalable, resilient assets, while financing, diligence quality and integration readiness remained the main differentiators between announced deals and executable value creation. AI moved further into M&A workflows, but the content consistently reinforced that judgment, governance and operating discipline still determine outcomes.

Date

July 14, 2026

M&A Insights

Thomas Allgeyer

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

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Market Momentum

Deal value recovered faster than deal volume, pointing to renewed appetite for larger, higher-quality assets
European activity remained solid, but buyers stayed selective on valuation, defensibility and execution certainty
Regional and sector trends diverged, with pockets of strength in retail, wealth management and select domestic markets
Buyers favored recurring revenue, cash generation and cleaner financial profiles over speculative growth stories
A deeper pipeline is forming as private equity exits and corporate carve-outs return to market

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Deal Activity

Fintech remained one of the most active arenas, with deals centered on payments, lending infrastructure and embedded finance
Strategic buyers and investors targeted control points such as software platforms, transaction rails and customer access
Healthcare transactions focused on scale, portfolio focus and stronger category positioning
Software and industrial consolidation continued through platform acquisitions and cross-border expansion plays
Ownership change remained the dominant partnership model, outweighing looser commercial collaboration themes

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AI in M&A

AI adoption in M&A continued to rise, especially in screening, diligence support and workflow acceleration
The strongest use cases focused on speed and efficiency rather than direct revenue creation
The key bottleneck shifted from information collection to interpretation and decision-making
Emerging tools emphasized traceability, fact-checking and source-based outputs to improve trust in AI-enabled diligence
Human judgment remained central in assessing strategic fit, risk and value creation potential

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Execution Readiness

Preparation before launch emerged as a major value lever across sell-side and buy-side situations
Diligence readiness extended beyond finance into legal, tax, technology, cybersecurity and data governance
Weak process ownership and unclear advisor coordination were highlighted as recurring causes of friction
Buyers were reminded to evaluate liquidity strength, not just profitability, before pursuing acquisitions
Integration planning increasingly needs to start during diligence, not after closing
Credible synergy capture depends on governance, accountability and realistic execution assumptions

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Capital and Regulation

Financing remained one of the hardest constraints in the current M&A environment
Early work on debt capacity, capital structure and deal funding improved transaction certainty
Tax structuring continued to shape deal economics and seller outcomes in meaningful ways
Regulatory approval pathways remained highly relevant, especially in cross-border and financial-services transactions
Legal diligence was framed as a tool for pricing risk, allocating exposure and deciding whether to proceed

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