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A Quality of Earnings (QoE) review can be crucial in some complex M&A transactions for both buyers and sellers. It enhances credibility and transparency for sellers, sometimes supporting higher valuations. It mitigates financial risks and builds the basis for an acceptable ROI for buyers. However, a QofE can be expensive and time-consuming. It may also reveal unfavorable insights, resulting in potentially tough negotiations or, in extreme situations, even deal termination.
In the dynamic realm of private company mergers and acquisitions (M&A), a transformative force has emerged recently, reshaping the entire process: Artificial Intelligence (AI). This blog article explores the multifaceted impact of AI on the future of M&A, delving into key areas such as deal sourcing, due diligence, post-merger integration, valuation and pricing, and risk management.
Mergers and Acquisitions (M&A) success hinges on both parties agreeing on a fair valuation of the target company. When differences arise, those differences must be addressed or the deal will not close. This requires clear communication of each party's goals, conducting fact-based due diligence, considering creative deal structures, recognizing synergies, using independent valuations, and including non-financial considerations.