Author name: Horizon Team

In mergers and acquisitions, some buyers are willing to pay more than standard valuation multiples when a target company creates unique strategic value.

Artificial intelligence is rapidly transforming how mergers and acquisitions (M&A) deals are evaluated.

A well-organized data room accelerates due diligence, builds buyer confidence, and reduces the risk of valuation discounts during a business sale. Buyers rely on data rooms to verify financial performance, operational stability, legal compliance, and growth assumptions.

Before discussing valuation multiples, buyers quietly screen potential acquisitions using a set of key performance indicators (KPIs) that reveal risk, scalability, and earnings quality.

A retrade occurs when a buyer attempts to renegotiate price or deal terms after signing a Letter of Intent (LOI), typically during due diligence. Buyers retrade when they uncover new risks, question financial assumptions, detect performance changes, or reassess market conditions.

When selling a business, most owners focus on valuation and cash at closing. But in many mid-market transactions—especially those involving private equity—buyers propose an equity rollover.

Interest rates directly influence business valuations, buyer behaviour, deal structure, and exit timing. When rates rise, borrowing becomes more expensive, which can reduce acquisition leverage and pressure valuation multiples.

When acquiring a SaaS company, buyers focus on revenue quality, customer retention, scalable growth, unit economics, and operational predictability.

When selling a business, the headline purchase price rarely equals what the owner ultimately takes home. Hidden costs—such as working capital adjustments, transaction fees, tax structuring, earn-outs, rollover equity risk, and post-closing obligations—can significantly reduce net proceeds.

The mid-market M&A landscape entering 2026 looks fundamentally different from what many business owners remember from prior sale cycles.