Business Valuation

Maximizing Sales Price Through Improved Reporting Quality

In the exit process, data quality is more critical than ever in determining the purchase price. Especially in times of economic uncertainty, the figures must be reliable, and risk premiums for potential investors must be kept as low as possible.

An SME employer working on a laptop in the production hall

Why Reliable Data Quality Is Crucial for Valuation, Timing, and Bargaining Power in a Sale

When purchasing a company or a stake in a company, potential buyers evaluate the business model based on the underlying financial and projected data and use this to determine the purchase price. Any ambiguities that arise in this process lead to risk discounts.

Reliable, consistent, and transparent reporting structures therefore lay the foundation for a stable and convincing valuation and underpin the company’s track record with a quantifiable framework of facts and figures. Especially in challenging economic times, data quality thus becomes a strategic success factor.

This article explains why reporting quality is crucial for the purchase price, timing, and confidence in negotiations.

Improving Data Quality Increases Market Value

Experienced entrepreneurs know their business model like the back of their hand. Often, they do not manage their business using key metrics and Excel spreadsheets, but rather “read” daily operations based on various factors. If these value drivers are not made sufficiently visible and measurable during the sales process, the potential buyer may view them less favorably. That’s why a quick glance at the order book or bank balance is usually not enough. Rather, an integrated solution is needed that discloses all KPIs—such as adjusted EBITDA—in detail.

Practical experience consistently shows that companies with solid operational performance often face significant valuation discounts during the sales process. The reason: a lack of transparency in the numbers and insufficient supporting documentation. A lack of granularity, inconsistent KPIs, or insufficiently documented planning assumptions complicate the due diligence process.

Market experience shows that a targeted improvement in reporting quality can increase the achievable purchase price—depending on the initial situation—by up to 15%. Data quality in reporting thus becomes a direct value driver—not just during the sales process, but already in the years leading up to it.

Due Diligence: Where Purchase Prices Are Determined

Due diligence is not a mere formal review step, but a standardized process for preparing a purchase decision. During this process, a vast amount of data and information is analyzed, and just as many questions are asked. Those who are well-prepared have a strong negotiating position here.

During the transaction process, buyers analyze in particular:

  • the stability and sustainability of earnings

  • the transparency and flexibility of cost structures

  • the scalability of the business model

  • the robustness of planning and forecasts

Transparent reporting makes it possible to present these factors clearly and consistently—and, if necessary, down to the detail or cost center level. Due diligence also includes inquiries regarding individual journal entries or scenarios. Those who have already prepared the answers are the ones who steer the process.

Time is money: How transparent data accelerates the exit

The quality of reporting has a significant impact on the duration of the sales process. A lack of granularity, inconsistent financial data, or unaligned KPIs can significantly prolong the due diligence process. Each additional round of review ties up management resources, increases consulting costs, and worsens market timing. At the same time, the risk of external disruptions increases—ranging from economic shifts to one-time operational effects.

“Mechanisms are often established during purchase negotiations that require a detailed allocation of accounts or items, such as working capital adjustments. If structured reporting is in place here—and is also based on robust financial processes—time-consuming discussions can be avoided,” says Elena Salinitro, Head of Partner Management & Director at loyos bi.

Opportunities for Mid-Sized Companies

Not all small and medium-sized enterprises have developed and established their reporting structures over the years. This becomes a problem when a company is sold, because the buyer’s need for transparent figures does not end with the transaction. That is why it is particularly valuable for SMEs to set up their reporting in such a way that the following questions can be answered at any time based on the data:

  • Are there reliable KPIs?

  • Are cost and margin structures presented transparently?

  • Is the operating result clearly separated from one-time items?

  • Are all planning assumptions documented in a traceable manner?

Transparent, consistent reporting gives sellers the opportunity to substantiate their value proposition with facts and to engage in discussions at a strategic level—rather than debating the validity of individual figures. The quality of reporting thus determines not only day-to-day management but also the realization of value creation during the sale.

Being prepared pays off

Good preparation is everything. It avoids time pressure, compromises, and an increased risk of errors. Companies that have established a transparent reporting structure early on achieve consistently high data quality—with positive effects on the sales process and operational management.

System-supported reporting solutions can make a significant contribution here. Transparent dashboards instead of countless Excel files enable:

  • consistent KPI definitions

  • clear separation of raw data and adjustments

  • real-time updates instead of ad hoc processing

  • faster, structured due diligence processes

For both buyers and sellers, the Financial Management Suite from loyos bi reduces the workload on internal reporting teams during the sales phase. At the same time, this fosters long-term reporting maturity that improves not only the sale but also operational management.

Conclusion: Data quality determines purchase price and timing

Maximizing the purchase price is the result of long-term structural decisions. Companies that invest early in robust reporting structures create transparency, trust, and speed.

It is not the business model alone that determines the purchase price—but rather the ability to reliably demonstrate its value.

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