Identifying value in private businesses through operational data

An investor providing credit to middle-market private companies wanted to understand the underlying value of the businesses behind its loans. Traditional financial reporting provided visibility into profitability, liquidity, and credit risk, but offered limited insight into the operational factors driving enterprise value.

The information needed for deeper analysis existed within each company’s data rooms and operating systems. However, operational records, cash flows, margins, and business-unit performance were scattered across different sources and reported in inconsistent formats.

100xPartners implemented an AI-assisted analytical solution that brings this information together, helping the investor identify operational improvement opportunities and make better-informed investment decisions.

The challenge: Limited visibility into the drivers of business value

The investor held credit positions across private operating companies, each with different financial systems and reporting practices.

While financial statements showed overall business performance, they did not explain the underlying causes of declining profitability or weakening cash flow.

Identifying issues such as weak working-capital management, poor cash conversion, or underperforming business units required investment professionals to retrieve and reconcile detailed operational records manually.

Without a consistent operating view, assessing where value could be recovered, or whether a restructuring could unlock it, required substantial additional investigation.

The solution: Turning operational data into investment intelligence

100xPartners implemented an AI-assisted workflow that analyzes underlying financial and operational records across portfolio companies.

The solution:

• Consolidates information from data rooms and business records, including revenue, expenses, margins, working capital, and cash flows.
• Analyzes profitability, working capital, and operating performance across business units.
• Identifies inefficiencies and opportunities to improve financial performance.
• Provides detailed operating insights to support borrower engagement, restructuring, and other investment decisions.
• Connects analytical findings to underlying records for verification.

Instead of relying solely on borrower financial summaries, the investor can examine the operational factors influencing each business’s value.

The outcome: Better insight for investment and operating decisions

The implemented solution gives the investor greater visibility into the businesses behind its credit positions.

For existing borrowers, operational analysis helps identify potential improvements in working capital, cash conversion, and profitability.

Where a business could be worth more under a different structure, the same information supports the evaluation of restructuring options, including credit-to-equity transactions.

The fundamental change is moving beyond reported financial performance to understanding where value is created or lost within each business, providing a stronger foundation for credit management, restructuring, and operational improvement.