Reporting

Reporting transforms accounts receivable data into insights on DSO, payment behavior, past-due balances, and expected cash inflows, enabling the Finance department to manage working capital and performance more effectively.

layers - planning and control

From Accounts Receivable Data to Cash Flow Insights

A list of outstanding invoices is not the same as effective Order-to-Cash reporting. It shows how much money customers still owe, but provides little insight into why that amount remains outstanding, whether the situation is improving, or when the payment is likely to actually be received.

Effective reporting adds that context. It links invoices, due dates, payment history, collections, disputes, and payments received, and uses this information to reveal how effectively the process from revenue to cash is actually proceeding.

This isn’t just about looking back. By recognizing patterns in payment behavior, reporting can increasingly look ahead: what cash inflows can we expect, where are the risks, and where do we need to make adjustments?

DSO is the starting point, not the end point

Days Sales Outstanding, or DSO, is likely the best-known KPI in accounts receivable. This metric indicates the average number of days revenue remains outstanding before it is collected. A rising DSO generally means that more working capital is tied up with customers; a falling DSO indicates a faster conversion of revenue into cash.

This makes DSO a valuable management metric. But a single number never tells the whole story.

For example, a DSO of 40 days can be excellent if customers are routinely given a 45-day payment term. The same DSO is less positive if the agreed-upon term is 14 days. Seasonal factors, rapid revenue growth, the proportion of large customers, and differences between countries or sectors can also significantly influence the average.

That’s why DSO must always be viewed in context. How has the KPI evolved over time? How does the actual payment duration compare to the agreed-upon terms? Which customer groups are causing an increase? And is this a broad trend or just a few large items?

It is precisely the combination of the average and the underlying distribution that makes reporting useful for management purposes.

Look Beyond the Average

Two organizations can have the same DSO yet still have completely different risk profiles.

At the first organization, nearly every customer pays a few days late. At the second, the majority pays right on time, but a small group of large invoices has been outstanding for months. The average may be comparable, while the required action differs fundamentally.

That is why other indicators are relevant in addition to DSO. Consider the percentage of invoices still outstanding after the due date, the distribution across aging categories, and the proportion of very old entries. Write-offs of uncollectible receivables also ultimately reveal what portion of revenue has not been converted into cash at all.

Current external benchmarks illustrate why this distinction is relevant. According to the Atradius Payment Practices Barometer 2026, nearly three-quarters of B2B revenue in the Netherlands is sold on credit. At the same time, slightly less than one in five B2B invoices remains unpaid after the due date. Write-offs for uncollectible receivables hover around 1% across the market, but can be significantly higher in more vulnerable segments.

A relatively good average payment culture therefore does not mean that payment risk is evenly distributed across the customer base. In fact, clusters of customers, sectors, or large transactions can have a disproportionate effect on cash flow.

Don’t Just Benchmark Against Yourself

Internal trends are important: is our DSO improving or worsening compared to the previous quarter or last year? But external benchmarks add a second perspective.

How do customers pay on average in our market? How do our payment terms compare to those of similar companies? Are payment delays primarily an internal problem, or are we seeing the same trend across the industry?

The differences can be significant. Atradius reports that by 2026, approximately one-quarter of B2B invoices in Western Europe will be paid after the due date, while the Netherlands ranks among the countries with the lowest incidence of overdue invoices. At the same time, nearly four out of five Western European companies report experiencing late payments from business customers.

The impact remains significant at the European level as well. In its European Payment Report 2026, Intrum reports that, on average, slightly more than 12% of revenue is received late. Sixty-two percent of the organizations surveyed say they, in turn, pay their suppliers later because customers pay late. As a result, liquidity pressure spreads throughout the supply chain.

A benchmark should not, however, become a blind goal. An organization with subscriptions, a project-based company, and a wholesaler have fundamentally different invoicing and payment patterns. Comparisons only become meaningful when sector, customer type, payment terms, and revenue model are taken into account.

The best benchmark is therefore often a combination: external market data for context and the organization’s own historical data to measure improvement.

Why does a customer pay late?

An overdue invoice indicates that a payment is late. For effective management, the underlying reason is particularly important.

Liquidity issues play a significant role in this. In the 2026 Atradius study, more than half of the companies in Western Europe cite liquidity pressure among customers as the main cause of late payments. In addition, administrative bottlenecks, banking delays, and technical issues related to digital invoicing and payment processes are mentioned.

But within an individual organization, other causes may also come to light. An invoice is disputed because the rate is incorrect. An order number is missing. The invoice was sent to the wrong contact person. A customer is deliberately waiting until a specific payment date. Or a financially strong customer simply uses long payment terms as part of its own working capital strategy.

These causes require different solutions.

In the case of liquidity issues, earlier contact or a payment arrangement may be necessary. Many disputes can be a reason to improve invoice creation. Administrative delays may call for better customer data or a different invoicing channel. Chronically slow payment behavior may be a reason to reevaluate payment terms or the collections strategy.

Reporting thus takes on a diagnostic function: not only showing that DSO is rising, but explaining why.

Also measure the effectiveness of collections

If only DSO and the total amount outstanding are measured, it remains unclear what the collections organization is actually achieving.

That’s why it’s useful to track what portion of the receivables due in a given period is actually collected. The movement of items between aging categories is also interesting: how many invoices that are 30 days past due today will be paid next month, and how many will move to the 60- or 90-day categories?

Other indicators provide insight into how the process itself works. How many customers respond to the first reminder? How often is a promise to pay made and then fulfilled? What percentage of invoices becomes disputed? How long does it take, on average, to resolve such a dispute?

This information clarifies where delays occur. If a large portion of overdue invoices consists of disputes, the solution likely does not lie in increasing collections activity. When customers do make payment arrangements but then frequently fail to honor them, this actually calls for a different follow-up strategy.

In this way, reporting shifts from measuring volume to analyzing processes.

From due date to expected cash-in

The due date on an invoice is a contractual date. It is not automatically the best predictor of when the money will actually be received.

A customer who, on average, paid the last twenty invoices five days before the due date has a different expected payment timing than a customer who consistently pays twelve days after the due date. When sufficient historical data is available, that actual payment behavior can be used to create a more realistic cash-in forecast.

Several factors can be combined in this process: the outstanding amount, the payment term, historical payment behavior, customer segment, ongoing disputes, payment promises, and changes in customer behavior.

This results in an important distinction between contractual cash-in and probable cash-in.

For Treasury, Finance, and Business Control, it is precisely this second perspective that is valuable. Not: Which invoices are due next week based on their due dates? But: What amount do we expect based on what these customers actually do?

Trends are often more important than absolute values

A specific KPI becomes particularly interesting when it changes.

A customer who always pays on day 40 may represent a familiar and anticipated pattern. When that same customer suddenly pays on day 55, then day 65, and then day 75, a trend emerges that warrants attention.

The same applies at a higher level. A slowly rising DSO, an increasing number of invoices in the oldest aging categories, or a growing number of disputes can be early warning signs of a problem that is barely visible in the total outstanding amount.

Reporting should therefore not only show static values but also flag changes. Where does behavior deviate from the customer’s own history? Which customer segments are moving in the wrong direction? Where is the gap between agreed-upon and actual payment times widening?

This also makes reporting more relevant for credit management. Current payment behavior becomes input for the customer’s risk profile and may prompt a reassessment of credit terms or limits.

From Dashboard to Decision-Making

Ultimately, a good dashboard doesn’t contain as many KPIs as possible. It makes it clear where action is needed.

DSO provides an initial indication of speed. Overdue receivables and aging show where money is tied up. Collections results indicate whether follow-up efforts are effective. Disputes account for part of the delay. Payment history helps predict future cash inflows. External benchmarks then put that performance into perspective.

When this information comes together, it creates a much richer picture than a traditional list of outstanding items.

The central question of reporting within Order to Cash is therefore not: how much is still outstanding today?

The better questions are: Why is it outstanding, how is it evolving, when do we expect to receive the funds, and where can we improve the process?

This transforms reporting from a post-hoc accountability exercise into a tool for daily management of working capital, customer behavior, and predictable cash inflows.

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