Past Due refers to an invoice that has not been paid by its agreed due date. The amount and severity of past due AR is the primary signal collections teams use to prioritise outreach and assess credit risk.
Every business operates with credit terms: customers receive goods or services and pay days or weeks later. When the agreed payment date passes without payment, the invoice becomes past due. The faster a team responds to past-due invoices, the higher the eventual recovery rate. The slower the response, the more likely the receivable becomes bad debt. Past Due is the operational trigger for every collections workflow and the most important quality signal in any AR organisation.
Past due AR is typically grouped into standard aging buckets:
The aging report (the standard AR diagnostic) shows the distribution of total open AR across these buckets. Healthy B2B aging profiles typically keep 70 to 85 percent of total AR in the current bucket and under 5 percent past 60 days.
Most past-due invoices fall into four root causes.
Each root cause requires a different collections approach. A process failure resolves with one phone call; an intentional delay requires relationship leverage; a dispute requires resolution of the underlying issue; a cash flow problem requires payment plan negotiation.
Mistake 1: Threshold-based collection. Many teams trigger collections at day 15 or 30 past due, missing the highest-value window of day 1 to 5 when customer response is most likely.
Mistake 2: Dollar-prioritised coverage. Manual teams focus on the largest overdue balances, leaving the long tail of smaller invoices to age. The long tail typically converts to bad debt at much higher rates than the larger invoices that get attention.
Mistake 3: Same approach for every cause. Sending a dunning email to a customer disputing the invoice doesn't address the dispute. Best-practice collections diagnose the past-due root cause before selecting the workflow.
Mistake 4: No leading indicator monitoring. Teams that only react to past-due invoices miss customers shifting from on-time to chronically late. Tracking customer payment behaviour shifts pre-emptively catches issues before they become bad debt.
AI-native collections platforms close the three structural gaps in past-due management:
Mid-market collections teams typically reduce 60+ days past due AR by 30 to 50 percent within 90 days of agentic deployment, with bad debt write-offs declining 25 to 40 percent over 12 months.
The terms "overdue" and "past due" are used interchangeably in B2B finance, though "past due" tends to be the formal accounting term used in aging reports and collections workflows, while "overdue" tends to be the term used in customer communications and management discussions. Both refer to the same operational reality: an invoice has not been paid by its agreed due date.
In dunning workflows, an invoice becomes overdue on day 1 past the due date and remains overdue (or past due) until paid, written off, or referred to third-party collections. Standard aging reports group overdue invoices into 1 to 30, 31 to 60, 61 to 90, and 90+ day buckets, with each bucket carrying different collection risk and operational treatment.
For finance teams reporting to leadership, the distinction is rhetorical rather than operational. Use "past due" in formal AR aging reports and credit policy documentation; use "overdue" in customer-facing communications and operational discussions where the more direct word lands better.
Past Due means an invoice has not been paid by its agreed due date. It is the operational trigger for collections action and is the primary signal collections teams use to prioritise outreach and assess credit risk.
Past Due AR is grouped into aging buckets: 1 to 30 days, 31 to 60 days, 61 to 90 days, and 90+ days past due. The aging report shows the distribution of total open AR across these buckets and is the standard AR diagnostic for assessing collection risk.
Best-practice collections teams contact every customer within 1 to 3 days of going past due, regardless of invoice size. Many process failures (lost invoice, AP approval delay) resolve immediately with one contact. Manual teams that wait until day 15 or 30 miss the highest-value response window.
Receivables aging past 90 days past due have 3 to 5 times higher write-off rates than current or recently past due AR. The exact bad debt conversion timing varies by industry and customer profile, but the 90-day threshold is the standard inflection point in B2B credit policy.
Yes significantly. AI-native collections platforms achieve 100 percent past-due coverage within 24 hours of an invoice going overdue, versus 30 to 40 percent typical for manual teams. The long tail of smaller invoices starts converting to cash, reducing 60+ days past due AR by 30 to 50 percent within 90 days.
Best-practice prioritisation considers customer risk score (likelihood of payment), dollar amount, days past due, and any open disputes. Manual teams default to dollar-prioritised coverage which misses the long tail. AI-driven prioritisation balances all factors and ensures full coverage rather than concentration on the largest balances.
