Billings & Collections

Accounts Receivable Aging: Definition, Report Structure, and How to Use It in Financial Planning

Accounts Receivable (AR) Aging shows how long customer invoices have been outstanding. It groups unpaid invoices into time buckets, making it easy to see which customers pay on time and which might need attention.

An AR aging report helps finance teams forecast cash flow more accurately, strengthen collections processes, and spot early signs of credit risk.

See it live in Pluvo

What Is AR Aging?

AR Aging organizes open invoices based on how long they’ve been past due. Most reports use 30-day buckets, such as 0–30, 31–60, 61–90, and 90+ days overdue.

The goal is simple: give you a clear view of expected cash inflows and highlight payment behavior across your customer base.

This metric is a core part of any working capital analysis because it shows where cash is tied up, which customers may be struggling, and how well your invoicing and follow-up processes work.

Why AR Aging Matters

Aging data creates a more realistic picture of upcoming cash flow. It helps you:

  • Identify overdue accounts before they escalate

  • Reduce the risk of bad debt

  • Understand which customers consistently pay late

  • Inform credit limits, terms, or collection strategies

  • Improve forecast accuracy and revenue timing

By reviewing aging regularly, finance teams avoid unpleasant surprises and maintain stronger liquidity.

How AR Aging Reports Work

Most aging reports break outstanding invoices into these common buckets:

  • 0–30 days: Within normal terms

  • 31–60 days: Slightly overdue

  • 61–90 days: At-risk territory

  • 90+ days: High probability of nonpayment

A complete report usually includes:

  • Customer name

  • Invoice number

  • Invoice amount

  • Due date

  • Days past due

  • Notes or payment terms

This structure makes it easy to see where to focus collections efforts and which accounts may need follow-up conversations.

Example of an AR Aging View

Here’s a simplified example of what you might see:



Customer

Amount Due

Days Past Due

Aging Bucket

Client A

$8,000

10 days

0–30

Client B

$12,500

45 days

31–60

Client C

$3,200

92 days

90+

From this, it’s clear which invoices should be prioritized and which accounts may require changes in terms or a deeper discussion.

How to Interpret AR Aging

You’ll generally want:

  • Most invoices in the 0–30 day bucket

  • Few invoices in 31–60

  • Minimal amounts in 61–90

  • Little or nothing in 90+

A report weighted heavily toward later buckets often signals issues with invoicing timing, follow-up processes, customer creditworthiness, or broader economic stress.

Benchmarks for AR Aging

There is no single “right” aging distribution, but common targets include:

  • Low percentages in overdue buckets

  • Consistent invoice processing cycles

  • Stable customer payment behavior over time

A healthy aging pattern contributes to cleaner forecasting and fewer last-minute cash adjustments.

Common Mistakes When Using AR Aging

  • Treating the report as static rather than reviewing trends

  • Waiting too long to follow up on overdue accounts

  • Ignoring customer-specific payment patterns

  • Using the same credit terms for all customers

  • Allowing aging buckets to grow without documented actions

  • Forgetting to reconcile aging reports during month-end close

Avoiding these mistakes keeps your aging report reliable and actionable.

Related Metrics to Track With AR Aging

Pair aging analysis with metrics that add deeper context:

  • Days Sales Outstanding (DSO)

  • AR Turnover

  • Average Collection Period

  • Average Days Delinquent

  • Collections Effectiveness Index

  • Invoice Status

Together, these give a complete view of collection health and cash conversion timing.

How to Analyze AR Aging in Pluvo

Step 1: Import or map your outstanding invoices into Pluvo.
Step 2: Pluvo organizes them into aging buckets automatically.
Step 3: Use scenarios to see how changes in terms or follow-up processes affect cash timing.
Step 4: Connect aging results to your cash flow model to understand how delayed payments affect hiring, expenses, and runway.

This makes aging a dynamic planning tool rather than a static report.

Try This Metric in Pluvo

See how AR Aging influences cash flow and scenario planning.

Explore AR Aging in Pluvo → Book a demo

FAQs

What does a “good” AR Aging report look like?

Most invoices fall within the 0–30 day bucket, with minimal amounts aging past 60 days.

How often should companies review AR Aging?

Monthly for most teams, weekly for companies with high invoice volume or tight cash cycles.

What causes invoices to move into later buckets?

Slow customer payments, unclear invoice terms, billing errors, or weak follow-up processes.

How does AR Aging relate to DSO?

Aging shows the distribution of overdue amounts. DSO summarizes the overall time it takes to collect payments.