What is an AR aging report and how do I read it?
An AR aging report lists every open invoice grouped by how long it's been outstanding — current, 1-30, 31-60, 61-90, and 90+ days past due. Read it by tracking the bucket distribution over time, not just the total; a shrinking current bucket and growing 90+ bucket signal a collections problem before it shows up in a blended DSO figure.
Part of the accounts receivable and collections guide.
| Standard aging buckets | Current, 1-30, 31-60, 61-90, 90+ days past due |
|---|---|
| What it's grouped by | Customer and invoice, with amount and due date |
| What to track over time | The bucket distribution trend, not just the total AR balance |
| Most common data-quality issue | A customer record or credit memo that didn't sync to the report's source system |
What's actually on the report
Each row is an open invoice: customer name, invoice number, amount, due date, and days past due, which places it into one of the standard aging buckets. The report totals both by customer (how much a given customer owes across all their open invoices) and by bucket (how much total AR sits in each aging category), which is what makes it useful for two different jobs at once — collections prioritization by customer, and portfolio health assessment by bucket.
Reading it for portfolio health
A single month's snapshot tells you less than the trend across several months. If current and 1-30 hold steady as a share of total AR while 61-90 and 90-plus grow, that's the earliest reliable signal of a developing problem — a specific customer sliding toward non-payment, or a systemic issue like a credit policy that's stopped matching how customers are actually behaving. Because DSO is a single blended number, it can stay roughly flat even while a small, worsening pocket of the portfolio is quietly heading toward write-off.
When the report doesn't tie to the general ledger
The aging report's total should equal the AR balance on the general ledger. When it doesn't, the most common causes, in order, are: a payment applied to the wrong invoice, making one account look overdue and another look paid when neither is accurate; a customer record change (a merged duplicate, an address update) that didn't sync between the system generating invoices and the system the aging report pulls from, orphaning invoices from the correct customer total; and a credit memo or dispute resolved in a support tool but never reflected back in the AR subledger, leaving a balance the customer has already been told they don't owe.
Using it to forecast collections
A simple forecast applies each bucket's typical collection rate to its current balance: current and 1-30 day balances collect at a high rate, historically close to full value for most portfolios; 31-60 somewhat lower; and 90-plus meaningfully lower, reflecting the real risk that a portion never gets collected at all. Applying a company's own historical collection rates per bucket, rather than a generic industry assumption, produces a forecast that's specific to how that company's actual customers behave.
Next step
Map the finance workflow with the most exposure and prove the automation path.
Bring the invoice, contract, payment reconciliation, or customer finance workflow you have to defend at audit. Loopfour can map the trigger, controls, integrations, and approval loop.
Worked example
Two customers, same total, different risk
Customer A owes $50,000, all of it current (not yet due). Customer B also owes $50,000, but $35,000 of it is over 90 days past due. Both show the same total on a customer-balance summary, but the aging report reveals completely different risk profiles: Customer A is a healthy, on-time account, while Customer B has $35,000 that historically collects at a meaningfully lower rate and may need escalation, a payment plan, or a bad-debt reserve, not just a standard reminder. A report that only showed total balance owed, without the aging breakdown, would treat these two accounts identically — which is exactly why the bucket-level view is the report's whole point.
Frequently Asked Questions
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AR & Collections
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