Calculating Aging in Excel

What this does

An ageing analysis turns a list of unpaid invoices into a statement of how long the money has been owed and how much sits in each time band. It is two columns of work: a days-outstanding number, and a bucket label derived from it. A PivotTable over the bucket column then totals the amount per band, which is the figure a credit-control meeting actually runs on. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. Treat “calculating aging in excel” as a small repeatable workflow rather than a one-off click you hope to remember next time. Use a small test block before the live file, so any surprise in the affected cells shows up while it is still harmless. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That turns a calculation you can defend to a CFO or an auditor into a method you can reuse, explain, and defend when the workbook leaves your screen.

A worked example

B2 holds the invoice date 2026-06-02. Run on 2026-08-14, C2 =TODAY()-B2 returns 73 once the cell is formatted as a number rather than a date — and 74 the next morning, because TODAY() moves with the calendar. D2 =IFS(C2<=30,"0-30",C2<=60,"31-60",C2<=90,"61-90",TRUE,"90+") returns 61-90, and a PivotTable with D as rows and the amount as values shows 18,400 sitting in that band. Cash collection is prioritised by band, so the bucket boundaries decide which customer gets called this week — and a mis-formatted days column hides the whole picture behind a column of 1900 dates. If there is any chance you will reuse this, drop it into a small template tab right now: a labelled input area on the left and the formula beside it, checked once against the tool above. Next time the same question comes up, the answer is a single paste away instead of a rebuild from memory.

In Google Sheets

Google Sheets handles this almost identically to Excel. The formula syntax above is the same, and the menu lives under a slightly different label rather than a ribbon tab. Use the platform toggle at the top of the page to switch every keyboard shortcut between Windows and Mac, and expect at most cosmetic differences in naming. Keep this page bookmarked for the next time the same question comes up. Better still, rebuild the example once in your own sheet — doing it yourself, with the tool above to check against, is what turns a copied formula into a technique you own. If you take one thing from this page on “calculating aging in excel”, make it the habit rather than the keystrokes: set the problem up with labelled inputs, reference those cells, and let Excel do the recomputing. Bookmark the page for the syntax, but do the example once in a blank sheet and check it against the tool above — five minutes of hands-on practice fixes the method in memory far better than re-reading, and it surfaces the small snags while they are still harmless. After that the technique is genuinely yours: faster than searching for it again, and reliable enough to drop into work that other people depend on.

Common mistakes

• Leaving the days column formatted as a date, so 73 displays as a day in March 1900.
• Not saying whether the report ages from the invoice date or the due date — the two produce different bands for the same ledger.
• Hard-coding a report date instead of TODAY(), which quietly stops updating.
• Writing overlapping bucket boundaries such as <=30 and >=30, which puts day 30 in whichever band the formula happens to test first.

Frequently asked questions