Definition
Receivables aging breaks accounts receivable into buckets by how long invoices have been outstanding (for example 0-30, 31-60, 61-90 days).
Example
If 70% of AR is in 0-30 and 15% is in 61-90, collections risk is rising.
How to use it
- Use aging to find collections risk and prioritize follow-ups.
- Aging trends often predict future bad debt and cash strain.
- Review aging by customer segment to spot high-risk cohorts.
Common mistakes
- Letting disputed invoices sit in the oldest bucket without resolution.
- Ignoring payment terms changes that shift aging buckets.
Measured as
Measure Receivables Aging with the same date, unit basis, and accounting or policy definitions used in the rest of your model.
Misused when
- Letting disputed invoices sit in the oldest bucket without resolution.
- Ignoring payment terms changes that shift aging buckets.
Operator takeaway
- Use aging to find collections risk and prioritize follow-ups.
- Aging trends often predict future bad debt and cash strain.
- Review aging by customer segment to spot high-risk cohorts.
- Tie Receivables Aging to the same balance-sheet date, scenario, and decision memo you are using elsewhere in the model.
- Document which claims, costs, or adjustments your team includes before comparing numbers across forecasts, covenants, or valuation work.
Next decision
- Read Cash conversion cycle: turn working capital into runway if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide whether Receivables Aging belongs in cash planning, valuation, or debt monitoring so the number is used in the right model.
Where to use this on MetricKit
Guides
- Cash conversion cycle: turn working capital into runway: A practical guide to the cash conversion cycle (CCC): how AR/AP timing changes cash, how to reduce days outstanding, and why runway depends on working capital.