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Microlesson · 5-min read

Monitoring of Receivables (Ageing Schedule, Average Age) & Debt Collection Programme

## Monitoring of Receivables

Granting credit is only half the job — receivables must then be monitored so that liquidity is maintained and slow-payers are caught early. Regular tracking is what keeps receivables management efficient and cash flowing.

### Methods for Monitoring Receivables

1. Computation of Average Age of Receivables (Average Collection Period)

Measures, on average, how long it takes to collect a rupee of credit sales. A rising average age signals deteriorating collection efficiency and tightening liquidity.

2. Ageing Schedule

Classifies outstanding receivables by how old each is (e.g. 0–30 days, 31–60 days, 61–90 days, 90+ days). It:

  • gives better control by bucketing receivables by age,
  • helps predict collection patterns and liquidity trends,
  • compares current receivables with past data and with competitors,
  • identifies slow-paying customers so corrective action can be taken.

3. Comparison with Past Trends & Other Firms

Analysing receivables over time lets a firm recognise whether sales and collection trends are improving or declining, and benchmark against peers.

> Why two methods? Average age gives a single summary number; the ageing schedule shows the distribution behind that number. A stable average can still hide a growing tail of very old, near-doubtful accounts — only the ageing schedule reveals it.

### Debt Collection Programme

Once monitoring flags overdue accounts, a structured, escalating collection programme is followed:

StepAction
1. Monitoring receivablesRegularly track outstanding payments
2. Intimation to customersSend reminders before the due date
3. Follow-ups via email & phoneContact customers on the due date
4. Escalation & legal warningWarn overdue accounts of potential legal action
5. Legal action on overdue accountsIf still unpaid, initiate legal steps

The escalation is deliberately graduated — gentle reminders first, legal action only as a last resort — to protect customer goodwill while still recovering dues.

Worked example

### Example 1

How an ageing schedule exposes a hidden problem: Two firms each report an average collection period of 45 days. Firm A's ageing schedule shows nearly all receivables in the 0–60 day buckets. Firm B's shows a chunk sitting in the 90+ day bucket, offset by many very fast payers. The identical average masks the fact that Firm B is carrying ageing, potentially doubtful debts. This is why the ageing schedule is used alongside the average age — the summary statistic alone can mislead.

⚠️ Common exam mistakes

  • Relying only on the average collection period and ignoring the ageing schedule — the average can hide a growing pool of old, doubtful accounts.
  • Treating the ageing schedule as a static report rather than a comparative tool — its power comes from comparing across time periods and against competitors.
  • Jumping straight to legal action; the debt-collection programme is deliberately graduated (pre-due reminder → on-due follow-up → escalation/warning → legal action) to preserve goodwill.
  • Sending reminders only after the due date has passed — the programme starts with intimation before the due date.
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