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Unit 12: Receivables Management



            Monitoring of Receivables                                                             Notes


            1.   Computation of average age of receivables: It involves computation of average collection
                                Accounts Receivable at time chosen
                 period as follows:
                                      Average daily sales
            2.   Ageing schedule: An important insight into the collection pattern of the preparation of
                 their ageing  schedule. In  this, receivables  are  classified  according  to  their  age,  say
                 1-30 days, 31-60 days, 61-90 days, 91-120 days and 121 days and above. This classification
                 helps the firm in its collection efforts and enables the management to have a closer control
                 over the quality of individual accounts. The agency schedule provides an effective method
                 of comparing the liquidity of receivables with the liquidity of receivables in the past as
                 well as that of another firm in the same industry. This comparison can be made periodically.
                 The ageing schedule provides a useful supplement to average collection period receivables/
                 sales analysis.
            3.   Collection programme:
                 (a)  Monitoring the state of receivables

                 (b)  Intimating to customers when due date approaches
                 (c)  Telegraphic and telephone advice to customers on the due dates
                 (d)  Threat of legal action on overdue accounts
                 (e)  Legal action on overdue accounts.

            4.   Collection matrix: In order to correctly study the changes in the payment behaviour of
                 customer, it is helpful to look at the pattern of collections associated with credit sales. The
                 following table shows an illustrative collection matrix.

                   Example: The credit sales during the month of January are collected as follows:

            10% in January (the month of sales), 42% in February (the first following month), 36% in March
            (the second following month) and 12% in April (the third following month).
            From  the  collection  pattern, one  can  judge  whether the  collection is  improving,  stable  or
            deteriorating. A secondary benefit of such an analysis is that it provides a historical record of
            collection percentage. That could be useful in projecting monthly receipts for each budgeting
            period.
                                           Collection Matrix

               Percentage of receivables colleted   Jan   Feb   March   April   May
                        during the         Sales    Sales    Sales    Sales     Sales
               Month of sales               10       14       13       15        9
               First following month        42       35       38       40        35
               Second following month       36       40       26       21        26
               Third following month        12       11       23       19        25
               Fourth following month                                   5        5










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