In: Finance
REGRESSION AND RECEIVABLES
Edwards Industries has $400 million in sales. The company expects that its sales will increase 14% this year. Edwards' CFO uses a simple linear regression to forecast the company's receivables level for a given level of projected sales. On the basis of recent history, the estimated relationship between receivables and sales (in millions of dollars) is as follows:
Receivables = $13.50 + 0.13(Sales)
Part a: Year end balance of receivables
Sales leat year = $ 400 mn
Growth in sales = 14%
Sales expected this year = Sales last year * (1 + growth in sales)
Sales expected this year = $ 400 mn * (1 + 14%)
Sales expected this year = $ 456 mn
As given by the regression relationship, the receivables can be calculated as:
Receivables = $ 13.50 + 0.13 * (Sales)
Receivables = $ 13.50 + 0.13 * ($ 456 mn)
Receivables = $ 13.50 + $ 59.28 mn = $ 13.50 + $ 59,280,000 = $ 59,280,013.50
Receivables = $ 59.28 mn
At the end of the year, the receivables balance should be $59.28 mn.
Part b: Days Sales Outstanding Ratio
The Days Sales Outstanding (DSO) ratio can be calculated as:
DSO = Receivables / (Total Credit Sales / 365)
Assuming all sales were made on credit (no other information given),
Receivables: $ 59.28 mn ...(calculated above)
Total Credit Sales = $ 456 mn ....(calculated above)
Accordingly, we can calculate DSO as:
DSO = 59.28 / (456 /365)
DSO = 59.28 / 1.24931
DSO = 47.45
Company's year end days sales outstanding ratio would be 47.45