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Case Study: Predicting Cost of Goods

April 13, 2006


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This example looks at predicting the cash outflows in the cost of goods sold category in order to prepare a cash flow budget. A cash outflow falls under this category if it is for the purchase of inventory items resold to your customers or for inventory items used to manufacture an end product.

Scott Derby owns a store called the "Top Hat." His store specializes in selling - you guessed it - hats! Scott purchases all his hats from special hat suppliers and resells them to his customers.

Scott is preparing a cash flow budget for the first six months of 2001, and needs to predict his cost of goods sold to complete the budget. To determine his cash outflows for the budget, Scott will use the sales and cost of goods sold information listed on his tax returns from the previous four years. Using this information allows Scott to determine the percentage relationship between sales and the cost of goods sold.

The following chart summarizes the information from his tax returns, and shows the cost of goods sold percentages for the previous four years:

  A B C
Tax Return Year Sales Cost of
Goods Sold
Cost of Goods
Sold Percentage
C = (B/A)
2001 $410,970 $245,226 59.67%
2000 408,024 245,345 60.13%
1999 396,108 232,793 58.77%
1998 389,566 238,453 61.21%

From the information listed above, Scott has determined that his cost of goods sold has been averaging about 59.95 percent of his total sales over the last four years. Scott will use this percentage to predict his cash outflows for the six month cash flow budget he is preparing for 2002. In his budget he will assume that his cash outflows for the cost of goods sold will continue to average about 59.95 percent of his forecasted sales. The following chart summarizes his budgeted cash outflows for the cost of goods sold.

  A B C
Month Forecasted
Sales
Cost of Goods
Sold Percentage
Projected
Cost of
Goods Sold
C = (A x B)
January $35,000 59.95% $20,983
February 32,500 59.95% 19,484
March 32,000 59.95% 19,184
April 31,000 59.95% 18,585
May 36,000 59.95% 21,582
June 37,300 59.95% 22,361



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