Butler Lumber

Published: 2021-06-29 04:28:12
essay essay

Category: Business

Type of paper: Essay

This essay has been submitted by a student. This is not an example of the work written by our professional essay writers.

Hey! We can write a custom essay for you.

All possible types of assignments. Written by academics

GET MY ESSAY
Butler Lumber Company is a private business owned by sole proprietor named Mark Butler. He already financed his firm with $247,000 debt provided by Suburban National Bank. Now, he starts to wonder whether to finance more money. He hopes more fund would ease the firm’s lack of cash. The other bank, Northrop National Bank, already proposes secured 90-day note that does not exceed $465,000 to him. Mr. Butler is unsure whether to accept the loan or not. Therefore, he is now sitting on the fence.To address the company’s need of debt financing, we have calculated working capital for Butler Lumber Company. It turns out that, from 1988 to 1990, the working capital are $262,000, $326,000 and $440,000 respectively. It can be seen that the amounts rose over time. Greater working capital reflects Butler Lumber’s shortage of cash. Even though account payable increases over time, working capital still becomes greater. To explain, it can be supposed that the firm with larger account receivables and inventory is not efficient to turn its account receivables and inventory into cash. However, in reality, what firms really need is cash, not account receivables or inventory. That is why larger working capital overtime shows the sign of Butler Lumber being illiquid.To support the ideas above, we also calculate cash cycle. The calculation is compounded with three different factors namely receivable conversion period, payable conversion period and inventory conversion period [See Appendix I]. First, from 1988 to 1990, receivable conversion periods are 36.78, 35.63 and 36.51 days respectively. These numbers exceed 30-day credit terms. Therefore, it can be assumed that Butler Lumber fails to collect its receivables within due date. Second, we obtain the numbers for payable conversion period that are 35.41, 37.84 and 40.04 days. The numbers increase over time. This is relevant to the fact that receivable conversion period is long and firm’s cash is very limited. Long payable conversion period also makes Butler Lumber fail to get early payment discount. This may consequently hold the firm back from being good at price competition. Lastly, the cash cycle we calculated, from 1988 to 1990, are 72.75, 69.54 and 66.11 days. All in all, receivable conversion period and payable conversion period show that the firm fails to manage its receivables effectively which consequently leads it to late supplier payment.To conclude, calculated cash cycle does not present any significant change over years. Moreover, continued sales growth in the future is predicted. To serve such growth, firm needs an expansion. Thus, debt financing would allow the firm to expand their assets. Also, with poor receivable management and the lack of liquidity, Butler Lumber fails to deliver payments to its suppliers within time. It, therefore, causes the company to miss purchase discount that would reduce its raw material cost. These are the reasons why Mr. Butler wants to find the source of!2fund to improve his liquidity and pay back his suppliers even though the firm’s sales are in the good state.Balance Sheet Projection for the year 1991-1994To answer whether the company needs $465,000 loan, we have projected balance sheet and income statement for the year 1991-1994.Year 1991 Balance Sheet Projection:To begin the projection for the year 1991, we used the year 1991 estimated sales given by the case study ($3,600,000) as a multiplier. Then, we calculated forecast factor for each item on the statements (i.e. account receivable, operating expenses). To calculate forecast factors, we figured out the percentage of sales for each item on the balance sheet using data over the year 1989 to 1990. Next, we calculated an average percentage of sales for each item. Such percentage reflects the data over the 3 previous years (1989 to 1990). [See Appendix II and Appendix III] Once we obtained the percentages, we multiplied them with sales ($3,600,000). Finally, we acquired projected values. To illustrate the clear method, we show the examples of our calculation below.

Warning! This essay is not original. Get 100% unique essay within 45 seconds!

GET UNIQUE ESSAY

We can write your paper just for 11.99$

i want to copy...

This essay has been submitted by a student and contain not unique content

People also read