Excel

(cost of goods manufactured in 2008/ sales value for units produced in 2008) * ending inventory 2008

The sales budget is prepared by multiplying the expected unit sales volume for each product by its anticipated unit-selling price. As reflected in Exhibit A noted below and included in the overall Peyton Approved budget worksheet included in Appendix A, Peyton Approved expects sales volume to be 18000, 22000 and 20000 units in the month of July, August and September respectively. The budgeted sales in August exceeded July's sales units by 4000 units, however, sales declined in September by 2000 units from August. Peyten Approved budgeted sales price per units for the quarter was based on a sales price of $18 per unit. Thus, budgeted total dollars per month are

I have project that the first-year revenue of $20,000 and a 15% growth rate for the next two years. The complete cost of sales is projected to average 50% of gross sales, including 40% for the purchase of equipment and 10% for the purchase of additional items. Net income is projected to reach $70,000 in four three as sales increase and operations become more

| General Manufacturing expects to have 40,000 pounds of raw materials inventory on hand on June 30, the end of the current year. The company has budgeted the following production for the first four months of the coming year:

Quarterly Sales Quarterly Specialy Items October November December Totals Expected Unit Sales 1,500 800 1,600 3,900 X Price Per Unit $3.50 $3.50 $3.50 $3.50 Equals Total Net Sales $5,250 $2,800 $5,600

Firm size |Sales per work |Compare to 1991 | |Large |$120,000 |gain 9% | |Medium |$84,000 |decline 11% | |Small |$80,000 |off 2% | |

Consider an economy that produces and consumes bread, coffee, and automobiles. In the following table, we have data for two different years. The first 2 questions refer to this table. Year 2007 Year 2008 $20,000 $21,000 $1.25 $1.50 $2.00 $2.10 100 120 100,000 115,000 400,000 380,000

This project for Illustrated Excel Module 2 refers to Camile, who owns a franchise of electronics stores with locations in four cities. Camile wants to analyze the sales and sales taxes paid for the most popular products. Through analyzing Camile’s sales, students learn how to estimate expenses, how to examine sales tax amount and calculate an average tax rate, along with how to determine a final revenue. The problem is solved through navigating external sheets, using relative and absolute references, generating function and non-function based equations, and utilizing formatting tools.

The purpose of this report is to provide our client, Buddy`s Floor Barn, with an assessment of how their company is doing in their sales department. The information used to make this assessment was gathered from 18 locations in four regions across 5 product lines over the last 3 quarters. Over the course of 3 months the regional managers gathered sales revenue from each of their regions in order to provide a more accurate analysis of sales revenue. The sales information was compiled in a data list and then populated in a pivot table in order to answer various questions requested by the client. The problem with this assessment is that we will only be able to provide an analysis for the 3 quarters

The sales forecast is based on projected levels of demand. All the numbers are expressed

The cost-volume-profit analysis is a form of cost accounting and an important part of this analyses is the break-even point.

E. Estimate the firm’s ROA beginning when the net or after-tax income is expected to be positive.

EBIT EBIT*(1-t) Dep Capex A/R Inventory A/P WC FCFF NPV 2010 2011 2012 2013 2014 2015 2016 (1,250) 583 994 1,277 1,392 1,503 1,623 (750) 350 596 766 835 902 974 0 152 152 152 152 164 178 1,470 952 152 152 334 361 389 0 729.4931507 1112.0718 1363.1471 1472.1982 1589.9708 1717.1718 0 359.661 500.121 396.008 426.724 460.858 497.724 0 330.118 496.601 605.884 653.308 705.575

Demand Management "1st Week "2nd Week "3rd Week "4th Week "5th Week "6th Week "7th Week "8th Week " "Weekly Demand for Bread " 23,500 " 23,000 " 21,500 " 15,050 " 13,600 " 11,500 " 5400 " 1800 " "Working days in Month " 5 " 5 " 5 " 5 " 5 " 5 " 5 " 5 " "MPS Daily Demand for Bread " 4700 " 4600 " 4300 " 3010 " 2720 " 2300 " 1080 " 360 " "

period (based on operating schedules and budgets) in terms of materials used, labor cost, and overhead cost, and then determining how much of this production, if any, was used to build up