FomularFormulaOpertating cycle(oc)=AAI+ACP. Cash conversion cycle(ccc)=AAI+ACP-APPSGR = ROE* X Retention Rate (RR)/1 – ROE X RRCurrent ratio= Current assets /Current liabilities Quick ratio = Current assets – Inventory –Prepaids(Acid test)/ current liabilities 6. Cash ratio = Cash + Marketable securities/ current liabilities 7. Receivables turnover = Annual credit sales/Accounts receivable 8. Receivables collection period = 365/ Receivables turnover9. Inventory turnover = Cost of goods sold /Average inventory10. Inventory period [86 days] = 365 /Inventory turnover [4.24] 11. Payables turnover [7.61] = Operating expenses /Average accounts payable 12. Payables period [48 days] = 365_/ Payables turnover [7.61]
13. Asset turnover ratio [1.405] = Sales [$400,988]/ Total assets 14. Debt ratio [.19] = Total debt [$53,313] /Total assets [$285,484] 15. Debt-to-equity ratio [0.38] = Total debt [$53,313] /Total equity [$141,928] 16. Interest coverage [14.81] = EBIT*_[$35,438]/ Interest charges [$2,393]17. Leverage under the DuPont ratio is:Assets-to-equity ratio [2.011] = Total assets [$285,484] /Equity [$141,928] 18. Gross profit margin [0.12] = Sales – Cost of goods sold /Sales Return on assets [0.08] = Net earnings [$22,851] /Total assets [$285,48 Return on equity (ROE) [0.161] = Net earnings /Shareholders’ equity Return on sales (ROS) [0.057]= Net earnings [$22,851]/ Sales [$400,988] Sales to EBITDA* ratio [7.93] = Sales /EBITDA [$35,438 + $15,121]
3. Asset Aims & Values of Corporate
4.1. Global
A. Global Revenue
(Global)
In order to make estimates for the global sales of products & services in order to reflect the high sales of product and service across different US industries, our estimates are based on all business locations with an estimated revenue of approximately $60 Billion. Based on the same revenue model used for the US market, for the same product and service prices, a product sales revenue of approximately $60 million would be estimated for each American market.
An overview of the company’s US sales can be found on the company’s website .
In order to be able to obtain a precise analysis of their global sales of products and services, we will first determine the number of local (or global) products sold per year for each city in the US and for the US states. As the cities of which we have a list of products and services are the same region as the US, there is no way to compare them. There is no way to distinguish products, services, sales & prices from each other because there is an equal number of retail sales and products in a given region. Our calculations also can’t make any conclusions whatsoever, for the specific regions where each product is produced we will need to create a separate list for each category.
With the exception of sales, which are mainly on the domestic markets, all prices are calculated using the US dollar, except for that listed in the global price guide . Prices for products and services are listed as follows to aid comparative comparability:
Chicago (Avenue), San Francisco (Avenue), Washington, Orange County (Avenue), Santa Cruz (Avenue), Denver (Avenue). You will notice that this is the US (US territory. That is, the US territories are divided in half. The US states are represented by 1 State, including California, Florida, Georgia, Maryland, Illinois, Montana, Nevada and New York). The top half of the global product price map (i.e., the US price map) has the blue map. The state price maps are the state capitals.
A few other notable differences between the product pricing information on the product listings page and the product sales information on the sales page:
The product listings page includes all product pricing data for the US States and the US states as well as the local pricing data. The local price tables differ from what is listed on product listings and sales in the US. The local price maps are different. Instead of the data that is usually provided online, some of the US data may be shown at a high price. Other information can include data taken out of the US which can be used to calculate their own profit margins and the local taxes and other fees. The data must be compiled with the local markets in mind. There are also more local markets in which our current price database has not yet been compiled. Finally, the local prices shown in the product listings page are not data generated by the US Bureau