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GREAT GIFT SHOP, INC. Income Statement for Year Ended December 31, 2019 -------------2019--------------- DOLLARS % OF SALES Sales Revenue 7,800,000 100.00% Cost of Goods Sold
GREAT GIFT SHOP, INC. | |||
Income Statement for Year Ended December 31, 2019 | |||
-------------2019--------------- | |||
DOLLARS | % OF SALES | ||
Sales Revenue | 7,800,000 | 100.00% | |
Cost of Goods Sold | 4,800,000 | 61.54% | |
Gross Profit | 3,000,000 | 38.46% | |
Selling Expense | 1,540,000 | 19.74% | |
General and Administrative Expense | 95,000 | 1.22% | |
Depreciation Expense | 125,000 | 1.60% | |
Operating Profits (EBIT) | 1,240,000 | 15.90% | |
Interest Expense | 750,000 | 9.62% | |
Profit Before Taxes | 490,000 | 6.28% | |
Less: Taxes @ 40% | 196,000 | 2.51% | |
Net Profit After Taxes | 294,000 | 3.77% | |
GREAT GIFT SHOP, INC. | |||
Balance Sheet As of December 31, 2019 | |||
-------------2019--------------- | |||
DOLLARS | % OF ASSETS | ||
ASSETS: | |||
Cash | 95,000 | 0.86% | |
Accounts Receivable | 1,200,000 | 10.87% | |
Inventories | 3,200,000 | 29.00% | |
Total Current Assets | 4,495,000 | 40.73% | |
Net Fixed Assets | 6,540,000 | 59.27% | |
TOTAL ASSETS | 11,035,000 | 100.00% | |
LIABILITIES AND EQUITY: | |||
Accounts Payable | 1,750,000 | 15.86% | |
Notes Payable | 800,000 | 7.25% | |
Accruals | 75,000 | 0.68% | |
Total Current Liabilities | 2,625,000 | 23.79% | |
Long-Term Debt | 3,885,000 | 35.21% | |
TOTAL LIABILITIES | 6,510,000 | 58.99% | |
Common Stock at Par Value | 50,000 | 0.45% | |
Paid-In Capital in Excess of Par Value | 75,000 | 0.68% | |
Retained Earnings | 4,400,000 | 39.87% | |
TOTAL STOCKHOLDERS' EQUITY | 4,525,000 | 41.01% | |
TOTAL LIABILITIES AND EQUITY | 11,035,000 | 100.00% |
Calculate the following ratios for 2019 for Great Gift Shop, Inc.:
b. debt ratio: 60%
c. return of equity: 10.5%
d. current ratio: 1.3
e. inventory turnover: 8.1
f. times interest earned: 2.5
g. net profit margin: 3.78%
h. return on Toal assets: 4.36%
e. Based on the ratios you have calculated above, does Great Gift Shop, Inc. appear to be stronger or weaker than the industry average data? Which specific ratios led you to this conclusion?
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