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jok3333 [9.3K]
2 years ago
5

The Maurer Company has a long-term debt ratio of .60 and a current ratio of 1.20. Current liabilities are $940, sales are $5,120

, profit margin is 9.30 percent, and ROE is 16.90 percent. What is the amount of the firm's net fixed assets?
Business
1 answer:
garri49 [273]2 years ago
5 0

Answer:

The amount of the firm's net fixed assets is $4,321

Explanation:

Profit margin = Net income/ Sales

Net income = Profit margin x Sales = 9.30% x $5,120 = $476.16

ROE = Net Income/Equity

Equity = Net Income/ROE = $476.16/16.90% = $2,818

Long-term debt ratio = Long-term debt/Equity

Long-term debt = Long-term debt ratio x Equity = 0.6 x $2,818 = $1,691

Basing on accounting equation:

Total asset =Current Liabilities + Long-term debt + Equity = $940 + $1,691 + $2,818 = $5,449

Current ratio = Current asset/Current Liabilities

Current asset = Current ratio x Current Liabilities = 1.2 x $940 = $1,128

Fixed assets = Total asset - Current asset = $5,449 - $1,128 = $4,321

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Presented here is basic financial information (in millions) from the annual reports of Nike and Adidas.
Zinaida [17]

Answer and Explanation:

Nike

$18,627÷ ($2,494.7a+ $2,795.3b)/2

$18,627÷$2,645 = 7.0 times

Adidas

$10,299÷$1,415c+ $1,459d)/2

10,299÷$1 437= 7.2 times

2,566.2 – 71.5

b2,873.7 – 78.4

c1,527 – 112

d1,570 – 111

Average collection period

Nike

365÷7.0= 52.1 days

Adidas

365÷7.2

= 50.7 days

Therefore Adidas's accounts receivable turnover was about 3% higher [(7.2 – 7.0) ÷7.0] than that of Nike's, which simply means that Adidas was slightly more efficient than Nike in turning accounts receivable into cash.

8 0
2 years ago
Libby Company uses the percentage of credit sales method for calculating Bad Debt Expense. The company reported $226,500 in tota
PSYCHO15rus [73]

Answer:

The estimated amount of Bad Debt Expense for the year is $12,950

Explanation:

According to the given data we have the folloiwng:

reported sales during the year= $226,500

credit sales=$185,000

Libby has experienced bad debt losses of 7% of credit sales in prior periods

Therefore, in order to calculate the estimated amount of Bad Debt Expense for the year we would have to make the following calculation:

estimated amount of Bad Debt Expense=credit sales×bad debt losses percentage of credit sales in prior periods.

Hence, estimated amount of Bad Debt Expense= $185,000× 7%

estimated amount of Bad Debt Expense= $12,950

The estimated amount of Bad Debt Expense for the year is $12,950

4 0
2 years ago
Maria Queen was reviewing her business activities at the end of the year (2022) and decided to prepare a Retained Earnings State
fiasKO [112]

Answer:

Retained earnings at the beginning of the year;

Equity = Common stock + Retained earnings

Retained earnings =  Equity - Common stock

Equity = Assets - Liabilities

= 700,000 - 210,000

=$490,000

Retained earnings = 490,000 - 200,000

=$290,000

........................................................Maria Queen..................................................

.....................................Statement of Retained Earnings..................................

.........................................For the year ended 2022..........................................

Opening Balance...............................................................................$290,000

Add:

Net Profit .............................................................................................$220,000

Less:

Dividends.............................................................................................($120,000)

Retained Earnings, 31 Dec 2022............................................$390,000

5 0
2 years ago
Hart Manufacturing makes three products. Each product requires manufacturing operations in three departments: A, B, and C. The l
Serjik [45]

Answer:

Objective function:

Maximize Z: 30P1 + 25P2 + 28P3

Subject to:   2.00P1 + 1.50P2 + 3.00P3 ≤ 450 (Department A constraint)

                    2.50P1  + 2.00P2 + P3       ≤ 350 (Department B constraint)

                    0.25P1  + 0.25P2 + 0.25P3 ≤ 50  (Department C constraint)

                           P1, P2, P3                       ≥  0 (Non-negativity)

Explanation:

The objective function is formulated from the contribution margin of the three products. For instance, the contribution of Product 1 is $30, the contribution of Product 2 is $25 and the contribution of Product 3 is $28. Thus, the objective function will be 30P1 + 25P2 + 28P3.

The constraints were obtained from the departmental labour hours requirements for each product. For instance, Product 1 requires 2 hours in department A, Product 2 requires 1.50 hours in department A and Product 3 requires 3 hours in Department A. Thus, the constraint will be 2.00P1 + 1.50P2 + 3.00P3.

8 0
2 years ago
In Los Angeles County, the median price rose 0.5% to $618,000 in June and sales fell 12.1%.
svet-max [94.6K]

Answer:

Part 1 : -7.6

Part 2: 15.2%

Part 3: Orange County

Explanation:

Part 1. Price Elasticity:

The formula for Price Elasticity is:

Price Elasticity = Percentage Change in Quantity Demanded divided by the percentage change in price.

So,

We need percentage change in price and percentage change in quantity demanded in order to solve for price elasticity of demand in San Bernardino County.

So,

As we know that,

In San Bernardino County, the median price rose 1.5% to $340,000 and sales fell 11.4%.

Hence,

The Percentage Change in Price = 1.5

The Percentage Change in Quantity Demanded = -11.4

Just Plugging in these values in the Price Elasticity formula, we get:

Price Elasticity of Demand = -11.4 / 1.5

Price Elasticity of Demand =  -7.6

Part 2: Condition Given: If Price increased by 2%

So,

In this we are asked to find the percentage change in quantity demanded.

Therefore, we will use the same formula of Plasticity of demand.

Price Elasticity of Demand = Percentage Change in Quantity Demanded divided by the percentage change in price.

Making Percentage Change in Quantity Demanded as subject:

Percentage Change in Quantity Demanded = Price Elasticity multiplied by the percentage change in price.

Here,

Percentage Change in price = 2%

Price Elasticity of Demand =  -7.6

Just plugging in these values in to the formula:

Percentage Change in Quantity Demanded = -7.6 x  2

Percentage Change in Quantity Demanded = -15.2

Therefore, Holding the price elasticity of demand constant, sales in San Bernardino County would fall by _15.2_% if prices increased by 2%.

Part 3:

To solve this part, first we need to understand the law of demands:

Law of demands says that the relationship of change in price and change in quantity demanded is inversely proportional keeping all other factors constant. So, if price goes high, quantity demanded will go down and vice versa.

And here,

In _Orange__ County, the law of demand appears to be violated.

5 0
2 years ago
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