Answer:
Margin of safety in dollars is $91,000
Margin of safety as percentage of sales is 26%
Explanation:
Margin of safety can be defined as the amount of output or sales that a business can make before it reaches its breakeven point.
To calculate margin of safety in dollars
Margin of safety= Sales - Breakeven sales
Margin of safety= 350,000- 259,000
Margin of safety= $91,000
To calculate margin of safety as a percentage of sales, we use the following formula.
Margin of safety = (Sales- Breakeven point) ÷ Sales
Margin of safety = (350,000- 259,000)÷ 350,000
Margin of safety= 0.26= 26%
Answer:
1. Margin of Safety(MOS) expressed in dollars =91,000
2. Margin of Safety(MOS) expressed as percentage = 26% (to the nearest whole number)
Explanation:
The MARGIN OF SAFETY is applied as a measure of the difference between the actual sales and break-even sales.
In other words, to find Margin of Safety, you subtract break-even sales from the actual sales.
MOS is used to determine at which level sales can drop before a business incurs losses. It is a tool by which actual or budgeted sales may be decreased without resulting in any loss.
1. Formula for Margin of Safety(in dollars):
Margin of Safety(in dollars) = Actual/Budgeted Sales ➖ Break-even Sales
Where:
Actual Sales = $350,000
Break-even Sales = $259,000
➡ Margin of Safety(in dollars) = $350,000 ➖ $259,000 = 91,000(ans)
2. Formula for Margin of Safety (expressed as a percentage) = [(Actual/Budgeted Sales ➖ Break-even Sales) ➗ Actual/Budgeted Sales] ✖ 100%
Where:
Actual Sales = $350,000
Break-even Sales = $259,000
➡ Margin of Safety (in percentage) = [($350,000 ➖ $259,000) ➗ $350,000] ✖ 100%
= ($91,000 ➗ $350,000) ✖ 100%
= 0.26 ✖ 100% = 26%(ans).
Answer:
$213,250
Explanation:
The calculation of cash inflow is shown below:-
Expected cash collections
For the month of June
Months Sales Percentage Expected collections
April $282,500 5% $14,125
May $213,750 30% $64,125
June $225,000 60% $135,000
Total collection in the month of June $213,250
Here we assume Sales for April$282,500, May $213,750 and June $225,000.
Please ignore the last value as it is not relevant to the question
Steel 1.18 30%
Financial
Services 1.14 70%
The average tax rate for these industries is 40%.
In the most recent period, the company you are analyzing earned 70% of its operating income from steel and 30% from financial services. The firm also had a debt/equity ratio of 150%, and a tax rate of 30%. Estimate the levered beta for the company.
Answer:
The levered beta for the company is 1.93.
Explanation:
Levered beta for the company = (Weight of steel business*levered beta of steel business) + (Weight of financial services business*levered beta of financial services business)
Levered beta of steel business = Unlevered beta of steel sector*[1+(1 - firm's tax rate)*(firm's debt/equity ratio)
levered beta of financial services business = Unlevered beta of financial services sector*[1+(1 - firm's tax rate)*(firm's debt/equity ratio)
Unlevered beta of steel sector = Current beta of steel sector/[1+(1 - avg. tax rate of firms in the sector)*(Avg. debt/equity ratio of the sector)
Unlevered beta of steel sector = 1.18/[1+((1-0.4)*0.3)]
Unlevered beta of steel sector = 1.18/[1+(0.6*0.3)]
Unlevered beta of steel sector = 1.18/(1+0.18)
Unlevered beta of steel sector = 1.18/1.18
Unlevered beta of steel sector = 1
Levered beta of steel business = 1*[1+((1-0.3)*1.5)]
Levered beta of steel business = 1*[1+(0.7*1.5)]
Levered beta of steel business = 1*(1+1.05)
Levered beta of steel business = 1*2.05
Levered beta of steel business = 2.05
Unlevered beta of financial services sector = Current beta of financial services sector/[1+(1 - avg. tax rate of firms in the sector)*(Avg. debt/equity ratio of the sector)
Unlevered beta of financial services sector = 1.14/[1+((1-0.4)*0.7)]
Unlevered beta of financial services sector =1.14/[1+(0.6*0.7)]
Unlevered beta of financial services sector = 1.14/(1+0.42)
Unlevered beta of financial services sector = 1.14/1.42
Unlevered beta of financial services sector = 0.80
Levered beta of financial services business = 0.8*[1+((1-0.3)*1.5)] = 0.8*[1+(0.7*1.5)] = 0.8*(1+1.05) = 0.8*2.05 = 1.64
Levered beta for the company = (0.7*2.05) + (0.3*1.64)
Levered beta for the company = 1.44 + 0.49
Levered beta for the company = 1.93
Hence, the levered beta for the company is 1.93.
To estimate the levered beta for a company with operations in multiple sectors - steel and financial services in this case - you take a weighted average of the sector betas based on earnings distribution to get the unlevered beta. You then adjust for the company's debt/equity ratio and tax rate to get the levered beta. The estimated levered beta for this company is 2.378.
To estimate the levered beta for the company, we first need to consider the betas for each of the sectors the company operates in - steel and financial services. Given the firm's earnings distribution, the unlevered beta is computed as 0.7*Steel Beta + 0.3*Financial Services Beta = 0.7*1.18 + 0.3*1.14 = 1.16.
Next, to calculate the levered beta, we need to factor in the firm's debt/equity ratio. We use the formula for the levered beta: Levered Beta = Unlevered Beta * (1 + (1 - Tax Rate) * D/E ratio). Substituting the values we have: Levered Beta = 1.16 * (1 + (1 - 0.3) * 1.5) = 1.16 * 2.05 = 2.378. Therefore, the estimated levered beta is 2.378.
#SPJ11
B) His instrumentality estimates will be lower and his expectancy estimates will remain the same
C) His expectancy estimates for the next quarter will be lower
D) Neither her expectancy nor instrumentality estimates will change
E) His expectancy estimates for the next quarter will be higher
Answer:
Option E
His expectancy estimates for the next quarter will be higher
Explanation:
Will Presley's expectancy rate will be higher in the next sales quarter. This is because he feels that the birth of his new baby is instrumental to his his poor sales performance. Now that he feels that factor has been taken out of the way, he expects that there will be a great increase in the next sales quarter.
$'000
Net sales $1,230
Cost of goods sold $520
Operating expenses $440
Net income $390
Balance sheet data:
$'000
Average total equity $2,400
Average total assets $4,000
Supreme reported earnings per share for the year of $4 and paid cash dividends of $1 per share.
At year-end, the Wall Street Journal listed Supreme's capital stock as trading at $88 per share.
Required:
Compute the following:
a). Gross profit rate
b). Supreme's operating income (in millions)
c). Return on assets
d). Return on equity
e). Price-earning ratio
Answer:
a. Gross profit rate = Gross profit / sales
= $710,000 * 100
$1,230,000
= 57.72%
b. Supreme Operating Income
Gross Profit $710,000
Operating expenses (440,000)
Operating Profit 270,000
c. Return on Asset = Return/ Average Asset
= $390,000 * 100
$4,000,000
= 9.75%
d. Return on equity = Return / Average equity
= $390,000 * 100
$2,400,000
= 16.25%
e. Price-earnings ratio = Market price per share / earnings per share
= $88/ $4
= 22
Explanation:
Computation of Gross profit
$'000
Net Sales 1,230
Cost of goods sold (520)
Gross Profit 710
b. real wages will have fallen
c. nominal and real wages will have changed by the same percentage.
d. real wages will be lower than was expected.
Answer:
The correct option is (d)
Explanation:
Real wages are nominal wages less inflation. Nominal wage is not adjusted for inflation. Everyone had expected an inflation of 3% per year while increase in wages per year is 5%. This implied that they will expect real wage of 2% (5% - 3%) per year.
However, it turned out that inflation was 5% per year. This means that real wages were actually 0% (5% - 5%). There was no increase in real wages at all. So, they received lower real wage (actually nil) as against expected real wage of 3% per year.
Answer:
The depreciation expense for 2017 is $14,400
Explanation:
Coronado Industries uses the units-of-production depreciation method to calculate Coronado Industries by the following formula:
Depreciation Expense = [(Cost of asset − Residual Value ) x Number of Units Produced]/Life in Number of Units
In the company,
Depreciation Expense per mile = ($108,800-$3,000)/132,250= $0.8
The truck was 18000 miles in 2017, so the depreciation expense for 2017:
18,000 x $0.8 = $14,400