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Base your first analysis is on the most-likely forecasted demand of the1/16DINcontroller.Usethecost of materials, labor, and overhead from the past history of the most similar 1/4 DIN controller with the exceptions previously noted.

Category: Economics Paper Type: Online Exam | Quiz | Test Reference: APA Words: 520

1

2000

1666.666667

2

3000

2083.333333

3

3000

1736.111111

4

4000

1929.012346

5

4000

1607.510288

6

4000

1339.591907

7

4000

1116.326589

11478.55224

 In the most likely scenario the business will able to generate profit in the future (Pandey, 2015). In the beginning the profitability will be lower however in the upcoming years the net present worth of the business will increase significantly (Atrill, 2014).

Sensitivity Analysis

The sales of the 1/16 DIN controller are assumed to be strong. However, since this is a new-product introduction, there is a high probability that actual demand will vary from the initial projections. 

Sensitivity

Worst

Most likely

1

500

416.666667

1

2000

1666.666667

2

1000

694.444444

2

3000

2083.333333

3

1500

868.055556

3

3000

1736.111111

4

2000

964.506173

4

4000

1929.012346

5

2000

803.755144

5

4000

1607.510288

6

2000

669.795953

6

4000

1339.591907

7

200

55.8163294

7

4000

1116.326589

4473.04027

11478.55224

 In the worst case scenario the net present worth of the business will be lower than the most likely scenario. It means that in worst case scenario the business will unable to generate significant amount of profit (Christoffersen, 2011).

Further Analysis

Year 1

Year 2

Year 3

Year 4

Year 5

Year 6

Year 7

Total revenue

$2,000

3000

3000

4000

4000

4000

4000

Cost of Goods Sold

115,000

115,000

115,000

115,000

115,000

115,000

115,000

Gross profit

(113,000)

-112000

-112000

-111000

-111000

(111,000)

(111,000)

Selling & administrative expenses

0

0

0

0

0

0

0

Earnings before interest, taxes, depr. & amort. (EBITDA)

(113,000)

33660000

-112000

-111000

-111000

-111000

-111000

Depreciation

500,000

1000000

1500000

2000000

2500000

2500000

2500000

Earnings before Interest and taxes (EBIT)

(613,000)

32660000

-1612000

-2111000

-2611000

-2611000

-2611000

 Taxes (39%)

(239,070)

12,737,400

(628,680)

(823,290)

(1,018,290)

(1,018,290)

(1,018,290)

Net Operating Profit After-Tax (NOPAT)

(373,930)

19922600

(983,320)

-1287710

-1592710

-1592710

-1592710

Add back depreciation

500,000

1000000

1500000

2000000

2500000

2500000

2500000

Subtract Capital Expenditures

10,000,000

10000000

10000000

10000000

10000000

10000000

10000000

 

 

 

 

 

Free Cash Flow

($9,873,930)

10922600

-9483320

-9287710

-9092710

-9092710

-9092710

Change in working capital

PV

-9403742.857

20804952.4

-27095200

-35381752.4

-34638895.2

-34638895.24

-34638895.2

NPV

($34,638,895)

 The overall all analysis of the project indicates that in the most likely scenario the business can generate profit (Melville, 2017).

References of  past history of the most similar 1/4 DIN controller 

Atrill, P. (2014). Financial Management for Decision Makers (7 ed.). Pearson Higher Ed.

Christoffersen, P. (2011). Elements of Financial Risk Management. Academic Press.

Melville, A. (2017). International Financial Reporting: A Practical Guide (6 ed.). Pearson Higher Ed.

Pandey, I. (2015). Financial Management. Vikas Publishing House.

 Appendix 

Year 2 Year 3 Year 4 Year 5 Year 6 Year 7
3000 3000 4000 4000 4000 4000
115,000 115,000 115,000 115,000 115,000 115,000
-112000 -112000 -111000 -111000 (111,000) (111,000)
0 0 0 0 0 0
33660000 -112000 -111000 -111000 -111000 -111000
1000000 1500000 2000000 2500000 2500000 2500000
32660000 -1612000 -2111000 -2611000 -2611000 -2611000
12,737,400 (628,680) (823,290) (1,018,290) (1,018,290) (1,018,290)
19922600 (983,320) -1287710 -1592710 -1592710 -1592710
1000000 1500000 2000000 2500000 2500000 2500000
10000000 10000000 10000000 10000000 10000000 10000000
       
10922600 -9483320 -9287710 -9092710 -9092710 -9092710
20804952.4 -27095200 -35381752.4 -34638895.2 -34638895.24 -34638895.2
Sensitivity
Worst Most likely
1 500 416.666667 1 2000 1666.666667
2 1000 694.444444 2 3000 2083.333333
3 1500 868.055556 3 3000 1736.111111
4 2000 964.506173 4 4000 1929.012346
5 2000 803.755144 5 4000 1607.510288
6 2000 669.795953 6 4000 1339.591907
7 200 55.8163294 7 4000 1116.326589
4473.04027 11478.55224

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