SBS Corporation Industrial Detergent Feasibility Analysis: NPV, IRR, and Sensitivity Study Assignment

School

Universiti Putra Malaysia (UPM)

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Assignment Type

Individual Assignment

Subject

SBS Corporation Industrial Detergent Feasibility Analysis

Uploaded by Malaysia Assignment Help

Date

11/30/2024

Project Overview

SBS Corporation has developed a new industrial detergent for motor vehicle garages. To commence production, the project requires an initial equipment investment of RM1.2 million and net operating working capital equal to 10% of the 1st-year sales amount, with subsequent years requiring 15% of the next year’s sales. The project is planned for a 5-year life cycle with operational continuity throughout.

Key Financial Details:

  • Sales Projections:
    • 150,000 units annually at RM10/unit in Year 1.
    • Annual sales price increases by 2% after Year 1.
  • Cost Structure:
    • Variable Cost: RM4.50/unit, increasing by 5% annually.
    • Fixed Costs: RM320,000 in Year 1, increasing by 3% annually.
  • Depreciation:
    • Equipment depreciated using the straight-line method over 5 years.
    • Salvage value: RM120,000; estimated scrap value: RM80,000.
  • Tax and Discount Rates:
    • Corporate Tax Rate: 25%.
    • Weighted Average Cost of Capital (WACC): 13%.

Tasks for Analysis:

1. Spreadsheet Model Development:

  • Create a model to compute the project’s Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period.

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2. Sensitivity Analysis:

  • Examine NPV sensitivity to the following variables at ±10% of base values:
    • Sales price
    • Number of units sold
    • Variable cost per unit
    • Fixed costs
    • Cost of capital
  • Include a graph to visualize the results.

3. Scenario Analysis:

  • Best-Case Scenario:
    • No increase in sales price.
    • 5% increase in units sold.
    • 3% decrease in variable cost per unit.
  • Worst-Case Scenario:
    • 2% decrease in sales price.
    • 5% decrease in units sold.
    • 3% increase in variable cost per unit.
  • Probabilities:
    • Best case: 30%
    • Worst case: 20%
    • Base case: 50%
  • Determine:
    • Expected NPV
    • Standard deviation of NPV
    • Coefficient of variation (NPV).

4. Final Recommendation:

  • Provide insights on project feasibility based on analysis results.
  • Offer specific advice for SBS Corporation to mitigate risks and maximize profitability.

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