Individual Project 1: 2 Pages Click Here To Download
Individual Project 1 2 Pagesclickhereto Download Theselected Financi
Download the selected financial statements for Micro Chip Computer Corporation and answer questions related to year-to-year percentage growth in total net sales, and assess whether the company achieved its sales goal of +10% annual revenue growth in 2009. Calculate the target revenue figure based on this goal and evaluate if the company hit its target.
Using the Consolidated Statement of Operations for the year ended September 25, 2008, apply the Percentage Sales Method with a 25% increase in sales to forecast the financial figures for the period of September 26, 2008, to September 25, 2009. Incorporate assumptions such as a 15% tax rate and restructuring costs of 5% of the new sales figure. Analyze your results from question 1, discuss the assumptions made, and identify any seemingly unreasonable assumptions.
Show all work including formulas and calculations used to arrive at the financial values. If you use Microsoft Excel, include explanations of the methodology used. Organize your answers, calculations, and data into a 1–2 page double-spaced Word document, complemented by your Excel data table(s) and explanations.
Paper For Above instruction
The financial performance analysis of Micro Chip Computer Corporation provides a comprehensive overview of its revenue growth, forecasted financials, and strategic assumptions. This evaluation involves examining the year-to-year percentage growth in net sales, assessing the company's ability to meet its sales targets, and projecting future financial statements based on established growth assumptions. Through detailed calculations and strategic analysis, we gain insights into the company's financial health and operational planning.
Analysis of Year-to-Year Net Sales Growth and Target Achievement
Understanding Micro Chip’s revenue trajectory requires analyzing its total net sales over successive years. Suppose the actual net sales figures for two consecutive years are available; the percentage annual growth is calculated using the formula:
Percentage Growth = [(Sales in Year 2 - Sales in Year 1) / Sales in Year 1] x 100%
This formula quantifies the growth rate, enabling an assessment of whether the company’s annual revenue increased by at least 10% in 2009, as per its goal.
If, for example, the net sales in 2008 were $100 million and in 2009 were $110 million, the growth rate would be:
[(110 - 100) / 100] x 100% = 10%
This indicates the company precisely met its target. If the calculated growth exceeds 10%, the company surpassed its goal; if less, it failed to achieve the target.
Forecasting Future Financial Statements Using Percentage Sales Method
Applying the Percentage Sales Method involves projecting future financial figures based on planned sales increases. Starting with the 2008 statement, we increase the sales figure by 25% to derive the forecasted sales for 2009:
Forecasted Sales = 2008 Sales x (1 + 0.25) = 2008 Sales x 1.25
Subsequently, other income statement items are adjusted proportionally, assuming a direct relationship with sales—an assumption that often simplifies forecasting but may not reflect complex operational realities.
Residuals such as taxes and restructuring costs are then incorporated. For instance, restructuring costs are set at 5% of the forecasted sales, which translates to:
Restructuring Costs = Forecasted Sales x 0.05
Taxes, assumed at 15%, are applied to the adjusted operating income to estimate net income for the forecast period.
Assumptions and Further Considerations
The primary assumptions include a uniform 25% increase in sales, proportional relationships between sales and expenses, a fixed tax rate, and consistent restructuring costs. While these assumptions facilitate straightforward forecasting, they can oversimplify the nuanced relationship between sales and cost behaviors, potentially leading to inaccuracies.
For example, assuming a fixed 25% sales increase irrespective of market conditions may be optimistic or pessimistic, depending on industry trends. Similarly, the proportional relationship assumption ignores economies of scale or changes in operational efficiency that could alter expense ratios. The fixed tax rate and restructuring costs also assume stability in these areas, which may fluctuate due to regulatory changes or strategic shifts.
Conclusion
Financial analysis and forecasting are vital tools for strategic planning and performance evaluation. Accuracy hinges on selecting appropriate assumptions and understanding their limitations. The methodological transparency, including the explicit formulas and calculations used, ensures robustness in the analysis and provides a clear basis for strategic decisions and further financial modeling.
References
- Graham, J. R., & Harvey, C. R. (2001). The theory and practice of corporate finance: Evidence from the field. The Journal of Financial Economics, 60(2-3), 187-243.
- Higgins, R. C. (2012). Analysis for Financial Management (10th ed.). McGraw-Hill Education.
- Brigham, E. F., & Ehrhardt, M. C. (2013). Financial Management: Theory & Practice (14th ed.). Cengage Learning.
- Wild, J. J., Subramanyam, K. R., & Halsey, R. F. (2014). Financial Statement Analysis (11th ed.). McGraw-Hill Education.
- Penman, S. H. (2012). Financial Statement Analysis and Security Valuation. McGraw-Hill Education.
- Dechow, P. M., & Dichev, I. D. (2002). The quality of accruals and earnings: The role of accrual estimation errors. The Accounting Review, 77(1), 35-59.
- Fabozzi, F. J., & Peterson Drake, P. (2009). Finance: Capital Markets, Financial Management, and Investment Management. Wiley.
- Ross, S. A., Westerfield, R., & Jordan, B. D. (2013). Fundamentals of Corporate Finance (10th ed.). McGraw-Hill Education.
- Healy, P. M., & Palepu, K. G. (2001). Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. Journal of Accounting and Economics, 31(1-3), 405-469.
- Yuan, Y., & Hu, H. (2018). Forecasting corporate financial statements based on proportional and non-proportional relationships. European Journal of Operational Research, 266(2), 620-629.