This document provides an analysis of financial evaluation and budgeting in finance. It includes calculations of financial ratios, performance evaluation, and recommendations for improving the financial structure. Suitable for finance students and professionals.
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Running head: FINANCE Finance Name of the Student: Name of the University: Authors Note:
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FINANCE 1 Table of Contents Part 1: Financial Evaluation.......................................................................................................2 Part 2: Budgeting........................................................................................................................5 Part 3: Project Evaluation.........................................................................................................11 Reference and Bibliography:....................................................................................................17
FINANCE 2 Part 1: Financial Evaluation Particulars20172016 Revenue€7,85,000.00€7,22,200.00 Gross profit€7,16,000.00€6,58,720.00 Net profit€4,36,605.00€4,00,862.00 Total assets€ 18,94,467.00€ 13,29,377.00 Total liabilities€ 11,29,000.00€9,58,266.00 Total equity€7,65,467.00€3,71,112.00 Interest€8,500.00€8,000.00 EBIT€6,80,200.00€6,24,710.00 Market value price per share€5.50€4.75 Number of shares3,00,0003,00,000 Profitability Net profit margin55.62%55.51% Gross profit margin91.21%91.21% Asset Usage Asset turnover ratio41.44%54.33% Return on assets23.05%30.15% Capital Structure ratio Debt to equity ratio1.472.58 Debt ratio0.600.72 Interest coverage ratio8078 Investment ratio Price earnings ratio3.783.55 Earnings yield0.260.28 Earnings per share1.461.34 Commenting on the performance of the organisation: After evaluating the above calculations the overall performance of the organization can be derived this directly indicates the relevant improvements in their current operational capability. From the evaluation of the profitability ratio, the net profit margin of the organization is seen to improve slightly from the levels of 55.51% in 2016 to 55.62% in
FINANCE 3 2017. This improvement is relatively due to the high level of net profit that has been achieved by the company during the first year. Moreover, the calculation of gross profit margin relatively indicates no certain improvements, as the value has relatively remained same for both the fiscal years. This directly indicates that the reduction in administrative expenses has relatively allowed the organization to experience higher profits from its operations (Vogel 2014). The calculations of asset usage ratio directly indicate the low efficiency of the management, which has relatively reduced the effective usage of the available assets. The Asset turnover ratio of the organization has relatively fallen from the levels of 54.33% to 41.44% in 2017. In the similar instance, the overall return on assets of the organization has also fallen from the levels of 30.15% to 23.05%. This decline in asset usage is relatively due to the increment in total Assets of the organization in 2017, which was not complemented by the increment in net profit and revenues. The capital structure ratio of the organization as a relatively improve over the period of two fiscal years, where the decline in debt accumulation has allowed the organization to attend solvency position. The debt to equity ratio of the organization has a relatively declined to the levels of 1.47 in 2017 from 2.58 in 2016. Moreover, debt ratio of the organization has also declined from the levels of 0.72 in 2016 to 0.60 in 2017. The decline in both debt to equityratioanddebtratioisduetotheincrementintotalequity,whichwasnot complemented by the increment in total liabilities of the organization. This relevantly helps in improving the debt structure of the organization and reducing the composition of debt. The interest coverage ratio of the organization is also increased from the levels of 78 to 80, which directly indicates the positive attributes of the organization.Kou, Peng and Wang (2014) stated that capital structure allow the investors to detect the solvency position of the company, which helps them make investment decisions.
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FINANCE 4 Investment ratio of the organization has the relatively indicated a positive attribute where both the price earnings ratio and earning person has relatively improved over the period of two fiscal years. These improvements in the investment ratio directly indicate a positive indication to the investors who can increase the returns from investment in the organization. Moreover, the earnings of the organization have minutely declined during the fiscal year of 2017. Therefore, from the evaluation of the financial ratio it could be identified that the performance of the organization has relatively improved during the fiscal year of 2017 (Greco, Figueira and Ehrgott 2016). Indicating whetherGHOV needs a better financial structure: The financial ratios of capital structure relatively help in detecting the overall financialstructureoftheorganization.Thecurrentdepositionoftheorganizationis considered normal which needs to be improved in future. The debt equity ratio needs to be at the levels of 1, while the debt ratio needs to be below 0.45 to minimize the negative impacts of Finance cost. Capital structure of the organization relatively portrays their capability to support operations and invest in additional projects. Hence, the current capital structure of the organization needs to be below 0.45 from 0.60 levels, which can only be achieved by reducing the debt and increase equity capital. The increment in the composition of equity and reduction in debt would eventually allow the organization to reduce their finance cost, which wide eventually increases the net profit of the company (Wahlen, Baginski and Bradshaw 2014).
FINANCE 5 Part 2: Budgeting Revenue and expense data201620172018Change2019 Operating revenues Special government budget allocation--15,000.003.50%15,525.00 Ancillary outpatient revenue650.00663.00682.895.00%717.03 Clinical service355.00356.60358.204.50%374.32 Non-core revenues1,005.001,019.6016,041.093.59%16,616.97 Main government budget allocation200,000.00210,000.00250,000.000.00%250,000.00 Total revenue201,005.00211,019.60266,041.090.22%266,626.38 Operating expenses Consultant's salaries15,000.0015,375.0015,759.382.50%16,153.36 General practioners salaries12,500.0012,656.2512,814.451.25%12,974.63 Nursing salaries10,250.0010,378.1310,507.851.25%10,639.20 Receptionists56.0056.1456.280.25%56.42 Pharmacists salaries11,750.0011,896.8812,045.591.25%12,196.16 Emergency room service15,000.0015,075.0015,150.380.50%15,226.13 IT Staff8,750.008,968.759,192.972.50%9,422.79 Finance Administrative salaries875.00896.88919.302.50%942.28 Imdemnity insurance125.00128.00131.002.50%134.28 Total operating expenses74,306.0075,431.1476,577.511.53%77,749.15 Supplies Office and administration275.00309.60348.5412.58%392.39 Operation rooms8,750.008,748.978,974.702.58%9,206.25
FINANCE 6 X-ray equipment5,500.005,498.975,640.852.58%5,786.38 Pharmacy and medicines15,000.0015,387.0016,002.482.58%16,415.34 cleaning and linen1,500.001,538.701,578.402.58%1,619.12 write off of material875.00897.58920.732.58%944.48 central salaries758.00777.56797.622.58%818.20 Utilities-electricity and communication72,000.0073,857.6075,763.132.58%77,717.82 Total supplies expenses104,658.00107,015.97110,026.442.61%112,898.13 Financing Loan interest1,250.001,250.001,250.000.00%1,250.00 overdraft interest21.2521.2521.250.00%21.25 Total finance expense1,271.251,271.251,271.250.00%1,271.25 Total expenses180,235.25183,718.36187,875.20191,918.53 Surplus/Deficit20,769.7527,301.2378,165.8974,707.85 Balance Brought forward19,244.75 - 63,510.0214,651.87 Financial resources available20,769.7546,545.9814,655.8789,359.72 Capital budgetary available Infrastructural requirements110,000.00125,000.00 Equipment X-ray machine1,500.00 New operating theatre equipment Ambulances25.0056.004.00 Financial requirements19,244.75-63,510.0214,651.87-35,640.28
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14 FINANCE cashflow-4,406,5002,843,5002,893,5002,693,5002,343,500 Depreciation900,000900,000900,000900,000900,000 (3,506,500)3,743,5003,793,5003,593,5003,243,5002,173,500 21.74% Indicating which of the project will be chosen: From the evaluation of the above table, financial viability of both Project A and Project B can be analyzed, which relatively help in increasing the income of the organization in future. The calculations of the investment appraisal techniques directly help in detecting that Project A is considered to be the most viable investment options for the organization. The detection of the Investment appraisal techniques such as net present value, Internal rate of return, payback period and accounting rate of return is used for identifying the most viable projects for the organization. Project A relatively has the NPV of 4,561,483, while the NPV of Project B is 3,250,553, which directly indicates that Project A is more viable for the organization. The Other components of investment appraisal techniques such asinternal rate of return is relatively act 41%, payback period is at 3.3 years andaccounting rate of return is valued at 17.78%. Project B only has a higher Accounting rate of return than Project A, which is at the levels of 21.74%. Therefore, investment in Project A would be beneficial for the organization as it will generate higher returns in the long run.Harris (2017) indicated that investment appraisal techniques are relatively used by the organization for detecting the most viable investment option which can eventually help in increasing the firm value in the long run.
15 FINANCE Indicating most reliable method for investment: From the overall evaluation of the investment appraisal techniques it could be identified that net present value is considered to be the most reliable method, which is used by organizations to detect adequate investment options. The net present value method relatively utilizes the time value of money, which helps in detecting of negative impact of the inflation rate that can eventually nullify the gains made in in future. The net present value relatively discounts the overall cash flows of the project, which will be generated in future, use to the current year. This would eventually allow the organization to understand the level of income that could be generated in future after investing and adequate amount in the present year the net present value needs to be higher in number, as a negative value directly in the case the loss of income due to time value of money. The other forms of investment appraisal technique do not rely on contemplating or utilizing the Time value of money, which relatively does not provide the adequate decision for the organization. However, investment appraisal techniques can complement the net present value and allow the organization to select an adequate investment option.Hoesli and MacGregor (2014) argued that investment appraisal techniques relatively lose their significance if adequate assumptions are not made while calculating the future income of the project. Stating the appropriate method for evaluation in similar situations: Under similar instances, if the same situation arises where net present value of the projects are relatively identical, then different investment appraisal techniques are relatively used. Investment appraisal techniques such as internal rate of return, payback period, and accounting rate of return can be used by the organization for selecting the adequate investment option. In situations for net present value of both the projects on similar than managers relatively utilizes internal rate of return to determine the project that provides the highest returns from
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16 FINANCE investment. In similar instance,the accounting rate of return can also be used by the organization for detecting the viable investment option, which can detect the average returns that can be generated from a project (Li and Trutnevyte 2017). .
17 FINANCE Reference and Bibliography: Almamy, J., Aston, J. and Ngwa, L.N., 2016. An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK.Journal of Corporate Finance,36, pp.278-285. Baum, A.E. and Crosby, N., 2014.Property investment appraisal. John Wiley & Sons. Bennett, M. and James, P., 2017.The Green bottom line: environmental accounting for management: current practice and future trends. Routledge. Brigham, E.F., Ehrhardt, M.C., Nason, R.R. and Gessaroli, J., 2016.Financial Managment: Theory And Practice, Canadian Edition. Nelson Education. Ehiedu, V.C., 2014. The impact of liquidity on profitability of some selected companies: the financialstatementanalysis(FSA)approach.ResearchJournalofFinanceand Accounting,5(5), pp.81-90. Enever, N., Isaac, D. and Daley, M., 2014.The valuation of property investments. Estates Gazette. Greco, S., Figueira, J. and Ehrgott, M., 2016.Multiple criteria decision analysis. New York: Springer. Guerra, M.L., Magni, C.A. and Stefanini, L., 2014. Interval and fuzzy Average Internal Rate of Return for investment appraisal.Fuzzy Sets and Systems,257, pp.217-241. Harris, E., 2017.Strategic project risk appraisal and management. Routledge. Hoesli, M. and MacGregor, B.D., 2014.Property investment: principles and practice of portfolio management. Routledge.
18 FINANCE Kou, G., Peng, Y. and Wang, G., 2014. Evaluation of clustering algorithms for financial risk analysis using MCDM methods.Information Sciences,275, pp.1-12. Li, F.G. and Trutnevyte, E., 2017. Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050.Applied energy,189, pp.89-109. Locatelli, G., Invernizzi, D.C. and Mancini, M., 2016. Investment and risk appraisal in energy storage systems: A real options approach.Energy,104, pp.114-131. Omar, N., Koya, R.K., Sanusi, Z.M. and Shafie, N.A., 2014. Financial statement fraud: A case examination using Beneish Model and ratio analysis.International Journal of Trade, Economics and Finance,5(2), p.184. Sartori, D., Catalano, G., Genco, M., Pancotti, C., Sirtori, E., Vignetti, S. and Bo, C., 2014. Guide to Cost-Benefit Analysis of Investment Projects. Economic appraisal tool for Cohesion Policy 2014-2020. Throsby, D., 2016. Investment in urban heritage conservation in developing countries: Concepts, methods and data.City, Culture and Society,7(2), pp.81-86. Vogel,H.L.,2014.Entertainmentindustryeconomics:Aguideforfinancialanalysis. Cambridge University Press. Wahlen, J., Baginski, S. and Bradshaw, M., 2014.Financial reporting, financial statement analysis and valuation. Nelson Education. Xu, W., Xiao, Z., Dang, X., Yang, D. and Yang, X., 2014. Financial ratio selection for business failure prediction using soft set theory.Knowledge-Based Systems,63, pp.59-67.