The Master’s thesis evaluates the economic situation of Svoboda a syn, s.r.o. company using selected techniques of financial analysis. Input data for financial analysis are based on official financial statements of this company. The theoretical part of this thesis is focused on methods of financial analysis in general and the definition of the indicators, the practical part applies the theoretical knowledge and based on the results the proposals are formulated to improve the problematic aspects of the company.

This diploma thesis focuses on economic performance evaluation of AGC Moravské Budějovice s. r. o. It analyses development of the company in years 2008–2012 using traditional financial indicators and the modern methods of economic value added. In the final part of this thesis there are some proposals submitted that could lead to an improvement of company´s current situation.

This Diploma thesis deals with evaluation of the economic performance of the company C SYSTEM CZ a.s. in years 2009 – 2013. In theoretical part is described methodology of financial analyses and strategic approach to evaluation of the company which is followed by financial analyses of the chosen company in terms of financial indicators and market position. Practical part is focused on using of the information system as a tool to mediate chosen results of the financial analysis for reporting and benchmarking.

The subject of the thesis "Evaluation of company performance" is evaluating the quality of information provided by and the subsequent application of the busines performance measuring indicators. The first part focuses on the basic concepts, such as the enterprise value of the company. The second part evaluates the classical methods of financial analysis, including creditworthiness and bankruptcy models. The third part focuses on modern EVA indicator. The last part is focused on the application of these methods and models to a selected company and to evaluate its performance in the years 2012-2014.

The aim of the thesis is to determine the value of company XY, Ltd., focused on pro-ducing precision metal manufacturing. The thesis could be used as supporting document for business decisions made by management of company and could be used as a value determination for not predetermined buyer. The value of the company is calculated on 1. 1. 2015 by application of income methods. Specifically, the valuation is processed by method of discounted cash flow method DCF entities and the economic value added method EVA. The starting point of valuation is the strategic analysis, financial analysis and the analysis of value drivers. Based on these analyses will be determined value of the company.

This master’s thesis deals with complex evaluation efficiency of the company Sanmina-SCI Czech Republic s.r.o. It analyses the company’s development from its foundation during the year 2012 and conducts strategic analysis of the company, including financial analysis and proposes measures to maintain, or increase the company’s performance. Individual proposals are based on economic evaluation.

Wassernutzung und Abbau der Frischwasser-Ressourcen sind heutzutage ein Thema, das als so wichtig wahrgenommen wird wie der Klimawandel. Wasser wird somit zunehmend Auswirkungen auf den ökonomischen Wert von Unternehmen haben. Ziel der vorliegenden Arbeit ist es, den monetären Wert des Wassers mithilfe des Wasser-Fußabdrucks zu bestimmen. Hierfür werden nach einer kurzen Einführung in Kapitel 2 der ökologische Fußabdruck, der CO2-Fußabdruck und der Wasser-Fußabdruck kurz vorgestellt und in Beziehung zueinander gesetzt. Anschließend wird der Wasser-Fußabdruck diskutiert und sowohl in die Ökobilanzierung als auch in das Instrumentarium der Umweltleistungsmessung eingeordnet. Danach werden die Zielgrößen des Unternehmenswertes beschrieben und der Zusammenhang von ökologischer und ökonomischer Leistungsmessung dargestellt. Auf dem Stufenmodell zum Wertbeitrag aufbauend werden verschiedene Ansätze zur Integration ökologischer Aspekte in den Unternehmenswert diskutiert. In Kapitel 3 wird dann die Methode entwickelt, um den Wasser-Fußabdruck zu bestimmen und auszuwerten und anschließend mithilfe der Werttreiberanalyse, des Water Value Added und der Kumulierten Wasserintensitäten den ökonomischen Beitrag des Wassers zu berechnen. In der Fallstudie wird die Methode angewendet und anschließend in Kapitel 5 anhand der zuvor vorgestellten Kriterien bewertet. Abschließend werden einige Handlungsempfehlungen zur Anwendung und Weiterentwicklung der Methode gegeben. Als Ergebnis der Arbeit kann die Frage beantwortet werden, wie ein Unternehmen den Einfluss des Wassers auf den eigenen Unternehmenswert und den ökonomischen Wert des Wassers bestimmen kann.

Wassernutzung und Abbau der Frischwasser-Ressourcen sind heutzutage ein Thema, das als so wichtig wahrgenommen wird wie der Klimawandel. Wasser wird somit zunehmend Auswirkungen auf den ökonomischen Wert von Unternehmen haben. Ziel der vorliegenden Arbeit ist es, den monetären Wert des Wassers mithilfe des Wasser-Fußabdrucks zu bestimmen. Hierfür werden nach einer kurzen Einführung in Kapitel 2 der ökologische Fußabdruck, der CO2-Fußabdruck und der Wasser-Fußabdruck kurz vorgestellt und in Beziehung zueinander gesetzt. Anschließend wird der Wasser-Fußabdruck diskutiert und sowohl in die Ökobilanzierung als auch in das Instrumentarium der Umweltleistungsmessung eingeordnet. Danach werden die Zielgrößen des Unternehmenswertes beschrieben und der Zusammenhang von ökologischer und ökonomischer Leistungsmessung dargestellt. Auf dem Stufenmodell zum Wertbeitrag aufbauend werden verschiedene Ansätze zur Integration ökologischer Aspekte in den Unternehmenswert diskutiert. In Kapitel 3 wird dann die Methode entwickelt, um den Wasser-Fußabdruck zu bestimmen und auszuwerten und anschließend mithilfe der Werttreiberanalyse, des Water Value Added und der Kumulierten Wasserintensitäten den ökonomischen Beitrag des Wassers zu berechnen. In der Fallstudie wird die Methode angewendet und anschließend in Kapitel 5 anhand der zuvor vorgestellten Kriterien bewertet. Abschließend werden einige Handlungsempfehlungen zur Anwendung und Weiterentwicklung der Methode gegeben. Als Ergebnis der Arbeit kann die Frage beantwortet werden, wie ein Unternehmen den Einfluss des Wassers auf den eigenen Unternehmenswert und den ökonomischen Wert des Wassers bestimmen kann.

This master´s thesis is focused on evaluation of company´s economic performance. Evaluation is done by standard methods of financial analysis and modern method Economic Value Added. Theoretical part describes methods and procedures that can be used for evaluation of economic performance. Practical part deals with evaluation of economic performance of the company KOH-I-NOOR PONAS Ltd.

M. Tech (Department of Accountancy, Faculty of Management Sciences) Vaal University of Technology. / Numerous studies have been conducted to ascertain factors that impact on wealth creation of companies. It has been suggested by various researchers that economic value added (EVA) could be used to measure company wealth creation and a number of factors have been suggested that contribute to wealth creation for company shareholders. The purpose of this study is to determine the company characteristics that influence wealth creation. The study uses EVA, the dependent variable, as a measure of a company’s wealth creation. The company characteristics, independent variables, are operating capital size, capital gearing, export and domestic distribution market segments, sub-sectors and the type of product companies release into the market. Identifying company characteristics that influence wealth creation could enlighten investors on where capital should be directed in order to maximise wealth creation for the companies’ shareholders and the entire economy. Logistic regression analysis models were used to analyse 61 industrial companies listed on the Johannesburg Stock exchange (JSE) for the 10-year period of 2005 to 2014. The use of logistic regression for this analysis was necessitated by the binary nature of the data (EVA positive or negative) and logistic regression analysis is suitable for such binary data. A series of tests were conducted to assess the suitability of logistic regression analysis in evaluating the impact of company characteristics on EVA. The classification accuracy test, which shows the predictive accuracy or the forecast strength of the logistic regression model for this study yielded a forecast strength of the highest of 97.2 percent for 2006 and lowest of 63.2 percent for 2014. The results indicated the appropriateness of the logistic regression model for the study. The data on the EVA of companies were collected from INET-BFA. Other sets of data also obtained from INET-BFA include companies’ volume of operating capital, capital gearing, company product types, distribution channels and sub-sectors to which each company belongs. The historical inflation and exchange rates were also obtained and applied in comparing with EVA. The comparison was to determine if there was any relationship between EVA, exchange rates and inflation. Results of the logistic regression analysis model reveal that the sub-sector factor, capital size factor and capital gearing factor impact on EVA, while market segment and company product type do not impact on EVA. The results show that the sub-sector categories of manufacturing, retail and extraction have significant positive impact on EVA while property management does not impact on EVA. The large capital category of the capital size factor shows significant positive impact on EVA while the medium capital category shows a negative impact on EVA, leaving small capital size having no impact on EVA. The high as well as moderate capital gearing categories of the capital gearing factor show negative impact on EVA, while low gearing shows no impact on EVA. However, some years covered in the study did not have any significant factors. Results of wealth creation evaluation of the industrial companies using EVA as a metric reveals that the industrial companies created more value than was destroyed in terms of EVA. The results show that manufacturing, extraction and retail sub-sectors achieved net positive EVA, while the property management sub-sector achieved net EVA negative in the 10-year period. Furthermore, results of EVA comparison with foreign exchange and inflation rates indicated a relationship between EVA, exchange rate and rate of inflation. The results show that as inflation rises, foreign exchange depreciates, while EVA performance of companies drops during the same period. Findings and recommendations of this study are important to company managers as they offer crucial information regarding the types of activities organisations could engage in and for investors to consider the types of businesses in which to invest. The findings are also important in suggesting how companies could organise their capital structure as well as the size of the capital in order to optimise wealth creation. Such considerations by company managers and investors alike would help to increase wealth creation within the economic system. This study made use of five company characteristics, which were stated into various categories. Additional company characteristics should be used in a further study to identify other company attributes that may impact on EVA. There is also the need to carry out further studies using other methods to find out if different results could be achieved. In addition, a study is recommended to establish why no significant factor was identified in some of the years.