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To evaluate 3M's intrinsic value and compare the calculated results with the stock market price as of 31 December 2022. To study 3M's future operating strategies and the internal and external factors that may impact the Company's operations
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As one of the world's leading technology companies, HP occupies an essential position in the printer and personal system markets. In order to analyze HP's current market value and predict its future financial performance, this thesis values HP by applying three models: EDCF, DEP, and APV. Based on the financial statement from 2019 to 2023, this thesis conducts a common size analysis of the financial data to facilitate the comparison between various indicators. HP's asset structure and profitability are analyzed and the company's beta is also tested. To analyze HP's position and environment in the technology industry, Dell Inc. will be analyzed as its main competitor. At the same time, the intrinsic value of HP is estimated based on the financial statements for the next ten years which is predicted. The valuation results are compared with HP's stock price at the end of 2023 to determine whether HP's stock price is overvalued or undervalued. In order to improve the accuracy of the valuation, sensitivity analysis is also used to evaluate the impact of variables such as internal factors and external market factors on the company's value. Studies have shown that HP's intrinsic value is greatly affected by the market risk premium. This thesis also uses SWOT and PESTEL to analyze the company's strengths, weaknesses and operating environment which will help to identify the company's competitiveness. It also helps to identify HP's potential opportunities and risks in technological innovation and market expansion. The impact of the macro-economy on HP's development is also analyzed. The results of this thesis provide a reference for investors and management, which helps to understand the market positioning and future development potential of HP and other technology companies. The limitations of the study are the subjectivity of data forecasts and the uncertainty of the market environment
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