Financial Analysis of the Stock and Company Performance of the Technology Industry

Authors

  • Joshua Wu

DOI:

https://doi.org/10.54097/tp22fn79

Keywords:

Technology Industry, Stock Performance Analysis, Growth Analysis, Ratio Analysis, Artificial Intelligence.

Abstract

Rapid advancements in artificial intelligence (AI) and big data fuel the technology industry’s growth. Many technology companies fund new opportunities to create groundbreaking technological innovations through AI. This paper offers a comprehensive financial analysis of three major technology companies- Meta Platforms Inc., Nvidia Corp., and Alphabet Inc. - to evaluate the best investment opportunities within the industry by interpreting company data and growth potential. These companies’ growth potential and financial health are evaluated through ratio analysis, such as market, profitability, and risk ratios, and technical analysis, through momentum analysis. The findings highlight Meta’s initiative of the Metaverse and the integration of its AI, Nvidia’s dominance in AI-driven hardware and chips, and Alphabet’s AI products and diverse revenue streams. The overall conclusion highlighted all three companies’ long-term value, but Nvidia stood out among the three companies as it has shown expansive company growth and extensive future outlooks in a vastly AI-driven industry. This analysis aims to illustrate the changing technological landscape and to provide investors with informed investment decisions.

Downloads

Download data is not yet available.

References

[1] Setar, Lauren, and Matthew MacFarland. 2012. "Top 10 fastest-growing industries." Special Report IbisWorld.com. Available at: http: //www.drugstorenews.com/sites/drugstorenews.com/files/Fastest%20Growing%20Industries-1.pdf.

[2] Makridakis, Spyros. 2017. "The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms." Futures 90: 46 - 60.

[3] Roos, Göran, and Johan Roos. 1997. "Measuring your company’s intellectual performance." Long Range Planning 30 (3): 413 - 426.

[4] Coulon, Yannick. 2019. Rational investing with ratios: Implementing ratios with enterprise value and behavioral finance. Springer Nature.

[5] Damodaran, Aswath. 2012. "Growth Investing: Betting on the future?" Available at SSRN 2118966.

[6] Larsen, Jan Ivar. 2010. Predicting stock prices using technical analysis and machine learning. MS thesis. Institutt for datateknikk og informasjonsvitenskap.

[7] Aman, Ameenullah, Mohamad Yazid Isa, and Asmadi Mohamed Naim. 2023. "The role of macroeconomic and financial factors in bond market development in selected countries." Global Business Review 24 (4): 626 - 641.

[8] Zakeri, Behnam, et al. 2022. "Pandemic, war, and global energy transitions." Energies 15 (17): 6114.

[9] Wang, Zihao, and Yang Yang. 2023. "Analyzing U.S. Macroeconomic." Proceedings of the 2023 International Conference on Management Research and Economic Development (part 3): 240 - 245.

[10] Hasan, Md. Morshadul, et al. 2020. "Current landscape and influence of big data on finance." Journal of Big Data 7 (3). doi: 10.1186/s40537 - 020 - 00291 - z.

[11] Sun, et al. 2019. "Finance Big Data: Management, Analysis, and Applications." International Journal of Electronic Commerce 23 (1). doi: 10.1080/10864415.2018.1512270.

[12] Paris, Simon. 2024. "Revolutionizing Finance: Exploring the Synergy of Big Data and AI in Creating New Opportunities."

[13] Al-Okaily, Manaf, and Aws Al-Okaily. 2024. "Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality." Journal of Modelling in Management.

[14] Roumeliotis, Konstantinos I., Nikolaos D. Tselikas, and Dimitrios K. Nasiopoulos. 2023. "Llama 2: Early Adopters’ Utilization of Meta’s New Open-Source Pretrained Model."

[15] Sulkala, Kristiina. 2023. "Improving social media marketing in Meta platforms by developing an industry-independent tool: A research-based development study for a digital advertising agency."

[16] Gong, Chuanzhi. 2024. "Analysis of NVIDIA’s Strategic Business Philosophy." Highlights in Business, Economics and Management 39: 928 - 933.

Downloads

Published

24-12-2024

How to Cite

Wu, J. (2024). Financial Analysis of the Stock and Company Performance of the Technology Industry. Highlights in Business, Economics and Management, 45, 509-517. https://doi.org/10.54097/tp22fn79