IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-835-6_33.html

Investment Recommendation of Tencent: Based on Financial Analysis

In: Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025)

Author

Listed:
  • Siyuan Qu

    (Hubei University of Economics)

Abstract

To gain an in-depth understanding of Tencent’s financial health and hidden financial risks from 2020 to 2023, this study will address these issues through a financial analysis of Tencent Holdings.The central analytical focus of this report is to acquire fundamental knowledge of financial ratio analysis and, by applying this knowledge, to familiarize ourselves with the company’s financial performance and current development status, thereby gaining deeper insights into its position within the industry and potential financial risks. Additionally, the report will analyze the impact of Tencent’s investments in artificial intelligence (AI) on its financial ratios, particularly in the context of rapid AI development. Data has been collected from Yahoo Finance and Tencent’s financial statements, and five different ratios have been calculated—profitability ratios, liquidity ratios, activity ratios, cash flow ratios, and debt ratios. The report is primarily supported by concise recommendations as well as some feasible predictions, which may benefit the company’s stakeholders and provide some assistance to the development of related technology companies.

Suggested Citation

  • Siyuan Qu, 2025. "Investment Recommendation of Tencent: Based on Financial Analysis," Advances in Economics, Business and Management Research, in: Barbara Siuta-Tokarska & Adriana Grigorescu & Md. Mamun Habib & Yifeng Zhu (ed.), Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025), pages 309-319, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-835-6_33
    DOI: 10.2991/978-94-6463-835-6_33
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-835-6_33. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.