IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-758-8_177.html

Cash Flow Projection Analysis with Distributor Financing System at PT Semen Tonasa

In: Proceedings of the 9th International Conference on Accounting, Management, and Economics 2024 (ICAME 2024)

Author

Listed:
  • Rustamin Rustam

    (Hasanuddin University)

  • Sobarsyah

    (Hasanuddin University)

  • Mursalim Nohong

    (Hasanuddin University)

Abstract

This study investigates: 1) strategies to optimize benefits and mitigate risks in implementing the Distributor Financing (DF) system on PT Semen Tonasa’s cash flow, and 2) the ideal funding amount through the DF system to maximize cash flow projections. Using a qualitative, descriptive analytical approach, data were collected through interviews, observations, questionnaires, and documentation. Subjects were purposively sampled from PT Semen Tonasa’s environment. Data analysis involved condensation, presentation, and conclusion drawing. Findings reveal: 1) the company’s ability to meet current liabilities improved from 0.31 (2020) to 0.43 (2023), needing further efficiency; 2) fluctuating interest coverage ratios, from 39.58 times (2022) to 121.87 times (2023); 3) fluctuating capital expenditure coverage, peaking at 2.49 times (2021) and lowest at 0.85 times (2022), recovering to 1.25 times (2023); 4) fluctuating total debt-to-operating cash flow ratio, with a sharp 2022 increase, indicating debt management challenges; and 5) fluctuating cash flow-to-net income ratio, declining in 2021 and 2022, but recovering in 2023.

Suggested Citation

  • Rustamin Rustam & Sobarsyah & Mursalim Nohong, 2025. "Cash Flow Projection Analysis with Distributor Financing System at PT Semen Tonasa," Advances in Economics, Business and Management Research, in: Mursalim Nohong & Fitra Roman Cahaya & Phung Minh Tuan & Arifuddin Mannan & Anas Iswanto Anwar & Ria (ed.), Proceedings of the 9th International Conference on Accounting, Management, and Economics 2024 (ICAME 2024), pages 2221-2231, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-758-8_177
    DOI: 10.2991/978-94-6463-758-8_177
    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:978-94-6463-758-8_177. 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.