IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v5y2021i2p1-16.html

Evaluation of Financial Performance of Pharmaceutical Industry in Bangladesh with Special Reference to Square Pharmaceuticals Ltd

Author

Listed:
  • A.K.M Mahfuj Ullah

    (Lecturer (Accounting and Information Systems), Department of Business Administration, Rajshahi Science & Technology University (RSTU), Natore, Bangladesh)

  • Md. Zakir Hossain

    (Professor, Department of Accounting and Information Systems, Islamic University, Kushtia, Bangladesh)

Abstract

No doubt financial performance analysis is a subjective & fundamental tool to discover the proficiency of the management in various parts of an organization. Evaluation of financial performance through analyzing the financial statement using financial ratios is usually related to how well an organization is using its revenue, expenses, assets as well as equity and liabilities which shows the picture of the financial position of that organization. Solvency (liquidity), profitability, turnover and return on assets (ROA) and return on equity (ROE) have been analyzed to interpret & measure the efficiency of management, financial performance and position of Square Pharmaceuticals Ltd. (SPL). The nature of the study is empirical based on secondary data that have been collected from annual reports of SPL (2012-2019). Pharmaceutical is a significant aide of industrialization in the nation. Having a significant contribution (1.83%) of pharmaceutical industry to our GDP with a growth rate (15%) sound financial performance of pharmaceutical industry may be useful for getting ready financial and monetary policy of the nation. From the finding of the study, it is revealed that profitability, inventory & accounts receivable turnover, assets turnover, financial leverage, ROA & ROE are doing well but liquidity position is not so much satisfactory and assets turnover ratio requires more concentration on it cause of a mixed trend. From overall findings, it is supposed that the management of SPL has been able to keep stability in running the business affairs and bring upward trend in generating earnings. The study draws the attention of the proper authority through some recommendations like keeping up a compelling coordination among different departments particularly in the finance, sales and PPIC department for further improvement of SPL.

Suggested Citation

  • A.K.M Mahfuj Ullah & Md. Zakir Hossain, 2021. "Evaluation of Financial Performance of Pharmaceutical Industry in Bangladesh with Special Reference to Square Pharmaceuticals Ltd," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 1-16.
  • Handle: RePEc:aif:journl:v:5:y:2021:i:2:p:1-16
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/666.pdf
    Download Restriction: no

    File URL: https://ijsab.com/volume-5-issue-2/3523
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christine V. Zavgren & Michael T. Dugan & James M. Reeve, 1988. "The Association Between Probabilities of Bankruptcy and Market Responses—A Test of Market Anticipation," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 15(1), pages 27-45, March.
    2. Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
    3. Marco Botta & Luca Colombo, 2016. "Macroeconomic and Institutional Determinants of Capital Structure Decisions," DISCE - Working Papers del Dipartimento di Economia e Finanza def038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Lohmann, Christian & Möllenhoff, Steffen, 2023. "How do bankruptcy risk estimations change in time? Empirical evidence from listed US companies," Finance Research Letters, Elsevier, vol. 58(PB).
    5. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
    6. Dean A. Shepherd & Holger Patzelt & Trenton A. Williams & Dennis Warnecke, 2014. "How Does Project Termination Impact Project Team Members? Rapid Termination, ‘Creeping Death’, and Learning from Failure," Journal of Management Studies, Wiley Blackwell, vol. 51(4), pages 513-546, June.
    7. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
    8. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    9. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    10. Sanghoon Lee & Keunho Choi & Donghee Yoo, 2020. "Predicting the Insolvency of SMEs Using Technological Feasibility Assessment Information and Data Mining Techniques," Sustainability, MDPI, vol. 12(23), pages 1-17, November.
    11. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2023. "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics 126151, London School of Economics and Political Science, LSE Library.
    12. Jagjeevan Kanoujiya & Shailesh Rastogi, 2024. "Nexus between efficiency and financial distress of listed firms in India: a comparative study using frontier techniques," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 835-866, June.
    13. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.
    14. Kristóf, Tamás, 2008. "A csődelőrejelzés és a nem fizetési valószínűség számításának módszertani kérdéseiről [Some methodological questions of bankruptcy prediction and probability of default estimation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 441-461.
    15. van der Heijden, Hans, 2022. "Predicting industry sectors from financial statements: An illustration of machine learning in accounting research," The British Accounting Review, Elsevier, vol. 54(5).
    16. Xavier Brédart & Eric Séverin & David Veganzones, 2021. "Human resources and corporate failure prediction modeling: Evidence from Belgium," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1325-1341, November.
    17. Kang, Hankil & Kang, Jangkoo & Lee, Changjun, 2013. "Do the production-based factors capture the time-varying patterns in stock returns?," Emerging Markets Review, Elsevier, vol. 15(C), pages 122-135.
    18. Hunter, John & Isachenkova, Natalia, 2006. "Aggregate economy risk and company failure: An examination of UK quoted firms in the early 1990s," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 911-919, November.
    19. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    20. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.

    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:aif:journl:v:5:y:2021:i:2:p:1-16. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Farjana Rahman (email available below). General contact details of provider: .

    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.