JUNE 2024

VOlUME 03 ISSUE 06 June 2024
Evaluating Financial Stability and Fraud Detection in Selected Indian Pharmaceutical Companies Using Altman Z Score and Beneish M Score Models
Dr. Poojan N. Parikh
Adhyapak Sahayak, H L College of Commerce, Gujarat University, Ahmedabad: 380009
DOI : https://doi.org/10.58806/ijsshmr.2024.v3i6n30

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ABSTRACT

This study examines the financial health and the risk of financial statement fraud among five major pharmaceutical companies—Sun Pharmaceutical Industries Ltd., Lupin Limited, Aurobindo Pharma Limited, Dr. Reddy's Laboratories, and Cipla Limited—over the period from 2019 to 2023. Financial statements are crucial documents that provide insights into a company's financial performance and position. However, they can be susceptible to manipulation, leading to financial fraud. The research utilizes the Altman Z-score to assess financial stability and the Beneish M-score to detect the likelihood of financial manipulation. Findings indicate that these companies generally exhibit strong financial health, with Altman Z-scores consistently categorizing them in the "Safe" zone, suggesting a low risk of bankruptcy. Sun Pharmaceutical Industries Ltd. showed significant financial improvement throughout the period, while Lupin Limited experienced a brief dip into the "Gray" zone in 2022 before recovering. Aurobindo Pharma Limited, Dr. Reddy's Laboratories, and Cipla Limited demonstrated remarkable stability, with Cipla Limited maintaining consistently high Z-scores. The Beneish M-score analysis indicated a low risk of earnings manipulation for most companies, though Lupin Limited showed occasional high-risk years. Overall, these results suggest that these pharmaceutical companies maintain strong financial practices and transparency, promoting investor confidence and reflecting positively on the industry's financial integrity and sustainability.

KEYWORDS:

Financial statements, Fraud detection, Financial Stability, Beneish M Score, Altman Z Score

REFERENCES

1) (n.d.). Retrieved from https://www.researchgate.net/figure/Beneish-M-score-Model_tbl2_321143663

2) (n.d.). Retrieved from https://www.semanticscholar.org/paper/Application-Of-Beneish-M-Score-Model-In-Detecting-Aqilah-Mohammed/8ac8deb906947bf7445c5c59db7d99a59d7b5622/figure/0

3) Djatnicka, E. W., Purba, J., & Wulandari, D. S. (2023). Fraud Triangle Perspective: Detecting Financial Statement Fraud Using the Beneish M-Score Model in Property and Real EstateCompanies Listed on the Indonesia Stock Exchange. East Asian Journal of Multidisciplinary Research (EAJMR), 2(7), 3113-3130.

4) (ACFE), A. o. (2016). Report to the Nations on Occupational Fraud and Abuse. Association of Certified Fraud Examiners (ACFE).

5) Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589-609.

6) Beneish, M. (1999). The detection of earnings manipulation. Financial Analysts Journal,, 55(5), 24-36. Retrieved from https://www.jstor.org/stable/4480190

7) Bhavani , G., & Amponsah , C. T. (2017). M-SCORE AND Z-SCORE FOR DETECTION OF ACCOUNTING FRAUD. Accountancy Business and Public Interest, 1(1), 68-86. Retrieved May 2024, from https://www.researchgate.net/publication/318489930_M-Score_and_Z-Score_for_detection_of_Accounting_Fraud

8) Exminers, A. o. (2024). Occupational Fraud 2024:A Report to the Nations. Association of Certified Fraud Exminers. Retrieved from https://www.acfe.com/-/media/files/acfe/pdfs/rttn/2024/infographics/make-an-impact-how-to-use-the-report.pdf

9) Hartzell, J., Altman, E. I., & Peck , M. (1998). Emerging market corporate bonds — a scoring system (Vol. 2). Boston: The New York University Salomon Center Series on Financial Markets and Institutions ,Springer. doi:https://doi.org/10.1007/978-1-4615-6197-2_25

10) Ijudien, D. (2018). Pengaruh Stabilitas Keuangan, Kondisi Industri dan Tekanan Eksternal Terhadap Kecurangan Laporan Keuangan. Jurnal Kajian Akuntansi, 2(1), 82.

11) Lumadi, K. A., & Rusgowanto, F. H. (2023). The Effects of Beneish’s M-Score Model and Financial Ratio Analyis on Fraudulent Financial Statement Indications. The 4th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2022), (pp. 1-7). Retrieved from https://doi.org/10.1051/e3sconf/202338801015

12) Maccarthy, J. (2017). Using Altman Z-score and Beneish M-score Models to Detect Financial Fraud and Corporate Failure: A Case Study of Enron Corporation. International Journal of Finance and Accounting, 6(6), 159-166. doi:10.5923/j.ijfa.20170606.01

13) Ratmono, D., Darsono, D., & Cahyonowati, N. (2020). Financial Statement Fraud Detection With Beneish M-Score and Dechow F-Score Model: An Empirical Analysis of Fraud Pentagon Theory in Indonesia. International Journal of Financial Research, 11(6), 154-164. Retrieved from https://doi.org/10.5430/ijfr.v11n6p154

14) Septiani, R., Musyarofah, S., & Yuliana, R. (2020). Beneish M-Score Reliability as a Tool For Detecting Financial Statements Fraud. International Colloquium on Forensics Accounting and Governance (ICFAG), 1(1), 140-149.

15) Syafitri, M., Putra, & Ermaya, H. N. (2021). Dampak Corporate Governance, Financial Stability, Dan Financial Target Dalam Kecurangan Laporan Keuangan. JURNAL AKUNIDA,, 7(1), 44-59. Retrieved from https://doi.org/10.30997/jakd.v7i1.4457

VOlUME 03 ISSUE 06 JUNE 2024

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