Analysis of Cost Stickiness, Customer Concentration, and Operational Cost Efficiency on Financial Risks of Manufacturing Companies in the Indonesian Stock Exchange (BEI) for the 2022-2024 Period
DOI:
https://doi.org/10.61536/escalate.v4i02.530Keywords:
Altman Z-Score, Financial Distress, Financial Risk, Manufacturing Companies, Risk AssessmentAbstract
Financial risk is a critical issue for manufacturing companies due to operational complexity, high capital intensity, and economic dynamics in the 2022–2024 period, which increase pressure on companies' financial performance. This study aims to analyze the financial risk conditions of manufacturing companies listed on the Indonesia Stock Exchange using the Altman Z-Score (Emerging Market Score) model. The study employed a quantitative approach with descriptive methods. The study population comprised all manufacturing companies listed on the Indonesia Stock Exchange during the 2022–2024 period, while the sample consisted of companies with complete financial reports during the observation period. The research instrument consisted of financial report data analyzed using the Altman Z-Score through descriptive analysis. The results showed that the average Z-score value increased from 2.18 in 2022 to 2.47 in 2024, the proportion of companies in the safe zone increased, while the proportion of companies in the distress zone decreased. Furthermore, the pharmaceutical and healthcare, automotive, and chemical and petrochemical subsectors had better risk profiles than the textile and footwear subsectors. This study concludes that the financial risk conditions of manufacturing companies have improved, but in aggregate are still in the grey zone, so continuous risk monitoring is needed to support decision-making by management, investors, creditors, and regulators
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References
Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609.https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
Altman, E.I. (2013). Predicting financial distress of companies: Revisiting the Z-score and ZETA models. In E. I. Altman & M. McKinney (Eds.), Handbook of research methods and applications in empirical finance (pp. 428–456). Edward Elgar Publishing.
Altman, E. I., Hartzell, J., & Peck, M. (1995). Emerging markets corporate bonds: A scoring system. The Journal of Fixed Income, 5(2), 36–43.
Anderson, M.C., Banker, R.D., & Janakiraman, S.N. (2003). Are selling, general, and administrative costs sticky? Journal of Accounting Research, 41(1), 47–63.https://doi.org/10.1111/1475-679X.00095
Bank Indonesia. (2023). Bank Indonesia Survey 2023.
Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4(Supplement), 71–111.https://doi.org/10.2307/2490171
Indonesia Stock Exchange. (2023). Indonesia Stock Exchange Report 2023.
Indonesia Stock Exchange. (2024). Indonesian capital market statistics: Annual report 2023. PT Indonesia Stock Exchange.
Damodaran, A. (2022). Investment valuation: Tools and techniques for determining the value of any asset (4th ed.). John Wiley & Sons.
Fahmi, I. (2021). Financial statement analysis (3rd Edition). Alfabeta.
Kristianti, IP (2023). Financial distress and stock returns: An empirical study of manufacturing companies on the Indonesia Stock Exchange. Indonesian Journal of Accounting and Finance, 20(1), 45–62.https://doi.org/10.21002/jaki.2023.03
Myers, S. C. (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2), 147–175.
Suryanto, T., Thalassinos, EI, & Thalassinos, Y. (2022). Financial distress after COVID-19 pandemic: Emerging market evidence from Indonesian manufacturing firms. Journal of Risk and Financial Management, 15(11), Article 488.https://doi.org/10.3390/jrfm15110488
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