Do Working Capital Efficiency and Capital Structure Shape Financial Distress? The Moderating Role of Firm Size in Food and Beverage Firms Listed on the Indonesia Stock Exchange

Authors

  • Aditya Rahmadani Universitas palangka Raya, Indonesia
  • Solikah Nurwati Universitas palangka Raya, Indonesia
  • Putri Salasyah Riadin Nengsih Universitas palangka Raya, Indonesia
  • Novia Safitri Universitas palangka Raya, Indonesia

DOI:

https://doi.org/10.55681/economina.v5i6.2771

Keywords:

Cash Conversion Cycle, Debt to Equity Ratio, Financial Distress, Firm Size, Altman Emerging Market Score

Abstract

This study examines Cash Conversion Cycle (CCC) and Debt to Equity Ratio (DER) as determinants of financial distress, with firm size tested as a moderating variable, among Food and Beverage companies on the IDX during 2021–2025. Financial distress is operationalized through the Altman Emerging Market Score (EMS), estimated via a Fixed Effect Model with clustered standard errors using panel data from 63 companies yielding 315 observations. Rising CCC is found to significantly worsen financial distress, while DER exhibits a similar but statistically weak tendency. Firm size fails to moderate either relationship. Substituting Debt to Asset Ratio as an alternative leverage proxy confirms that asset-based leverage significantly deteriorates financial distress, reinforcing the robustness of the main findings.

Downloads

Download data is not yet available.

References

Akashi, S. A. (2025). Determinants of financial distress: The role of liquidity, profitability, leverage, and firm size. Jurnal Riset Manajemen dan Bisnis, 10(1), 31–42. https://doi.org/10.36407/jrmb.v10i1.1306

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. (2005). An emerging market credit scoring system for corporate bonds. Emerging Markets Review, 6(4), 311–323. https://doi.org/10.1016/j.ememar.2005.09.007

Altman, E. I., Iwanicz-Drozdowska, M., Laitinen, E. K., & Suvas, A. (2017). Financial distress prediction in an international context: A review and empirical analysis of Altman’s Z-Score model. Journal of International Financial Management & Accounting, 28(2), 131–171. https://doi.org/10.1111/jifm.12053

Amaliah, F. F., & Darmawan, A. (2019). The impact of Cash Conversion Cycle on financial distress with profitability as a moderating variable. Journal of Applied Managerial Accounting, 3(2), 214–225. https://doi.org/10.30871/jama.v3i2.1561

Andoko, & Santana, S. (2025). The influence of Cash Conversion Cycle toward bankruptcy risk using Altman Z-Score. Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi, 5(2), 477–486. https://doi.org/10.54209/jasmien.v5i02.1035

Astuti, F., & Dewi, S. (2024). Pengaruh return on asset, current ratio, Debt to Asset Ratio, dan ukuran perusahaan terhadap financial distress pada perusahaan sub sektor pertanian yang terdaftar di BEI tahun 2018–2022. Ekonomica Sharia: Jurnal Pemikiran dan Pengembangan Ekonomi Syariah, 10(1), 103–126. https://doi.org/10.36908/esha.v10i1.1238

Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer. https://doi.org/10.1007/978-3-030-53953-5

Bank Indonesia. (2024). Tinjauan Kebijakan Moneter Februari 2024. Bank Indonesia.

Braunsberger, C., & Aschauer, E. (2025). Corporate failure prediction: A literature review of Altman Z-Score and machine learning models within a technology adoption framework. Journal of Risk and Financial Management, 18(8), 465. https://doi.org/10.3390/jrfm18080465

Bursa Efek Indonesia. (2021). IDX industrial classification of listed companies. Indonesia Stock Exchange.

Deloof, M. (2003). Does working capital management affect profitability of Belgian firms? Journal of Business Finance & Accounting, 30(3–4), 573–588. https://doi.org/10.1111/1468-5957.00008

Hamzah, R. S., & Annisa, M. L. (2022). Altman’s Z”-Scores for financial distress predictions among Food and Beverages industry in Indonesia. Owner: Riset dan Jurnal Akuntansi, 6(1), 1056–1068. https://doi.org/10.33395/owner.v6i1.696

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. https://doi.org/10.2307/1913827

Heller, D., Karapanagiotis, P., & Nilsen, Ø. A. (2025). Small and vulnerable during crises? Firm size and financing constraint dynamics. Small Business Economics, 65, 451–473. https://doi.org/10.1007/s11187-024-00996-y

Johan, S., Kayani, U. N., Naeem, M. A., & Karim, S. (2024). How effective is the Cash Conversion Cycle in improving firm performance? Evidence from BRICS. Emerging Markets Review, 59, 101114. https://doi.org/10.1016/j.ememar.2024.101114

Karim, R., Mamun, M. A. Al, & Kamruzzaman, A. S. M. (2024). Cash Conversion Cycle and financial performance: Evidence from manufacturing firms of Bangladesh. Asian Journal of Economics and Banking, 8(1), 67–82. https://doi.org/10.1108/AJEB-03-2022-0033

Kebede, T. N., Tesfaye, G. D., & Erana, O. T. (2024). Determinants of financial distress: Evidence from insurance companies in Ethiopia. Journal of Innovation and Entrepreneurship, 13, 17. https://doi.org/10.1186/s13731-024-00369-5

Kristanti, F. T., Salim, D. F., & Ihsan, A. F. (2025). Financial distress prediction in emerging markets by using a machine learning approach for financial sustainability. Discover Sustainability, 6, 1296. https://doi.org/10.1007/s43621-025-02199-1

Lian, Y. (2014). WINSOR2: Stata module to winsorize data. Statistical Software Components S457765, Boston College Department of Economics.

Purohit, S., Agarwal, B., Kanoujiya, J., & Rastogi, S. (2025). Impact of shareholder yield on financial distress: Using competition and firm size as moderators. Journal of Economic and Administrative Sciences, 41(1), 110–123. https://doi.org/10.1108/JEAS-08-2024-0276

Ramadini, P. A., & Rusliyawati, R. (2023). Determinan financial distress pada perusahaan sektor Food and Beverage di Bursa Efek Indonesia. JIAFE: Jurnal Ilmiah Akuntansi Fakultas Ekonomi, 9(2), 213–224. https://doi.org/10.34204/jiafe.v9i2.8633

Sánchez-Almeyda, C., González-Bueno, J., Koval, V., Reyes-Maldonado, N., Kryshtal, H., & Zharikova, O. (2025). Predicting financial distress in the food production sector: A dual-model approach using Z-score and O-score methods. Discover Sustainability, 6, 731. https://doi.org/10.1007/s43621-025-01348-w

Sihombing, J. J. A., & Angela, A. (2024). Pengaruh profitabilitas, financial leverage dan likuiditas terhadap financial distress pada perusahaan Food and Beverage di Indonesia. Journal of Accounting, Finance, Taxation, and Auditing, 6(1), 85–101. https://doi.org/10.28932/jafta.v6i1.9231

Umar, U. H., Abduh, M., & Besar, M. H. A. (2024). Corporate attributes and bankruptcy prediction: The case of listed halal Food and Beverage companies. Journal of Islamic Monetary Economics and Finance, 10(1), 111–134. https://doi.org/10.21098/jimf.v10i1.1928

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.

World Bank. (2026). Global economic prospects: January 2026. World Bank.

Downloads

Published

2026-06-30

How to Cite

Aditya Rahmadani, Solikah Nurwati, Putri Salasyah Riadin Nengsih, & Novia Safitri. (2026). Do Working Capital Efficiency and Capital Structure Shape Financial Distress? The Moderating Role of Firm Size in Food and Beverage Firms Listed on the Indonesia Stock Exchange. JURNAL ECONOMINA, 5(6), 2680–2696. https://doi.org/10.55681/economina.v5i6.2771