ANALISIS ALTMAN Z''-SCORE SEBAGAI ALAT EARLY WARNING SYSTEM RISIKO FINANCIAL DISTRESS STUDI KASUS PT WASKITA KARYA (PERSERO) TBK

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Published: Jan 26, 2026

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Murviana Koto
Universitas Muhammadiyah Sumatera Utara
Ikhsan Abdullah
Universitas Muhammadiyah Sumatera Utara

Abstract

This study examines the level of financial distress risk at PT Waskita Karya (Persero) Tbk over the 2021–2024 period using the Altman Z''-Score model as an early warning system within the framework of financial risk management. The study is motivated by the persistent financial pressure faced by state-owned construction companies, characterized by high leverage, limited liquidity, and heavy reliance on long-term debt financing. Secondary data are obtained from audited consolidated financial statements and analyzed using a descriptive quantitative approach with a longitudinal case study design. The findings reveal that although the Z''-Score values demonstrate a gradual improving trend throughout the observation period, the company consistently remains within the distress zone, indicating a sustained and elevated risk of bankruptcy. These results confirm the effectiveness of the Altman Z''-Score model as an early warning tool for identifying financial risk and provide important implications for managerial decision-making and financial restructuring policies, particularly for highly leveraged construction firms operating in emerging markets.

Article Details

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Vol. 7 No. 1 (2026): januari
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Articles
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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.

Altman, E. I. (2000). Predicting financial distress of companies: Revisiting the Z-score and ZETA models. Journal of Banking & Finance, 24(1–2), 1–22. https://doi.org/10.1016/S0378-4266(99)00050-0

Altman, E. I., & Hotchkiss, E. (2006). Corporate Financial Distress and Bankruptcy (3rd ed.). John Wiley & Sons.

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.

Brigham, E. F., & Houston, J. F. (2019). Fundamentals of Financial Management (15, Ed.). Cengage Learning.

Dewi, S. C., & Siregar, H. (2024). Early warning system of financial distress in state-owned enterprises. Jurnal Akuntansi Dan Auditing Indonesia, 28(1), 1–16.

Nugroho, L., & Anwar, S. (2023). Financial risk management and bankruptcy prediction in infrastructure firms. Journal of Accounting and Investment, 24(3), 356–372.

Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109–131.

Platt, H. D., & Platt, M. B. (2002). Predicting corporate financial distress: Reflections on choice-based sample bias. Journal of Economics and Finance, 26(2), 184–199. https://doi.org/10.1007/BF02755985

Pranowo, K., Achsani, N. A., Manurung, A. H., & Nuryartono, N. (2010). Determinant of corporate financial distress in emerging market economy: Empirical evidence from the Indonesian stock exchange. International Research Journal of Finance and Economics, 52, 81–90.

Pulungan, D. R., Koto, M., & Hartini, T. (2019). Metode Springate Dalam Analisa Potensi Kebangkrutan Perusahaan Properti Di Indonesia. November. https://doi.org/10.31227/osf.io/crsd6

Putri, N. K., & Suryani, E. (2023). Analisis financial distress pada perusahaan konstruksi menggunakan model Altman dan Zmijewski. Jurnal Akuntansi Multiparadigma, 14(2), 233–248.

Putri, R. A., & Hidayat, R. (2021). Analisis prediksi financial distress menggunakan Altman Z-Score pada perusahaan properti dan real estate di Indonesia. Jurnal Keuangan Dan Perbankan, 25(2), 210–223.

Rahmawati, R., & Handayani, S. R. (2022). Financial distress and firm value: Evidence from Indonesian construction companies. Jurnal Keuangan Dan Perbankan, 26(1), 89–104.

Resfitasari, E., Gumelar, T. M., Ulhaq, A., & Rusmayani, N. (2021). Analisis Prediksi Financial Distress Dengan Metode Altman Z-Score Pada PT Waskita Karya Tbk. Jurnal AKTIVA: Riset Akuntansi Dan Keuangan, 3(3),131–140. https://doi.org/10.52005/aktiva.v3i3.123

Sari, D. P., & Nugroho, B. A. (2022). Financial distress analysis in construction companies listed on the Indonesia Stock Exchange. Jurnal Akuntansi Dan Keuangan Indonesia, 19(1), 45–60.

Springate, G. L. V. (1978). Predicting the possibility of failure in a Canadian firm.

Wahidah, A. N., Mukhlis, & Fikri, M. (2024). Prediction of financial distress levels in state-owned construction companies using Altman Z-Score, Springate, and Zmijewski models. Journal of Economic, Business and Accounting (COSTING), 7(4).

Wahidah, A. N., Muklis, & Fikri, M. (2024). Prediction of Financial Distress Levels in State-Owned Cipta Karya Companies Using the Altman Z-Score, Springate, and Zmijewski Models. Journal of Economic, Bussines and Accounting (COSTING), 7(4). https://doi.org/10.31539/costing.v7i4.10892

Zmijewski, M. E. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22, 59–82.