Analisis Perbandingan Kerentanan Financial Distress PT. Garuda Indonesia Tbk dan PT. Indonesia Airasia Tbk Melalui Pendekatan Modifikasi Altman Z-Score

Authors

  • Agus Kurniawan Universitas Terbuka
  • Diah Permata Sari Universitas Bian Bangsa
  • Rani Sri Sumarsih Universitas Bian Bangsa

DOI:

https://doi.org/10.61132/anggaran.v4i2.2411

Keywords:

Altman Z-Score, Aviation Industry, CMPP, Financial Distress, GIAA

Abstract

This study examines the main issues related to the escalation of global Maintenance, Repair, and Overhaul (MRO) costs in 2025, reaching 20.14% of total operational expenses, thus threatening the financial stability of national airlines. This study aims to analyze and compare the level of financial distress vulnerability at PT Garuda Indonesia (Persero) Tbk (GIAA) and PT Indonesia AirAsia Tbk (CMPP). The theoretical basis used in detecting this risk is Signal Theory. The novelty of this study lies in the comparative evaluation of the resilience of Full-Service Carrier (FSC) and Low-Cost Carrier (LCC) business models in facing post-pandemic spare parts supply chain disruptions in 2025. The methodology used is descriptive quantitative with a comparative approach to the financial statements of the first quarter of 2025. The statistical tool used to process financial ratios is Microsoft Excel 2021 through the Modified Altman Z-Score formula. The results show that both airlines are absolutely in the Distress Zone with values ​​below the threshold of 1.1. GIAA is in a state of technical bankruptcy due to liquidity pressure from historical debt burden with a Z-Score of 0.0460, while CMPP is facing fatal equity erosion due to accumulated losses exceeding the value of its total assets with a negative Z-Score of -1.7400.

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References

Al-Manaseer, S., Al-Hindawi, R. M., Al-Dahiyat, M., & Sartawi, I. (2018). Validity of Altman Z-Score model to predict financial failure: Evidence from Jordan. International Journal of Economics and Finance, 10(8), 181–189. https://doi.org/10.5539/ijef.v10n8p181

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/10.2307/2978933

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

Bauer, J., & Agarwal, V. (2014). Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test. Journal of Banking & Finance, 40, 432–442. https://doi.org/10.1016/j.jbankfin.2013.12.013

Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4, 71–111. https://doi.org/10.2307/2490171

Blum, M. (1974). Failing company discriminant analysis. Journal of Accounting Research, 12(1), 1–25. https://doi.org/10.2307/2490525

Dahruji, D., & Muslich, A. A. (2022). Pengaruh profitabilitas terhadap financial distress pada Bank Umum Syariah. Jurnal Ekonomi Syariah Teori dan Terapan, 9(3), 388–400. https://doi.org/10.20473/vol9iss20223pp388-400

Daniela, R., Mária, B., & Lucia, J. (2016). Analysis of the construction industry in the Slovak Republic by bankruptcy model. Procedia - Social and Behavioral Sciences, 230, 298–306. https://doi.org/10.1016/j.sbspro.2016.09.038

Fatmawati, M. (2012). Penggunaan the Zmijewski Model, the Altman Model, dan the Springate Model sebagai prediktor delisting. Jurnal Keuangan dan Perbankan, 16(1), 56–65. https://doi.org/10.26905/jkdp.v16i1.1046

Geng, R., Bose, I., & Chen, X. (2015). Prediction of financial distress: An empirical study of listed Chinese companies using data mining. European Journal of Operational Research, 241(1), 236–247. https://doi.org/10.1016/j.ejor.2014.08.016

Gunawan, B., Pamungkas, R., & Susilawati, D. (2017). Perbandingan prediksi financial distress dengan model Altman, Grover dan Zmijewski. Jurnal Akuntansi dan Investasi, 18(1), 119–127. https://doi.org/10.18196/jai.18164

Hikmah, H., & Afridola, S. (2019). Analisis penilaian financial distress menggunakan model Altman (Z-Score) perusahaan manufaktur. Jurnal Niara, 11(2), 195–202. https://doi.org/10.31849/nia.v11i2.2142

Kadim, A., & Nardi, S. (2018). Analisis Altman Z-Score untuk memprediksi kebangkrutan pada bank pemerintah di Indonesia. Jurnal Sekuritas, 1(3), 142–156. https://doi.org/10.32493/skt.v1i3.1095

Liang, D., Lu, C. C., Tsai, C. F., & Shih, G. A. (2016). Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study. European Journal of Operational Research, 252(2), 561–572. https://doi.org/10.1016/j.ejor.2016.01.012

Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109–131. https://doi.org/10.2307/2490395

Shumway, T. (2001). Forecasting bankruptcy more accurately: A simple hazard model. The Journal of Business, 74(1), 101–124. https://doi.org/10.1086/209665

Sriwiyanti, E., Purba, D. S., Wahyudi, D., Tarigan, W. J., & Napitu, R. (2024). Implementation of the Altman Z-score model in predicting bankruptcy at PT. Garuda Indonesia, Tbk. Journal of Accounting and Investment, 25(1), 249–268. https://doi.org/10.18196/jai.v25i1.20223

Tinoco, M. H., & Wilson, N. (2013). Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. International Review of Financial Analysis, 30, 394–419. https://doi.org/10.1016/j.irfa.2013.02.013

Wang, G., Ma, J., & Yang, S. (2014). An improved boosting based on feature selection for corporate bankruptcy prediction. Expert Systems with Applications, 41(5), 2353–2361. https://doi.org/10.1016/j.eswa.2013.09.033

Yap, B. W., Ong, S. W., & Husain, N. H. M. S. (2010). Using financial ratios to predict corporate failure. Asian Journal of Business and Accounting, 3(2), 51–70. https://doi.org/10.22452/ajba.vol3no2.3

Zmijewski, M. E. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22, 59–82. https://doi.org/10.2307/2490859

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Published

2026-06-30

How to Cite

Agus Kurniawan, Diah Permata Sari, & Rani Sri Sumarsih. (2026). Analisis Perbandingan Kerentanan Financial Distress PT. Garuda Indonesia Tbk dan PT. Indonesia Airasia Tbk Melalui Pendekatan Modifikasi Altman Z-Score. Anggaran : Jurnal Publikasi Ekonomi Dan Akuntansi, 4(2), 243–254. https://doi.org/10.61132/anggaran.v4i2.2411

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