ASSESSING FINANCIAL DISTRESS OF AIRLINE COMPANIES IN INDONESIA

The airline industry in Indonesia has experienced significant financial stress during the COVID-19 pandemic, with many companies facing the risk of Financial Distress that could lead to bankruptcy. This study aims to analyze the financial health of airlines listed on the Indonesia Stock Exchange in the 2019-2023 period, using three Financial Distress prediction models: Altman Z-Score, Grover (G-Score), and Zmijewski (X-Score). These three models assess financial conditions based on aspects of liquidity, profitability, and solvency to provide a comprehensive picture of the company's level of financial health in the face of post-pandemic economic challenges. This study uses airline financial statement data to calculate the scores of each model. The results of the analysis show that there is significant variation in each model's ability to identify Financial Distress, with some airlines showing signs of recovery while others are still struggling to survive. The study also uncovered key factors affecting airlines' financial sustainability, including regulatory policy changes, operational strategy adjustments, as well as to post-pandemic shifts in consumer preferences. By providing in-depth insight into the financial condition of the airline industry, this study contributes to company management in designing risk mitigation strategies, as well as to investors and policymakers in making data-driven decisions. The results of this study are expected to serve as a reference in improving the financial resilience of the Indonesian airline industry in the future.

Authors

Institutions

Publication Details

Journal
The International Conference on Sustainable Economics Management and Accounting Proceeding
Published
2025-08-13
DOI
https://doi.org/10.32424/icsema.1.1.285
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASSESSING FINANCIAL DISTRESS OF AIRLINE COMPANIES IN INDONESIA

Kusuma Dewi, Yuliandi Yuliandi, Sudradjat Sudradjat, Sindy Natalia Mononimbar
The International Conference on Sustainable Economics Management and Accounting Proceeding
Management and Optimization Techniques
article

ASSESSING FINANCIAL DISTRESS OF AIRLINE COMPANIES IN INDONESIA

Kusuma Dewi, Yuliandi Yuliandi, Sudradjat Sudradjat, Sindy Natalia Mononimbar
article en

Abstract

The airline industry in Indonesia has experienced significant financial stress during the COVID-19 pandemic, with many companies facing the risk of Financial Distress that could lead to bankruptcy. This study aims to analyze the financial health of airlines listed on the Indonesia Stock Exchange in the 2019-2023 period, using three Financial Distress prediction models: Altman Z-Score, Grover (G-Score), and Zmijewski (X-Score). These three models assess financial conditions based on aspects of liquidity, profitability, and solvency to provide a comprehensive picture of the company's level of financial health in the face of post-pandemic economic challenges. This study uses airline financial statement data to calculate the scores of each model. The results of the analysis show that there is significant variation in each model's ability to identify Financial Distress, with some airlines showing signs of recovery while others are still struggling to survive. The study also uncovered key factors affecting airlines' financial sustainability, including regulatory policy changes, operational strategy adjustments, as well as to post-pandemic shifts in consumer preferences. By providing in-depth insight into the financial condition of the airline industry, this study contributes to company management in designing risk mitigation strategies, as well as to investors and policymakers in making data-driven decisions. The results of this study are expected to serve as a reference in improving the financial resilience of the Indonesian airline industry in the future.

The International Conference on Sustainable Economics Management and Accounting ProceedingVol. 1
Universitas Informatika dan Bisnis Indonesia (ID), Institut Bisnis dan Informatika Kesatuan (ID)
Openalex Percentile: Top 67%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.