Analisis Financial Distress Pada Perusahaan Otomotif Yang Terdaftar Di Bursa Efek Indonesia

This research aims to determine the prediction financial distress of automotive companies. The data for this study uses the secondary data obtained from Indonesian Stock Exchange for the period was 2016-2020. This study compares 3 analytical models, the Altman Z-Score, Springate, and Zmijewski models and then calculates the level of accuracy and error type of each model in order to find out a model that has accurate predictions of financial distress in automotive companies based on all samples used. Based on research conducted on 6 samples of automotive companies, it is known that the Zmijewski analysis model is the most accurate model with an average accuracy rate of 93.33%