Financial Distress Analysis And Accuracy Test With The Altman Model Approach, Springate And Zmijweskiin Automotif and Components Manufacturing Companies E Listed On The Idx In 2016–2020

Problems of automotive and component companieson the IDX in 2016-2020there are financial difficulties as a resultturn sales resulting in financial distress . The research objective is to determine financial potentialdistress using the Altman, Springate and Zmijweski models and testing accuracy on automotive and component companies listed on the IDX in 2016-2020.The research data comes from secondary data. Research population 13 and sample 60 data determined by purposive sampling Data analysis using descriptive statistics. The results of the study (1) According to the Altman model , 2 companies experience financial distress , 2 are gray area companies and 8 are non-financial distress companies . (2) According to the Springate model , there are 7 financial distress companies and 5 non-distress financial companies. (3) According to the Zmijweski model 12 non- distress financial companies. (4) The Zmijweski model is the most accurate model for predicting financial distress because it has an accuracy rate of 100%, the Altman model has an accuracy rate of 66.7% and the Springate model has an accuracy rate of 41.7%.