Analisis Perbandingan Model Pendeteksi Financial Distress Pada Perusahaan Sektor Aneka Industri: -

Abstract

This research aims to determine the financial condition of various industrial sector companies listed on the Indonesia Stock Exchange for the period 2015-2019, using a purposive sampling method with a total sample of 13 companies. The type of data used is secondary data obtained from the company's financial statements. This study uses 3 models of  financial  distress  analysis,  namely the  Springate,  Grover  and  CA-Score  models.  The results of this study indicate that the Springate model predicts that twelve companies are in a state of distress for five consecutive years and one company is in a state that changes from distress to non-distress. The Grover model predicts that four companies are in a state of distress,  four  companies  are  in  a  non-distress  condition  and  five  companies  are  in  a fluctuating condition for five consecutive years. The CA-Score model predicts that there are five companies that are in a distress condition, five companies are in a non-distress condition and three companies that are in a fluctuating condition for five consecutive years.