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.