Analisis Rasio Keuangan untuk Memprediksi Financial Distress Pada Perusahaan Sektor Industri Barang Konsumsi di Bursa Efek Indonesia
Daftar Isi:
- Predicting the condition of a company's financial difficulties is very important to anticipate company's bankruptcy in the future. This study aims to analyze the effect of profitability, liquidity, solvency, activity, and sales growth ratios in predicting financial distress of companies in the consumer goods industry sector in the Indonesia Stock Exchange for the period 2014-2020. The data analysis technique used is logistic regression. The sample used in this study were 32 companies. The results of this study indicate that simultaneously profitability, liquidity, solvency, activity, and sales growth have a significant effect in predicting financial distress, and the contribution of the five independent variables in predicting financial distress is 72,8%. Partially, the profitability variables proxied by return on assets (ROA) and the activity variable as proxied by total asset turnover (TATO) partially have a significant negative effect in predicting financial distress. While the liquidity variable as proxied by the current ratio (CR)) and solvency variables proxied by debt to equity ratio (DER) and sales growth variables partially have no significant effect in predicting financial distress conditions. Keywords: Profitability, Liquidity, Solvency, Activity, and Sales Growth