Prediksi Profitabilitas, Likuiditas, Leverage, Sales Growth, dan Managerial Agency Cost terhadap Financial Distress pada Perusahaan Sektor Transportation dan Logistic yang Terdaftar di Bursa Efek Indonesia Periode 2019–2022

Prediction of Profitability, Liquidity, Leverage, Sales Growth, and Managerial Agency Cost on Financial Distress in Transportation and Logistics Sector Companies Listed on the Indonesia Stock Exchange for the 2019-2022 Period

Terjadinya krisis keuangan dunia saat ini membuat banyak terjadi kebangkrutan di berbagai perusahaan. Sehingga perlu mengantisipasi terjadinya financial distress agar bisnis dapat mencegah terjadinya tindakan tersebut.  Penelitian ini bertujuan untuk menganalisis prediksi profitabilitas, likuiditas, leverage, sales growth, dan managerial agency cost terhadap financial distress. Populasi pada penelitian ini sebanyak 27 perusahaan pada sektor transportation dan logistic yang terdaftar di BEI serta menerbitkan laporan keuangan setiap tahun selama 2019-2022. Sampel yang digunakan sebanyak 14 perusahaan dengan teknik pengambilan sampel melalui purposive sampling. Analisis data pada pengujian ini memanfaatkan analsis regresi logistik. Hasil pengujian ini menunjukan profitabilitas, likuiditas, leverage, sales growth, dan managerial agency cost mampu memprediksi financial distress, namun hasil uji pengaruh pada penelitian ini menyatakan bahwa seluruh variabel independen yang terdiri atas profitabilitas, likuiditas, leverage, sales growth, dan managerial agency cost tidak berpengaruh terhadap financial distress. Oleh karena itu, peneliti merekomendasikan untuk dapat memanfaatkan model pengujian ini untuk memprediksi financial distress dikarenakan akurasi ketepatan yang dapat diberikan cukup baik sehingga perusahaan dapat mengantisipasi kesulitan keuangan.

The current world financial crisis has caused many bankruptcies in various companies. So it is necessary to anticipate the occurrence of financial distress so that businesses can prevent this action. This study aims to analyze the prediction of profitability, liquidity, leverage, sales growth, and managerial agency costs on financial distress. The population in this study were 27 companies in the transportation and logistics sector listed on the IDX and published financial reports every year during 2019–2022. The sample used was 14 companies, with sampling techniques through purposive sampling. The data analysis in this test utilizes logistic regression analysis. The results of this test show that profitability, liquidity, leverage, sales growth, and managerial agency cost are able to predict financial distress, but the results of the effect test in this study state that all independent variables consisting of profitability, liquidity, leverage, sales growth, and managerial agency cost have no effect on financial distress. Therefore, researchers recommend being able to utilize this test model to predict financial distress because the accuracy that can be given is quite good, so companies can anticipate financial difficulties.