Pengaruh Laba Kotor, Laba Operasional dan Laba Bersih dalam Memprediksi Arus Kas dimasa Mendatang pada Perusahaan Industri Dasar dan Kimia Sub Sektor Kimia yang Terdaftar Di Bursa Efek Indonesia

Abstract

This investigation endeavors to scrutinize the impact of gross margin, operational earnings, and net earnings on the prognostication of forthcoming cash flows within enterprises operating in basic and chemical industries, specifically within the chemical subsector, duly registered on the IDX spanning the years 2020 to 2023. Employing a quantitative paradigm, the study utilizes multiple linear regression techniques to examine the association between the predictor variables (gross margin, operational earnings, net earnings) and the outcome variable (cash flow). The empirical sample comprises thirteen entities from the chemical subsector listed on the IDX, monitored over a quadrennial timeframe, culminating in 52 data points. The sampling methodology adopted is purposive sampling. Analytical procedures encompass tests for classical assumptions, multiple regression analysis, alongside inferential hypothesis testing via t-statistics and F-statistics. The finding reveals that gross margin exerts a statistically significan positive influence on prospective cash flows, paralleled by operational earnings which similarly manifest a significant positive effect. Conversely, net earnings do not exhibit a statistically significant impact on future cash flow projections. Collectively, the triad of profit metrics significantly accounts for variations in future cash flows. The coefficient of determination (Adjusted R²) at 51.8% elucidates that fluctuations in forthcoming cash flows are explicable by these three profit indicators, whereas the residual 48.2% is attributable to extraneous variables beyond the purview of the current model.