The aim of this research is to examine the impact of managers' financial intelligence on the profitability of food industry companies listed on the stock exchange. This study is applied in nature and was conducted using a descriptive-survey method. The statistical population consists of 55 managers from food industry companies listed on the stock exchange. Due to the limited size of the statistical population, the entire population was considered as the sample, meaning all individuals were selected as the sample size (a convenience sample). A questionnaire was used to collect the research data. The validity of the questionnaire was confirmed by experts, and the reliability of the tool was verified through Cronbach's alpha measurement. Data analysis was performed using descriptive statistical methods and inferential statistical methods. The results indicate that the processes of data identification, data classification, data analysis, as well as data refinement and decision-making have a positive and significant impact on the profitability of food industry companies listed on the stock exchange. Among the processes affecting the profitability of the studied companies, data classification had the greatest impact, while data refinement and decision-making had the least impact.
ement. Data analysis was performed using descriptive statistical methods and inferential statistical methods. The results indicate that the processes of data identification, data classification, data analysis, as well as data refinement and decision-making have a positive and significant impact on the profitability of food industry companies listed on the stock exchange. Among the processes affecting the profitability of the studied .