Business Intelligence is now essential to support decision-making and finance daily. This article aims to contribute to academic knowledge in the field of scientific production related to financial and performance indicators of supply chains. To achieve this objective, bibliometric analysis was used, following the three main laws (Bradford’s law, Lotka’s law, and Zipf’s law) to map and evaluate scientific production by identifying publication patterns, key authors, works, and journals, as well as collaboration networks, while highlighting research gaps and trends. Based on the WOS database, RStudio and VOS viewer, we analyzed 128 articles over the last 23 years. This work offers valuable insights for academics by highlighting the most relevant conclusions, identifying research gaps, and suggesting future directions for potential collaborations. The findings contribute to the advancement of scientific knowledge, especially by highlighting the scarcity of studies on performance metrics in supply chains. It reveals a growing trend in research and maps collaboration networks between authors, institutions, and countries. The article also provides insights for managers and financial professionals on methodologies and indicators in supply chain analysis and management. The results support strategy formulation, performance evaluation, and informed decision-making, promoting a deeper understanding of contemporary economic phenomena.