The emergence of Agentic Artificial Intelligence (AI) has revolutionized the financial system, evolving from traditional rule-based systems to autonomous agents qualified to independently make decisions. Artificial Intelligence has fundamentally revolutionized the operational frameworks and applications in finance. The progression from traditional AI to agentic AI represent paradigm shift toward more autonomous, self-directed systems capable of independent decision-making and goal-oriented behavior in financial contexts. Hence, this study investigates the trend of studies conducted in the field from 2020–2025 using bibliometric analysis. The bibliometric data generated contains 141 documents and was analyzed using VOSViewer software. Highlights of the findings revealed that the highest number of documents was published in 2025, they were mostly sourced from journals. Murali Malempati was the author with the most publications, and the journals with most articles in the field were the SSRN Electronic Journal. The results of co-occurrences based on Total Link Strength revealed keywords such as Artificial intelligence, machine learning and marketing. The trend of research on Agentic AI Applications in Finance from 2020 to 2026 serves as reliable data to consider for further studies related to the field and for references and literature. The results enrich existing research or themes of interest.