The purpose of this study is to further identify Revenue Management practices conducted by hotel restaurants. In order to fulfill the purpose, financial data, including Revenue per available seat (RevPas) figures individual hotel restaurants were obtained and correlation and regression analysis between RevPAS and its components was performed. Correlation analysis outputs demonstrate that indicators related to RevPAS are highly correlated to total revenue, the number of customers, the average customer transaction, seat turnover and the number of seats. Regression analysis results identified that average customer transaction, turnover of seat and F&B revenue to be the most influential indicators for restaurant performance. This study can contribute to understanding the present circumstances and recognizing the importance of revenue management in hotel restaurants which has become increasingly competitive. The outcome of this study is intended to assist hotel restaurant managers adopt appropriate revenue management practices but also to identify opportunities for consistent revenue growth.