In this project, we attempted to develop a machine learning model that is capable of forecasting various financial metrics, such as Monthly Recurring Revenue (MRR) and Customer Acquisition Cost (CAC). We evaluated several models using data sourced from 133 companies across seven industries. Eventually, our tests indicated that an adaptive average of multiple regression models performed well.