Good financial planning is essential to staying focused and on course when the company grows, new obstacles arise, and unforeseen circumstances arise. This shows the direct need for handling multiple goals and a multi-criteria decision model, which can be addressed by developing a goal-programming approach. To develop the goal programming algorithm and to compute financial planning which is based on the annual fiscal statement of a biogas generation facility that disposes of wet waste. Since the primary purpose of this research is to examine the budgeting structure of Wet Garbage Disposal and Biogas Generation Facilities. Goal programming is used across the whole budget to optimize its advantages. Following this investigation, we pinpointed the following precise goals: maximize all assets, minimize capital employed, maximize profit after tax, maximize equity, maximize gross sales, maximize EBIDTA, minimize liability, and minimize NET cash given by (used in). Goals are prioritized, and weights can be determined with the help of the AHP method in the objective function. Another part of the analysis is figuring out if all of the objectives have been achieved resulting from the study. As a result, this research will help industrial institutions meet their financial goals and implement proper measures to stay on track. Also, a goal programming algorithm is developed that can be implemented in any organization which helps to compute and assess financial performance.