The decentralised microgrid energy system is believed to accelerate the energy transition in the energy sector and give flexibility to future energy systems. Integration of renewable energies will be increasing and adapted quickly to the microgrid. One approach that enables prosumers to trade their excess energy is peer-to-peer (P2P) energy trading. Previous works frequently studied the P2P energy trading scheme on electricity distribution systems. The inter-company energy recovery opportunity in an industrial park could be enhanced through the centralised utility network or microgrid system with various energy carriers, such as steam, water and hydrogen. This study aims to develop a P2P approach for the multi-energy utility microgrid systems, which involves thermal, power and cooling energies based on a non-linear programming (NLP) model using Advanced Interactive Multidimensional Modeling System (AIMMS) software. The model is incorporated with the cooperative game strategy of the P2P energy sharing scheme. The Shapley value method is used to describe the profit distributed among cooperating companies. An illustrative case study of three companies exchanging surplus energy with the centralised utility system was demonstrated. The model showed that the grand coalition has the most overall savings of 944.91 MUSD/y (40.96 %), with a total annualised cost of 1,362.12 MUSD/y. The developed structure is crucial to laying the groundwork for P2P multi-energy trading planning in Malaysia.