Break-Even Analysis and Profit Optimization for Small-Scale Palm Oil Processing in Imo State

Small-scale palm oil processing enterprises in Imo State, South East Nigeria, represent a critical segment of the agricultural value chain, providing income for thousands of rural households. However, many operators lack quantitative tools to understand their cost structures and profit potential. This study applies break-even analysis and linear profit optimization to evaluate the financial viability of palm oil processing units in three local government areas of Imo State. Data on fixed costs (equipment depreciation, rent, insurance), variable costs (fresh fruit bunches, fuel, labour), and revenue per litre of crude palm oil were collected from 45 processor questionnaires. Break-even output levels are computed for each processor, and a single-product linear profit maximization model is applied subject to raw material supply, processing capacity, and demand constraints. Results indicate that approximately 62 percent of sampled processors currently operate below their break-even output, largely due to seasonal raw material shortages and post-harvest losses. The profit optimization model identifies an output level and pricing strategy that increases average monthly net profit by an estimated 38 percent for processors operating above capacity constraints. Recommendations include forming cooperative raw material procurement groups to reduce input costs and stabilize supply, and establishing price information sharing networks. This study demonstrates how accessible quantitative analysis can inform business decision-making for agro-processing micro-enterprises in South East Nigeria. Keywords: break-even analysis, profit optimization, palm oil processing, Imo State, small-scale enterprise