The paper examined the Stochastic Frontier Approach to Resource-Use Efficiency Analysis of Cotton Farmers in Northeast Zone, Nigeria. Data were obtained from a sample of 360 households using a structured questionnaire. Descriptive Statistics and resource-use efficiency models were employed in analyzing the data collected. Results show that the mean year of cotton farmers in the study area was almost 49, with 12.53 as a Standard deviation. More than half of the cotton farmers did not acquire a higher level of education. The result shows that cotton farmers have various experiences in their farming activities with a mean farming experience of 17.48 and a Standard Deviation of 6.23. This ascertained the fact that “experience boosts professional disposition in the art of carrying out farming activities”. The input/output variation result shows that the coefficient of variation of production is 192.54 kg/ha, indicating a larger variability in cotton production among farmers. Fertilizer had the meanest variability of 89.10 kg/ha and Standard deviation of 25.75 with a minimum and maximum quantity of 20 kg/ha, and 200 kg/ha, respectively. The result of the resource-use efficiency shows that the labor coefficient is negative, meaning that farmers are experiencing a decrease in their profit as a result of extreme use of labor. The variable inputs as seed, fertilizer, and agrochemical are being utilized efficiently by the farmers in the study area, as their coefficients are greater than one. Therefore, the research concludes that for the output to be increased, variables with a positive coefficient greater than one should be increased.