This study attempts to measure and compare the profitability and output responsiveness differences to changes in input levels for three major rice growing seasons, Aus, Aman and Boro, in Natore district of Bangladesh. A rigorous methodology using farm level cross-sectional data is utilized in the study for measuring the profitability by estimating the per acre value (revenue) of the output and the respective costs involved. Statistical analysis of variance ANOVA is used to find out the significance of the differences in revenue pertaining to the three rice growing seasons is done and by use of the full post-hoc Tukey tests is extended further. To find out the factors generating differences in output it is proposed to use a log-linear regression (with interaction terms) model so that both the main effects of the inputs can be inserted as well as the varying sensitivities of the different rice growing seasons to those inputs can be comprehended. The results showed that the Boro rice gives a revenue that is significantly, greater than the Aus and Aman rice produced principally because of its greater responsiveness to greater input use of fertilizers, irrigation and pesticides and herbicides etc. On the other hand, the Aman is used as a baseline rice season and subsequently is not very sensitive to input use, whilst the Aus is the least responsive of all the different rice growing seasons. Interrelationship of the input-output relationships further shows that the variance in this can be very pronounced for the Boro season particularly with regards to irrigation and ploughing cost. This study contributes to the financial literature by incorporating a profitability analysis along with an elasticity-based production model used for the various rice growing seasons. This study shows farmers how to use the information to produce profitability and how policy makers can be informed about the possibilities of the optimum levels of input use if farmers are to improve profitability.