Through case studies related to gasoline and diesel testing data, the aim of this study was to develop a long term critical analysis of interlaboratory comparison. Contribute to the development of metrological reliability of test results was the main motivation for performing this research. The methodology consisted of the following four steps: (i) organization of the main database by grouping data per period, (ii) identification and determination of the relevant statistical parameters (robust mean, robust standard deviation and reproducibility), (iii) assessment of the equality of variances (excluding outliers) and determination of the clustered robust standard deviation and (iv) structure of the process statistical control chart. Among the results of the work, ASTM s recommendation indeed proved to be an effective tool for monitoring and controlling the performance of individual laboratories in interlaboratory comparison programs. As a conclusion, but without intending to propose shortcuts to the applicable ASTM standard, the study shows that the proposed stratification procedure by groups of laboratories constitutes an effective and consistent good practice to monitor statistical parameters associated to interlaboratory comparison of gasoline and diesel testing data.