Foliar tissue sampling has been used in the greenhouse industry to diagnose nutrient disorders for many crops. Leaf tissue nutrient standards for pentas (Pentas lanceolata Forssk.) were non-existent before a recent rate study was published. This study expands prior work and presents a novel method to create data-driven nutrient interpretation ranges by fitting models based on the Sufficiency Range Approach (SRA) to provide more refined ranges of deficient, low, sufficient, high, and excessive values for 11 essential elements based on n = 407 data points. Data distributions were analyzed by fitting Normal, Gamma, and Weibull distributions. This study establishes using SRA to create refined interpretation ranges for pentas foliar nutrient analysis results with a higher degree of precision than what is currently available to the greenhouse industry for diagnosing fertility status.