Kurtosis is a measure of the heaviness of the tails of a distribution, with larger values indicating heavier tails. This means that the data contain some values that are very distant from the mean as compared to most of the other values of the variable.
At least four nonmissing values are required for computing kurtosis. In addition, kurtosis cannot be computed if the standard deviation is 0.