The article explores formulas for the expectation and covariance matrix of compound matrices made up of smaller parts of Wishart matrices. These smaller parts are important in understanding constraints on covariance matrices in various multivariate problems. The research provides insights into the first and second moments of these smaller parts, helping in analyzing sample covariance matrices for multivariate normal observations.