This paper considers two supercritical branching processes with immigration in different random environments, denoted by
$\{Z_{1,n}\}$ and
$\{Z_{2,m}\}$, with criticality parameters µ1 and µ2, respectively. Under certain conditions, it is known that
$\frac{1}{n} \log Z_{1,n} \to \mu_1$ and
$\frac{1}{m} \log Z_{2,m} \to \mu_2$ converge in probability as
$m, n \to \infty$. We present basic properties about a central limit theorem, a non-uniform Berry–Esseen’s bound, and Cramér’s moderate deviations for
$\frac{1}{n} \log Z_{1,n} - \frac{1}{m} \log Z_{2,m}$ as
$m, n \to \infty$. To this end, applications to construction of confidence intervals and simulations are also given.