The interpretation of the output is given below:
B - This is the coefficient for the constant (also called the "intercept") in the model.
S.E. - This is the standard error around the coefficient for the constant
Wald and Sig. -
This is the Wald chi-square test that tests the null hypothesis that the constant equals 0. This hypothesis is rejected because the p-value (listed in the column called "Sig.") is smaller than the critical p-value of .05 (or .01). Hence, we conclude that the constant is not 0.
df - This is the degrees of freedom for the Wald chi-square test. There is only one degree of freedom because there is only one predictor in the model, namely the constant.
Exp(B) - This is the exponentiation of the B coefficient, which is an odds ratio. This value is given by default because odds ratios can be easier to interpret than the coefficient, which is in log-odds units.
95% C.I.for EXP(B): This is confidence interval (95%) for Exp(B), it can be anywhere between 2.263 and 3.401
Hope this helps !