That looks correct to me. I double checked by plotting the x and y values, and then the best fit line, and it goes through 0. Then I ran the code again but added 30 to y before fitting so that the unconstrained best fit would not go through 0, but it appears the fit does, in fact, go through 0 still.
% Create example data
x = 1:100;
y = x*rand(1) + rand(size(x))*10 + rand(1)/10 + 30 ;
% x1 means fit linear term (i.e. slope), and -1 means do NOT include offset (e.g. intercept), right?
fittedLinearModel = fitlm(x, y, 'y ~ x1 - 1');
figure() ;
scatter( x , y ) ;
hold on ;
plot( x , fittedLinearModel.Coefficients.Estimate*x )
So, based on that evidence, I believe you are correct!