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db<>fiddle
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declare @summarizedtable table (
month int,
calls int,
deals int,
productssold int,
avgsaleprice int)
insert into @summarizedtable (month, calls, deals, productssold, avgsaleprice)
values (1,25,6,7,500),
(2,17,2,4,300),
(3,15,3,5,600),
(4,22,1,1,800),
(5,18,7,12,300),
(6,12,9,15,250);
select x.category,
sum(case when t.month = 1 then val end) month_1,
sum(case when t.month = 2 then val end) month_2,
sum(case when t.month = 3 then val end) month_3,
sum(case when t.month = 4 then val end) month_4,
sum(case when t.month = 5 then val end) month_5,
sum(case when t.month = 6 then val end) month_6
from @summarizedtable t
cross apply (values
('calls', t.calls),
('deals', t.deals),
('productssold', t.productssold),
('avgsaleprice', t.avgsaleprice)
) as x(category, val)
group by x.category
category month_1 month_2 month_3 month_4 month_5 month_6
avgsaleprice 500 300 600 800 300 250
calls 25 17 15 22 18 12
deals 6 2 3 1 7 9
productssold 7 4 5 1 12 15
Warning: Null value is eliminated by an aggregate or other SET operation.