SQL Server 2016

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create table BASELINE
(CCP char(4),	BASELINE numeric(22,6),  YEARS	int ,QUART
 int);
 

insert into baseline
SELECT 'CCP1' AS CCP,5 AS BASELINE, 2015 AS YEARS,1 AS QUART ;
1 rows affected

create table gts
  ( CCP char(4),
    months int,
    QUART int,
    YEARS int,
    GTS numeric(22,6) 
  );
insert into gts
  (ccp, months, quart, years, gts)
values
  ('CCP1',  1, 1, 2015, 5),
  ('CCP1',  2, 1, 2015, 6),
  ('CCP1',  3, 1, 2015, 7),
  
  ('CCP1',  4, 2, 2015, 4),
  ('CCP1',  5, 2, 2015, 2),
  ('CCP1',  6, 2, 2015, 2),
  
  ('CCP1',  7, 3, 2015, 3),
  ('CCP1',  8, 3, 2015, 2),
  ('CCP1',  9, 3, 2015, 1),
  
  ('CCP1', 10, 4, 2015, 2),
  ('CCP1', 11, 4, 2015, 3),
  ('CCP1', 12, 4, 2015, 4),
  
  ('CCP1',  1, 1, 2016, 8),
  ('CCP1',  2, 1, 2016, 1),
  ('CCP1',  3, 1, 2016, 3) ;
15 rows affected

    select 
        ccp, years, quart,
        q1 = sum(gts)
    from gts 
    group by ccp, years, quart ;


ccp
years
quart
q1


CCP1
2015
1
18.000000

CCP1
2015
2
8.000000

CCP1
2015
3
6.000000

CCP1
2015
4
9.000000

CCP1
2016
1
12.000000


with 
  ct as
  ( select 
        ccp, years, quart,
        q1 = sum(gts)
    from gts 
    group by ccp, years, quart
  )
select 
    ccp,  years, quart, -- months, gts, q1,
    q2 = round(exp(coalesce(sum(log(q1)) 
                            OVER (PARTITION BY ccp 
                                  ORDER BY Years, Quart 
                                  ROWS BETWEEN UNBOUNDED PRECEDING 
                                           AND 1 PRECEDING),0)),2)
from ct ;


ccp
years
quart
q2


CCP1
2015
1
1

CCP1
2015
2
18

CCP1
2015
3
144

CCP1
2015
4
864

CCP1
2016
1
7776


with 
  ct as
  ( select 
        ccp, years, quart, 
        q2 = cast(exp(coalesce(sum(log(sum(gts)))
                                OVER (PARTITION BY ccp 
                                      ORDER BY years, quart 
                                      ROWS BETWEEN UNBOUNDED PRECEDING 
                                               AND 1 PRECEDING)
                               , 0.0))
                   as numeric(22,6))           -- round appropriately to your requirements
    from gts 
    group by ccp, years, quart
  )
select 
    g.*, 
    result = g.gts * b.baseline * ct.q2,
    baseline = b.baseline * ct.q2
from ct 
  join gts as g
    on  ct.ccp   = g.ccp
    and ct.years = g.years 
    and ct.quart = g.quart 
  cross apply
        ( select top (1) baseline
          from baseline as b
          where b.ccp = ct.ccp
          order by years, quart
        ) as b
  ;


CCP
months
QUART
YEARS
GTS
result
baseline


CCP1
1
1
2015
5.000000
25.000000
5.000000

CCP1
2
1
2015
6.000000
30.000000
5.000000

CCP1
3
1
2015
7.000000
35.000000
5.000000

CCP1
4
2
2015
4.000000
360.000000
90.000000

CCP1
5
2
2015
2.000000
180.000000
90.000000

CCP1
6
2
2015
2.000000
180.000000
90.000000

CCP1
7
3
2015
3.000000
2160.000000
720.000000

CCP1
8
3
2015
2.000000
1440.000000
720.000000

CCP1
9
3
2015
1.000000
720.000000
720.000000

CCP1
10
4
2015
2.000000
8640.000000
4320.000000

CCP1
11
4
2015
3.000000
12960.000000
4320.000000

CCP1
12
4
2015
4.000000
17280.000000
4320.000000

CCP1
1
1
2016
8.000000
311040.000000
38880.000000

CCP1
2
1
2016
1.000000
38880.000000
38880.000000

CCP1
3
1
2016
3.000000
116640.000000
38880.000000

ccp	years	quart	q1
CCP1	2015	1	18.000000
CCP1	2015	2	8.000000
CCP1	2015	3	6.000000
CCP1	2015	4	9.000000
CCP1	2016	1	12.000000

CCP	months	QUART	YEARS	GTS	result	baseline
CCP1	1	1	2015	5.000000	25.000000	5.000000
CCP1	2	1	2015	6.000000	30.000000	5.000000
CCP1	3	1	2015	7.000000	35.000000	5.000000
CCP1	4	2	2015	4.000000	360.000000	90.000000
CCP1	5	2	2015	2.000000	180.000000	90.000000
CCP1	6	2	2015	2.000000	180.000000	90.000000
CCP1	7	3	2015	3.000000	2160.000000	720.000000
CCP1	8	3	2015	2.000000	1440.000000	720.000000
CCP1	9	3	2015	1.000000	720.000000	720.000000
CCP1	10	4	2015	2.000000	8640.000000	4320.000000
CCP1	11	4	2015	3.000000	12960.000000	4320.000000
CCP1	12	4	2015	4.000000	17280.000000	4320.000000
CCP1	1	1	2016	8.000000	311040.000000	38880.000000
CCP1	2	1	2016	1.000000	38880.000000	38880.000000
CCP1	3	1	2016	3.000000	116640.000000	38880.000000