with res as

(

 select 1 idnum, '2017-02' ym, '02-01' outdate, 10000  price union all

 select 1,  '2017-03', '03-13', 20000 union all

 select 1,  '2017-04', '04-10', 10000 union all

 select 2,  '2017-01', '01-18', 20000 union all

 select 2,  '2017-02',  '02-22', 30000  union all

 select 2,  '2017-05',  '05-23', 10000 union all

 select 3,  '2017-02',  '02-04', 50000 union all

 select 4,  '2017-04',  '04-21' , 10000 union all

 select 4,  '2017-04',  '04-21', 20000 )

 select idnum

     ,  max([01_outdate]) [01_outdate]

     ,  sum([01_price]  ) [01_price]

     ,  max([02_outdate]) [02_outdate]

     ,  sum([02_price]  ) [02_price]

     ,  max([03_outdate]) [03_outdate]

     ,  sum([03_price]  ) [03_price]

     ,  max([04_outdate]) [04_outdate]

     ,  sum([04_price]  ) [04_price]    

  from  (  select idnum 

              --  , ym 

                , outdate , price

    , right(ym,2)+'_outdate'  mm

    , right(ym,2)+'_price'  mm_price

     from res  ) As P

 PIVOT (         

          max(outdate)

          FOR [mm] IN ( [01_outdate],[02_outdate],[03_outdate],[04_outdate] )

        ) AS PVT1

 PIVOT (         

          sum(price)

          FOR [mm_price] IN ( [01_price],[02_price],[03_price],[04_price] )

        ) AS PVT2

 group by idnum