I have 3 tables; contracts, dealers, and users.

users have many dealers and dealers have many contracts but the contracts are not directly associated with the users.

I am trying to build a report that gets me a monthly count of completed contracts grouped by user for the last 12 months.

So far I have built a multiple subquery, which is very slow: SQL Fiddle

SELECT *,
  ( SELECT count(*) FROM contracts
     WHERE
       dealer_id IN
         ( SELECT id FROM dealers WHERE user_id = User.id )
       AND status = 'Paid'
       AND completion_date BETWEEN
         '2012-08-01 00:00:00' AND '2012-08-31 23:59:59'
  ) AS Aug_2012,

  ( SELECT count(*) FROM contracts
     WHERE
       dealer_id IN
         ( SELECT id FROM dealers WHERE user_id = User.id )
       AND status = 'Paid'
       AND completion_date BETWEEN
         '2012-09-01 00:00:00' AND '2012-09-30 23:59:59'
  ) AS Sep_2012
FROM users AS User
  WHERE
    id IN( SELECT user_id FROM dealers WHERE active = 1 AND user_id IS NOT NULL GROUP BY user_id )
    AND id != 1
  ORDER BY User.name ASC

Instead of the subquery which selects each month I'd like to use something like this:

COUNT(*) as last_12_months,
SUM(case when MONTH(completion_date) = 8 then 1 else 0 end) as Aug_2012,
SUM(case when MONTH(completion_date) = 9 then 1 else 0 end) as Sep_2012,
etc.

Since I'd be returning multiple columns I would have to restructure it, but I'm not sure how. If I use an INNER JOIN what clause do I join on?

Here's the final query based on Mikhail's answer below:

SELECT
User.*,
SUM(case when MONTH(completion_date) = 8 then 1 else 0 end) AS Aug_2012,
SUM(case when MONTH(completion_date) = 9 then 1 else 0 end) AS Sep_2012,
SUM(case when MONTH(completion_date) = 10 then 1 else 0 end) AS Oct_2012,
SUM(case when MONTH(completion_date) = 11 then 1 else 0 end) AS Nov_2012,
SUM(case when MONTH(completion_date) = 12 then 1 else 0 end) AS Dec_2012,
SUM(case when MONTH(completion_date) = 1 then 1 else 0 end) AS Jan_2013,
SUM(case when MONTH(completion_date) = 2 then 1 else 0 end) AS Feb_2013,
SUM(case when MONTH(completion_date) = 3 then 1 else 0 end) AS Mar_2013,
SUM(case when MONTH(completion_date) = 4 then 1 else 0 end) AS Apr_2013,
SUM(case when MONTH(completion_date) = 5 then 1 else 0 end) AS May_2013,
SUM(case when MONTH(completion_date) = 6 then 1 else 0 end) AS Jun_2013,
SUM(case when MONTH(completion_date) = 7 then 1 else 0 end) AS Jul_2013,
SUM(case when completion_date BETWEEN '2012-08-01 00:00:00' AND '2013-07-31 23:59:59' then 1 else 0 end) as last_12_months
FROM users AS User
LEFT OUTER JOIN 
( 
    SELECT id, user_id FROM dealers 
    WHERE active = 1 AND user_id IS NOT NULL
) AS Dealer ON User.id = Dealer.user_id
LEFT OUTER JOIN
(
    SELECT completion_date, status, dealer_id FROM contracts
    WHERE completion_date BETWEEN '2012-08-01 00:00:00' AND '2013-07-31 23:59:59' AND status = 'Paid' AND cancelled = 0
) AS Contract on Dealer.id = Contract.dealer_id
WHERE
    User.id IN 
    (
        SELECT user_id FROM dealers
        WHERE active = 1 AND user_id IS NOT NULL
        GROUP BY user_id
    )
GROUP BY
    User.id order by User.name asc

This is about 4 times faster.