Formula for Variance when using prompts

Hi,
I would like to know how to compute the variance between 2 years in a pivote table.
I have the customer name and then the period key (01-2012, 01-2012...01-2013, 02-2013) and the calendar year in Columns. I selected to do a sum per year and per customer but I do not know how to compute the variance between the Year N and the Year N-1 in the pivot table, knowing that in a dashboard I have created a prompt which select the period key so that I have the same month for year N-1 and year N.
Could you please help,
I know that there is a complicated formula...and I would need some help,
thank you,

I tend to agree with the unitless concept.
Interesting thing is this though. I just got a chance to break out my ipad during lunchtime and try the duration issue itself out (I dont think I had the duration portion known when i first posted).
I dont get an error when using the division of two dollar values in the duration equation. I got 2w as my answer. (btw, duration in numbers is for formatting as a duration of weeks, months days... etc. didnt know if you realized that)
I do get the error if I try to reference one fo the values without division, just the cell ref itself. I used "Value(B3)" and it converted to a base number and gave me my proper answer.
Can you verify for me again please? I think you might be having another issue possibly.
Thanks
Jason

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with
d_list as
select territory, customer_name, order_no, sum(buy_qty_due) || ' x ' || catalog_desc d, sum(total_line_price_less_disc) v
from
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AND
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AND
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AND
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AND
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group by
territory, customer_name, order_no, catalog_desc
select
d_list.territory,
d_list.customer_name,
d_list.order_no,
d,
0 as sum_value,
d_list.v
from
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d_list
where
s_list.order_no=d_list.order_no
order by
d_list.territory, d_list.customer_name, d_list.order_no,d
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with
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select territory, customer_name, order_no, sum(buy_qty_due) || ' x ' || catalog_desc d, sum(total_line_price_less_disc) v
from
ifsinfo.cust_ord_salescodes
where
site LIKE 'OKM' || '%'
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AND
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AND
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AND
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territory, customer_name, order_no, catalog_desc
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d_list.territory,
d_list.customer_name,
d_list.order_no,
d,
0 as sum_value,
d_list.v
from
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d_list
--where
--s_list.order_no=d_list.order_no
order by
d_list.territory, d_list.customer_name, d_list.order_no,d
/

Thanks David. The actual SQL is as follows:
with
p_list as
(select * from
(select 'OKM'     p_company,
     'GAS'     p_subdiv,
     '01/06/2007' p_startdate,
     2     p_months,
     3000     p_minval,
     DECODE(UPPER('OKM'),'OKM','DD/MM/YYYY','KMI','DD/MM/YYYY','OIA','MM/DD/YYYY') p_datefmt
from dual)
d_list as
select territory, customer_name, order_no, sum(buy_qty_due) || ' x ' || catalog_desc d, sum(total_line_price_less_disc) v
from
ifsinfo.cust_ord_salescodes,
p_list
where
site LIKE p_company || '%'
and
line_date_entered >=TO_DATE (p_startdate,p_datefmt)
AND
line_date_entered <ADD_MONTHS (TO_DATE (p_startdate,p_datefmt),p_months)+(1-1/(60*60*24))
AND
sub_division = p_subdiv
AND
line_item_no <= 0
AND
line_status != 'Cancelled'
group by
territory, customer_name, order_no, catalog_desc
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(select d_list.order_no, sum(V) sv from d_list, p_list having sum(V) > max(p_minval) group by d_list.order_no) s_list,
d_list
where
s_list.order_no=d_list.order_no
order by
d_list.territory, d_list.customer_name, d_list.order_no,d
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The actual VIEW is:
SELECT
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     co.currency_code                         currency_code,
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head_open_status,
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     col.rel_no                              rel_no,
     col.line_item_no                         line_item_no,
     NVL(col.part_no,x_def_inv_part)                    inventory_part_no,
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qty_shipped,
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          DECODE(SIGN(col.line_item_no),1,0,col.base_sale_unit_price*col.price_conv_factor)-
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               (DECODE(SIGN(col.line_item_no),1,0,col.buy_qty_due*col.base_sale_unit_price*col.price_conv_factor)*(1-(1-NVL(col.discount,0)/100)*(1-NVL(col.order_discount,0)/100)))
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          DECODE(SIGN(col.line_item_no),1,0,col.buy_qty_due*col.base_sale_unit_price*col.price_conv_factor)
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          DECODE(SIGN(col.line_item_no),1,0,col.buy_qty_due*col.base_sale_unit_price*col.price_conv_factor)-
          ROUND     (
               (DECODE(SIGN(col.line_item_no),1,0,col.buy_qty_due*col.base_sale_unit_price*col.price_conv_factor)*(1-(1-NVL(col.discount,0)/100)*(1-NVL(col.order_discount,0)/100)))
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     NVL(co.commission_percentage,0)                    commission_percent,
     1-NVL(co.commission_percentage,0)/100               commission_factor,
     NVL(co.commission_percentage,0)/100               less_commission_factor,
col.cost
FROM
     ifsapp.customer_order_line                    col,
     ifsapp.customer_order                         co,
     ifsapp.sales_part_salesman                    sps,
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     (select
          2                               x_rounding_dp,
          6                               x_curr_rounding_dp,
          '9999999'                         x_def_inv_part,
          'Domestic'                         x_def_district_code
      from
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WHERE
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AND
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AND
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Formula for Variance when using prompts

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