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XLeratorDB/windowing Documentation

SQL Server FIFO function


FIFO

Updated: 31 Dec 2013


Use FIFO to calculate running FIFO (first in, first out) values in an ordered resultant table, without the need for a self-join. FIFO calculates balances for each value from the first value to the last value in the ordered group or partition. FIFO can return the quantity on-hand, the inventory value, the gross margin on sale, the gross margin percentage, the cost of goods sold, the average inventory price, the last inventory price, the cumulative cost of goods sold, the cumulative gross margin on sale, and the cumulative gross margin percentage.
FIFO supports both long and short inventory positions. In other words, if the quantity on hand falls below the zero, FIFO calculates from the last sale or withdrawal transaction, rather than from the last purchases or additions to inventory.
FIFO assumes that the quantity (i.e. the number of units) of the transaction and the monetary value of the transaction have the same sign. FIFO adds NULL values to the inventory at the last price.
FIFO requires monotonically ascending row numbers within a partition; otherwise the function returns an error message
FIFO resets all calculated values when the row number value is 1.
Syntax
SELECT [westclintech].[wct].[FIFO](
  <@Qty, float,>
 ,<@Cost, float,>
 ,<@RV, nvarchar(4000),>
 ,<@Round, int,>
 ,<@RowNum, int,>
 ,<@Id, tinyint,>)
Arguments
@Qty
the number of units being added to or subtracted from inventory. @Qty is an expression of type float or of a type that can be implicitly converted to float.
@Cost
the value associated with @Qty. Additions to inventory should have a @Cost > 0; withdrawals from inventory should have a cost <= 0. If you are not interested in calculating the gross margin on sales or if the quantity on hand will never be less than zero, then just enter zero for the @Cost when the @Qty is less than zero. @Cost is an expression of type float or of a type that can be implicitly converted to float.
@RV
the calculated value returned by the function. Permissible values are:

'Q','QTY'
Quantity on hand
'B','EV','EB'
Inventory value
'G','GM'
Gross margin
'C','COG','COGS'
Cost of goods sold
'U','UP'
(Average) Unit price
'L','LP'
Last price
'CC','COGC','COGSC'
Cumulative cost of goods sold
'GC','GMC'
Cumulative gross margin
'GP','GMP'
Gross margin percentage
'CGP','CGMP'
Cumulative gross margin percentage

@Round
the number of decimals places to store the result. @Round is only used in the calculation of the gross margin. @Round is an expression of type int or of a type that can be implicitly converted to int.
@RowNum
the number of the row within the group for which the sum is being calculated. If @RowNum for the current row in a set is less than or equal to the previous @RowNum and @RowNum is not equal to 1, an error message will be generated. @RowNum is an expression of type int or of a type that can be implicitly converted to int.
@Id
a unique identifier for the FIFO calculation. @Id allows you to specify multiple moving sums within a resultant table. @Id is an expression of type tinyint or of a type that can be implicitly converted to tinyint.
Remarks
·         If @Id is NULL then @Id = 0.
·         To calculate LIFO values, use the LIFO function.
·         To calculate weighted-average cost values, use the WAC function.
·         If @RowNum is equal to 1, then cost of goods sold = 0, gross margin = 0, quantity on hand = @Qty, and inventory balance = @Cost.
·         @RowNum must be in ascending order.
·         There may be cases where the order in which the data are returned to the function and the order in which the results are returned are different, generally due to parallelism. You can use OPTION(MAXDOP 1) or OPTION(MAXDOP 1,FORCE ORDER) to help eliminate this problem.
Example
In the following examples, we calculate FIFO inventory values for stock trades in the ABC, XYZ, and GHI companies. We will create a temporary table, #c and populate it with some data. We can be either short or long the shares at any point in time.
--Create the temporary table
CREATE TABLE #c   (
      trn               int,
      sym               char(3),
      tDate             date,
      qty               money,
      price_unit        money,
      price_extended    money,
      PRIMARY KEY (trn)
      )
--Populate the table with some data
INSERT INTO #c VALUES (01131019,'XYZ','2013-10-19',424,25.13,10655.12)
INSERT INTO #c VALUES (02130617,'ABC','2013-06-17',313,12.93,4047.09)
INSERT INTO #c VALUES (03130308,'ABC','2013-03-08',-157,13.17,-2067.69)
INSERT INTO #c VALUES (04130516,'GHI','2013-05-16',160,34.48,5516.8)
INSERT INTO #c VALUES (05130706,'XYZ','2013-07-06',-170,23.46,-3988.2)
INSERT INTO #c VALUES (06130924,'GHI','2013-09-24',328,34.95,11463.6)
INSERT INTO #c VALUES (07130722,'ABC','2013-07-22',599,13.65,8176.35)
INSERT INTO #c VALUES (08131231,'ABC','2013-12-31',-145,13.19,-1912.55)
INSERT INTO #c VALUES (09131025,'XYZ','2013-10-25',-153,24.31,-3719.43)
INSERT INTO #c VALUES (10130908,'ABC','2013-09-08',-386,13.65,-5268.9)
INSERT INTO #c VALUES (11130906,'XYZ','2013-09-06',-13,23.97,-311.61)
INSERT INTO #c VALUES (12130621,'ABC','2013-06-21',-326,12.73,-4149.98)
INSERT INTO #c VALUES (13131221,'GHI','2013-12-21',72,34.38,2475.36)
INSERT INTO #c VALUES (14130705,'XYZ','2013-07-05',-277,25.01,-6927.77)
INSERT INTO #c VALUES (15130307,'GHI','2013-03-07',559,35.21,19682.39)
INSERT INTO #c VALUES (16131107,'ABC','2013-11-07',27,12.68,342.36)
INSERT INTO #c VALUES (17130924,'GHI','2013-09-24',-291,35.69,-10385.79)
INSERT INTO #c VALUES (18140125,'GHI','2014-01-25',-78,35.46,-2765.88)
INSERT INTO #c VALUES (19130516,'XYZ','2013-05-16',315,23.57,7424.55)
INSERT INTO #c VALUES (20130518,'ABC','2013-05-18',298,13.23,3942.54)
INSERT INTO #c VALUES (21131103,'XYZ','2013-11-03',-326,23.24,-7576.24)
INSERT INTO #c VALUES (22131012,'XYZ','2013-10-12',596,23.16,13803.36)
INSERT INTO #c VALUES (23130619,'XYZ','2013-06-19',296,23.46,6944.16)
INSERT INTO #c VALUES (24130418,'XYZ','2013-04-18',275,24.83,6828.25)
INSERT INTO #c VALUES (25130408,'ABC','2013-04-08',298,12.98,3868.04)
INSERT INTO #c VALUES (26130320,'ABC','2013-03-20',-92,13.64,-1254.88)
INSERT INTO #c VALUES (27130906,'XYZ','2013-09-06',-147,23.81,-3500.07)
INSERT INTO #c VALUES (28131209,'XYZ','2013-12-09',315,24.46,7704.9)
INSERT INTO #c VALUES (29130602,'XYZ','2013-06-02',114,24.29,2769.06)
INSERT INTO #c VALUES (30130519,'XYZ','2013-05-19',467,23.15,10811.05)
INSERT INTO #c VALUES (31140205,'XYZ','2014-02-05',42,24.39,1024.38)
INSERT INTO #c VALUES (32130310,'ABC','2013-03-10',-63,12.61,-794.43)
INSERT INTO #c VALUES (33140102,'XYZ','2014-01-02',-196,22.98,-4504.08)
INSERT INTO #c VALUES (34130507,'XYZ','2013-05-07',55,23.43,1288.65)
INSERT INTO #c VALUES (35130321,'XYZ','2013-03-21',275,24.83,6828.25)
INSERT INTO #c VALUES (36130917,'XYZ','2013-09-17',92,24.6,2263.2)
INSERT INTO #c VALUES (37130220,'XYZ','2013-02-20',528,23.54,12429.12)
INSERT INTO #c VALUES (38130311,'XYZ','2013-03-11',-193,24.9,-4805.7)
INSERT INTO #c VALUES (39130908,'ABC','2013-09-08',490,12.69,6218.1)
INSERT INTO #c VALUES (40131013,'XYZ','2013-10-13',359,23.91,8583.69)
INSERT INTO #c VALUES (41130310,'ABC','2013-03-10',463,13.38,6194.94)
INSERT INTO #c VALUES (42131011,'XYZ','2013-10-11',-250,23.12,-5780)
INSERT INTO #c VALUES (43130521,'GHI','2013-05-21',-174,34.2,-5950.8)
INSERT INTO #c VALUES (44130227,'XYZ','2013-02-27',357,22.86,8161.02)
INSERT INTO #c VALUES (45131030,'XYZ','2013-10-30',-350,23.36,-8176)
INSERT INTO #c VALUES (46130301,'ABC','2013-03-01',157,13.01,2042.57)
INSERT INTO #c VALUES (47130619,'XYZ','2013-06-19',413,25.18,10399.34)
INSERT INTO #c VALUES (48130430,'ABC','2013-04-30',229,13.32,3050.28)
INSERT INTO #c VALUES (49130508,'ABC','2013-05-08',238,12.79,3044.02)
INSERT INTO #c VALUES (50131103,'GHI','2013-11-03',-246,35.61,-8760.06)
INSERT INTO #c VALUES (51131206,'GHI','2013-12-06',85,33.64,2859.4)
INSERT INTO #c VALUES (52131014,'GHI','2013-10-14',-91,33.12,-3013.92)
INSERT INTO #c VALUES (53140102,'GHI','2014-01-02',396,35.52,14065.92)
INSERT INTO #c VALUES (54130831,'XYZ','2013-08-31',-61,23.23,-1417.03)
INSERT INTO #c VALUES (55130630,'XYZ','2013-06-30',-272,23.45,-6378.4)
INSERT INTO #c VALUES (56130419,'GHI','2013-04-19',416,34.46,14335.36)
INSERT INTO #c VALUES (57130813,'XYZ','2013-08-13',-163,23.65,-3854.95)
INSERT INTO #c VALUES (58130722,'XYZ','2013-07-22',-88,24.64,-2168.32)
INSERT INTO #c VALUES (59130320,'XYZ','2013-03-20',-20,23.59,-471.8)
INSERT INTO #c VALUES (60130419,'XYZ','2013-04-19',277,22.83,6323.91)
INSERT INTO #c VALUES (61130916,'ABC','2013-09-16',-202,12.94,-2613.88)
INSERT INTO #c VALUES (62131027,'XYZ','2013-10-27',-248,24.71,-6128.08)
INSERT INTO #c VALUES (63130806,'GHI','2013-08-06',445,33.5,14907.5)
INSERT INTO #c VALUES (64140109,'XYZ','2014-01-09',-253,24.46,-6188.38)
INSERT INTO #c VALUES (65131227,'GHI','2013-12-27',376,33.49,12592.24)
INSERT INTO #c VALUES (66140203,'XYZ','2014-02-03',459,23.7,10878.3)
INSERT INTO #c VALUES (67130302,'XYZ','2013-03-02',9,24.04,216.36)
INSERT INTO #c VALUES (68130223,'ABC','2013-02-23',238,12.78,3041.64)
INSERT INTO #c VALUES (69130403,'GHI','2013-04-03',-151,33.16,-5007.16)
INSERT INTO #c VALUES (70130702,'GHI','2013-07-02',-162,35.48,-5747.76)
INSERT INTO #c VALUES (71130731,'ABC','2013-07-31',79,13.55,1070.45)
INSERT INTO #c VALUES (72140204,'XYZ','2014-02-04',-208,24.36,-5066.88)
INSERT INTO #c VALUES (73131028,'GHI','2013-10-28',-46,34.65,-1593.9)
INSERT INTO #c VALUES (74130619,'XYZ','2013-06-19',202,22.95,4635.9)
INSERT INTO #c VALUES (75131216,'GHI','2013-12-16',500,33.55,16775)
INSERT INTO #c VALUES (76131009,'ABC','2013-10-09',249,13.47,3354.03)
INSERT INTO #c VALUES (77130825,'GHI','2013-08-25',272,33.86,9209.92)
INSERT INTO #c VALUES (78140112,'XYZ','2014-01-12',332,24.28,8060.96)
INSERT INTO #c VALUES (79131223,'XYZ','2013-12-23',-376,25.12,-9445.12)
INSERT INTO #c VALUES (80140126,'XYZ','2014-01-26',404,24.23,9788.92)
INSERT INTO #c VALUES (81131123,'GHI','2013-11-23',187,33.86,6331.82)
INSERT INTO #c VALUES (82140131,'XYZ','2014-01-31',548,23.65,12960.2)
INSERT INTO #c VALUES (83130428,'XYZ','2013-04-28',142,23.13,3284.46)
INSERT INTO #c VALUES (84140104,'XYZ','2014-01-04',261,24.46,6384.06)
INSERT INTO #c VALUES (85131002,'GHI','2013-10-02',-295,32.51,-9590.45)
INSERT INTO #c VALUES (86131114,'ABC','2013-11-14',-386,12.4,-4786.4)
INSERT INTO #c VALUES (87131116,'GHI','2013-11-16',-320,34.16,-10931.2)
INSERT INTO #c VALUES (88131009,'ABC','2013-10-09',187,13.36,2498.32)
INSERT INTO #c VALUES (89130611,'ABC','2013-06-11',130,13.02,1692.6)
INSERT INTO #c VALUES (90130430,'ABC','2013-04-30',-191,13.49,-2576.59)
INSERT INTO #c VALUES (91130615,'XYZ','2013-06-15',545,23.88,13014.6)
INSERT INTO #c VALUES (92130924,'XYZ','2013-09-24',-248,24.58,-6095.84)
INSERT INTO #c VALUES (93130622,'ABC','2013-06-22',-227,13.47,-3057.69)
INSERT INTO #c VALUES (94131117,'GHI','2013-11-17',-92,32.65,-3003.8)
INSERT INTO #c VALUES (95130908,'GHI','2013-09-08',103,35.42,3648.26)
INSERT INTO #c VALUES (96130716,'GHI','2013-07-16',-347,35.29,-12245.63)
INSERT INTO #c VALUES (97131125,'XYZ','2013-11-25',-278,23.18,-6444.04)
INSERT INTO #c VALUES (98130413,'XYZ','2013-04-13',243,24.25,5892.75)
INSERT INTO #c VALUES (99130515,'XYZ','2013-05-15',97,25.13,2437.61)
--Calculate the FIFO values
SELECT *
,wct.FIFO(
 qty             --@Qty
,price_extended   --@Cost
,'QTY'            --@RV
,2                --@Round
,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn) --@RowNum
,0                --@Id
) as [On Hand]
,wct.FIFO(
 qty             --@Qty
,price_extended   --@Cost
,'EV'             --@RV
,2                --@Round
,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn) --@RowNum
,1                --@Id
) as [Value]
FROM #c
ORDER BY sym, tDate, trn
 
DROP TABLE #c

This produces the following result.
        trn sym  tDate       qty price_unit price_extended On Hand    Value
----------- ---- ---------- ---- ---------- -------------- ------- --------
   68130223 ABC  2013-02-23  238      12.78        3041.64     238  3041.64
   46130301 ABC  2013-03-01  157      13.01        2042.57     395  5084.21
    3130308 ABC  2013-03-08 -157      13.17       -2067.69     238  3077.75
   32130310 ABC  2013-03-10  -63      12.61        -794.43     175  2272.61
   41130310 ABC  2013-03-10  463      13.38        6194.94     638  8467.55
   26130320 ABC  2013-03-20  -92      13.64       -1254.88     546  7274.77
   25130408 ABC  2013-04-08  298      12.98        3868.04     844 11142.81
   48130430 ABC  2013-04-30  229      13.32        3050.28    1073 14193.09
   90130430 ABC  2013-04-30 -191      13.49       -2576.59     882 11668.22
   49130508 ABC  2013-05-08  238      12.79        3044.02    1120 14712.24
   20130518 ABC  2013-05-18  298      13.23        3942.54    1418 18654.78
   89130611 ABC  2013-06-11  130      13.02        1692.60    1548 20347.38
    2130617 ABC  2013-06-17  313      12.93        4047.09    1861 24394.47
   12130621 ABC  2013-06-21 -326      12.73       -4149.98    1535 20032.59
   93130622 ABC  2013-06-22 -227      13.47       -3057.69    1308 17074.53
    7130722 ABC  2013-07-22  599      13.65        8176.35    1907 25250.88
   71130731 ABC  2013-07-31   79      13.55        1070.45    1986 26321.33
   10130908 ABC  2013-09-08 -386      13.65       -5268.90    1600 21244.02
   39130908 ABC  2013-09-08  490      12.69        6218.10    2090 27462.12
   61130916 ABC  2013-09-16 -202      12.94       -2613.88    1888 24869.30
   76131009 ABC  2013-10-09  249      13.47        3354.03    2137 28223.33
   88131009 ABC  2013-10-09  187      13.36        2498.32    2324 30721.65
   16131107 ABC  2013-11-07   27      12.68         342.36    2351 31064.01
   86131114 ABC  2013-11-14 -386      12.40       -4786.40    1965 25980.12
    8131231 ABC  2013-12-31 -145      13.19       -1912.55    1820 24103.38
   15130307 GHI  2013-03-07  559      35.21       19682.39     559 19682.39
   69130403 GHI  2013-04-03 -151      33.16       -5007.16     408 14365.68
   56130419 GHI  2013-04-19  416      34.46       14335.36     824 28701.04
    4130516 GHI  2013-05-16  160      34.48        5516.80     984 34217.84
   43130521 GHI  2013-05-21 -174      34.20       -5950.80     810 28091.30
   70130702 GHI  2013-07-02 -162      35.48       -5747.76     648 22387.28
   96130716 GHI  2013-07-16 -347      35.29      -12245.63     301 10375.66
   63130806 GHI  2013-08-06  445      33.50       14907.50     746 25283.16
   77130825 GHI  2013-08-25  272      33.86        9209.92    1018 34493.08
   95130908 GHI  2013-09-08  103      35.42        3648.26    1121 38141.34
    6130924 GHI  2013-09-24  328      34.95       11463.60    1449 49604.94
   17130924 GHI  2013-09-24 -291      35.69      -10385.79    1158 39574.08
   85131002 GHI  2013-10-02 -295      32.51       -9590.45     863 29681.78
   52131014 GHI  2013-10-14  -91      33.12       -3013.92     772 26633.28
   73131028 GHI  2013-10-28  -46      34.65       -1593.90     726 25092.28
   50131103 GHI  2013-11-03 -246      35.61       -8760.06     480 16771.00
   87131116 GHI  2013-11-16 -320      34.16      -10931.20     160  5592.00
   94131117 GHI  2013-11-17  -92      32.65       -3003.80      68  2376.60
   81131123 GHI  2013-11-23  187      33.86        6331.82     255  8708.42
   51131206 GHI  2013-12-06   85      33.64        2859.40     340 11567.82
   75131216 GHI  2013-12-16  500      33.55       16775.00     840 28342.82
   13131221 GHI  2013-12-21   72      34.38        2475.36     912 30818.18
   65131227 GHI  2013-12-27  376      33.49       12592.24    1288 43410.42
   53140102 GHI  2014-01-02  396      35.52       14065.92    1684 57476.34
   18140125 GHI  2014-01-25  -78      35.46       -2765.88    1606 54761.14
   37130220 XYZ  2013-02-20  528      23.54       12429.12     528 12429.12
   44130227 XYZ  2013-02-27  357      22.86        8161.02     885 20590.14
   67130302 XYZ  2013-03-02    9      24.04         216.36     894 20806.50
   38130311 XYZ  2013-03-11 -193      24.90       -4805.70     701 16263.28
   59130320 XYZ  2013-03-20  -20      23.59        -471.80     681 15792.48
   35130321 XYZ  2013-03-21  275      24.83        6828.25     956 22620.73
   98130413 XYZ  2013-04-13  243      24.25        5892.75    1199 28513.48
   24130418 XYZ  2013-04-18  275      24.83        6828.25    1474 35341.73
   60130419 XYZ  2013-04-19  277      22.83        6323.91    1751 41665.64
   83130428 XYZ  2013-04-28  142      23.13        3284.46    1893 44950.10
   34130507 XYZ  2013-05-07   55      23.43        1288.65    1948 46238.75
   99130515 XYZ  2013-05-15   97      25.13        2437.61    2045 48676.36
   19130516 XYZ  2013-05-16  315      23.57        7424.55    2360 56100.91
   30130519 XYZ  2013-05-19  467      23.15       10811.05    2827 66911.96
   29130602 XYZ  2013-06-02  114      24.29        2769.06    2941 69681.02
   91130615 XYZ  2013-06-15  545      23.88       13014.60    3486 82695.62
   23130619 XYZ  2013-06-19  296      23.46        6944.16    3782 89639.78
   47130619 XYZ  2013-06-19  413      25.18       10399.34    4195 100039.1
   74130619 XYZ  2013-06-19  202      22.95        4635.90    4397 104675.0
   55130630 XYZ  2013-06-30 -272      23.45       -6378.40    4125 98272.14
   14130705 XYZ  2013-07-05 -277      25.01       -6927.77    3848 91910.68
    5130706 XYZ  2013-07-06 -170      23.46       -3988.20    3678 87939.00
   58130722 XYZ  2013-07-22  -88      24.64       -2168.32    3590 85753.96
   57130813 XYZ  2013-08-13 -163      23.65       -3854.95    3427 81714.79
   54130831 XYZ  2013-08-31  -61      23.23       -1417.03    3366 80235.54
   11130906 XYZ  2013-09-06  -13      23.97        -311.61    3353 79920.29
   27130906 XYZ  2013-09-06 -147      23.81       -3500.07    3206 76355.54
   36130917 XYZ  2013-09-17   92      24.60        2263.20    3298 78618.74
   92130924 XYZ  2013-09-24 -248      24.58       -6095.84    3050 72465.54
   42131011 XYZ  2013-10-11 -250      23.12       -5780.00    2800 66688.04
   22131012 XYZ  2013-10-12  596      23.16       13803.36    3396 80491.40
   40131013 XYZ  2013-10-13  359      23.91        8583.69    3755 89075.09
    1131019 XYZ  2013-10-19  424      25.13       10655.12    4179 99730.21
    9131025 XYZ  2013-10-25 -153      24.31       -3719.43    4026 96209.92
   62131027 XYZ  2013-10-27 -248      24.71       -6128.08    3778 90243.38
   45131030 XYZ  2013-10-30 -350      23.36       -8176.00    3428 82027.48
   21131103 XYZ  2013-11-03 -326      23.24       -7576.24    3102 74480.58
   97131125 XYZ  2013-11-25 -278      23.18       -6444.04    2824 67839.73
   28131209 XYZ  2013-12-09  315      24.46        7704.90    3139 75544.63
   79131223 XYZ  2013-12-23 -376      25.12       -9445.12    2763 66565.75
   33140102 XYZ  2014-01-02 -196      22.98       -4504.08    2567 61939.87
   84140104 XYZ  2014-01-04  261      24.46        6384.06    2828 68323.93
   64140109 XYZ  2014-01-09 -253      24.46       -6188.38    2575 62238.91
   78140112 XYZ  2014-01-12  332      24.28        8060.96    2907 70299.87
   80140126 XYZ  2014-01-26  404      24.23        9788.92    3311 80088.79
   82140131 XYZ  2014-01-31  548      23.65       12960.20    3859 93048.99
   66140203 XYZ  2014-02-03  459      23.70       10878.30    4318 103927.2
   72140204 XYZ  2014-02-04 -208      24.36       -5066.88    4110 98689.85
   31140205 XYZ  2014-02-05   42      24.39        1024.38    4152 99714.23


Using the #c table, we can generate a report showing the gross margin on sales and cost of goods sold
SELECT sym
,tDate
,qty
,price_extended
,wct.FIFO(qty,price_extended,'GM',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),0) as [Gross Margin]
,wct.FIFO(qty,price_extended,'COGS',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),1) as [COGS]
FROM #c
ORDER BY sym, tDate, trn

This produces the following result.
sym  tDate       qty price_unit price_extended Gross Margin     COGS
---- ---------- ---- ---------- -------------- ------------ --------
ABC  2013-02-23  238      12.78        3041.64          .00      .00
ABC  2013-03-01  157      13.01        2042.57          .00      .00
ABC  2013-03-08 -157      13.17       -2067.69        61.23 -2006.46
ABC  2013-03-10  -63      12.61        -794.43       -10.71  -805.14
ABC  2013-03-10  463      13.38        6194.94          .00      .00
ABC  2013-03-20  -92      13.64       -1254.88        62.10 -1192.78
ABC  2013-04-08  298      12.98        3868.04          .00      .00
ABC  2013-04-30  229      13.32        3050.28          .00      .00
ABC  2013-04-30 -191      13.49       -2576.59        51.72 -2524.87
ABC  2013-05-08  238      12.79        3044.02          .00      .00
ABC  2013-05-18  298      13.23        3942.54          .00      .00
ABC  2013-06-11  130      13.02        1692.60          .00      .00
ABC  2013-06-17  313      12.93        4047.09          .00      .00
ABC  2013-06-21 -326      12.73       -4149.98      -211.90 -4361.88
ABC  2013-06-22 -227      13.47       -3057.69        99.63 -2958.06
ABC  2013-07-22  599      13.65        8176.35          .00      .00
ABC  2013-07-31   79      13.55        1070.45          .00      .00
ABC  2013-09-08 -386      13.65       -5268.90       191.59 -5077.31
ABC  2013-09-08  490      12.69        6218.10          .00      .00
ABC  2013-09-16 -202      12.94       -2613.88        21.06 -2592.82
ABC  2013-10-09  249      13.47        3354.03          .00      .00
ABC  2013-10-09  187      13.36        2498.32          .00      .00
ABC  2013-11-07   27      12.68         342.36          .00      .00
ABC  2013-11-14 -386      12.40       -4786.40      -297.49 -5083.89
ABC  2013-12-31 -145      13.19       -1912.55        35.81 -1876.74
GHI  2013-03-07  559      35.21       19682.39          .00      .00
GHI  2013-04-03 -151      33.16       -5007.16      -309.55 -5316.71
GHI  2013-04-19  416      34.46       14335.36          .00      .00
GHI  2013-05-16  160      34.48        5516.80          .00      .00
GHI  2013-05-21 -174      34.20       -5950.80      -175.74 -6126.54
GHI  2013-07-02 -162      35.48       -5747.76        43.74 -5704.02
GHI  2013-07-16 -347      35.29      -12245.63       234.01 -12011.6
GHI  2013-08-06  445      33.50       14907.50          .00      .00
GHI  2013-08-25  272      33.86        9209.92          .00      .00
GHI  2013-09-08  103      35.42        3648.26          .00      .00
GHI  2013-09-24  328      34.95       11463.60          .00      .00
GHI  2013-09-24 -291      35.69      -10385.79       354.93 -10030.8
GHI  2013-10-02 -295      32.51       -9590.45      -301.85 -9892.30
GHI  2013-10-14  -91      33.12       -3013.92       -34.58 -3048.50
GHI  2013-10-28  -46      34.65       -1593.90        52.90 -1541.00
GHI  2013-11-03 -246      35.61       -8760.06       438.78 -8321.28
GHI  2013-11-16 -320      34.16      -10931.20      -247.80 -11179.0
GHI  2013-11-17  -92      32.65       -3003.80      -211.60 -3215.40
GHI  2013-11-23  187      33.86        6331.82          .00      .00
GHI  2013-12-06   85      33.64        2859.40          .00      .00
GHI  2013-12-16  500      33.55       16775.00          .00      .00
GHI  2013-12-21   72      34.38        2475.36          .00      .00
GHI  2013-12-27  376      33.49       12592.24          .00      .00
GHI  2014-01-02  396      35.52       14065.92          .00      .00
GHI  2014-01-25  -78      35.46       -2765.88        50.68 -2715.20
XYZ  2013-02-20  528      23.54       12429.12          .00      .00
XYZ  2013-02-27  357      22.86        8161.02          .00      .00
XYZ  2013-03-02    9      24.04         216.36          .00      .00
XYZ  2013-03-11 -193      24.90       -4805.70       262.48 -4543.22
XYZ  2013-03-20  -20      23.59        -471.80         1.00  -470.80
XYZ  2013-03-21  275      24.83        6828.25          .00      .00
XYZ  2013-04-13  243      24.25        5892.75          .00      .00
XYZ  2013-04-18  275      24.83        6828.25          .00      .00
XYZ  2013-04-19  277      22.83        6323.91          .00      .00
XYZ  2013-04-28  142      23.13        3284.46          .00      .00
XYZ  2013-05-07   55      23.43        1288.65          .00      .00
XYZ  2013-05-15   97      25.13        2437.61          .00      .00
XYZ  2013-05-16  315      23.57        7424.55          .00      .00
XYZ  2013-05-19  467      23.15       10811.05          .00      .00
XYZ  2013-06-02  114      24.29        2769.06          .00      .00
XYZ  2013-06-15  545      23.88       13014.60          .00      .00
XYZ  2013-06-19  296      23.46        6944.16          .00      .00
XYZ  2013-06-19  413      25.18       10399.34          .00      .00
XYZ  2013-06-19  202      22.95        4635.90          .00      .00
XYZ  2013-06-30 -272      23.45       -6378.40       -24.48 -6402.88
XYZ  2013-07-05 -277      25.01       -6927.77       566.31 -6361.46
XYZ  2013-07-06 -170      23.46       -3988.20        16.52 -3971.68
XYZ  2013-07-22  -88      24.64       -2168.32       -16.72 -2185.04
XYZ  2013-08-13 -163      23.65       -3854.95      -184.22 -4039.17
XYZ  2013-08-31  -61      23.23       -1417.03       -62.22 -1479.25
XYZ  2013-09-06  -13      23.97        -311.61        -3.64  -315.25
XYZ  2013-09-06 -147      23.81       -3500.07       -64.68 -3564.75
XYZ  2013-09-17   92      24.60        2263.20          .00      .00
XYZ  2013-09-24 -248      24.58       -6095.84       -57.36 -6153.20
XYZ  2013-10-11 -250      23.12       -5780.00         2.50 -5777.50
XYZ  2013-10-12  596      23.16       13803.36          .00      .00
XYZ  2013-10-13  359      23.91        8583.69          .00      .00
XYZ  2013-10-19  424      25.13       10655.12          .00      .00
XYZ  2013-10-25 -153      24.31       -3719.43       199.14 -3520.29
XYZ  2013-10-27 -248      24.71       -6128.08       161.54 -5966.54
XYZ  2013-10-30 -350      23.36       -8176.00       -39.90 -8215.90
XYZ  2013-11-03 -326      23.24       -7576.24        29.34 -7546.90
XYZ  2013-11-25 -278      23.18       -6444.04      -196.81 -6640.85
XYZ  2013-12-09  315      24.46        7704.90          .00      .00
XYZ  2013-12-23 -376      25.12       -9445.12       466.24 -8978.88
XYZ  2014-01-02 -196      22.98       -4504.08      -121.80 -4625.88
XYZ  2014-01-04  261      24.46        6384.06          .00      .00
XYZ  2014-01-09 -253      24.46       -6188.38       103.36 -6085.02
XYZ  2014-01-12  332      24.28        8060.96          .00      .00
XYZ  2014-01-26  404      24.23        9788.92          .00      .00
XYZ  2014-01-31  548      23.65       12960.20          .00      .00
XYZ  2014-02-03  459      23.70       10878.30          .00      .00
XYZ  2014-02-04 -208      24.36       -5066.88      -170.56 -5237.44
XYZ  2014-02-05   42      24.39        1024.38          .00      .00


If we had wanted to calculate the cumulative values instead we only need the change the return value (@RV) passed into the function.
SELECT sym
,tDate
,qty
,price_extended
,wct.FIFO(qty,price_extended,'GMC',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),0) as [Gross Margin]
,wct.FIFO(qty,price_extended,'COGSC',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),1) as [COGS]
FROM #c
ORDER BY sym, tDate, trn

This produces the following result.
sym  tDate       qty price_unit price_extended Gross Margin         COGS
---- ---------- ---- ---------- -------------- ------------ ------------
ABC  2013-02-23  238      12.78        3041.64          .00          .00
ABC  2013-03-01  157      13.01        2042.57          .00          .00
ABC  2013-03-08 -157      13.17       -2067.69        61.23     -2006.46
ABC  2013-03-10  -63      12.61        -794.43        50.52     -2811.60
ABC  2013-03-10  463      13.38        6194.94        50.52     -2811.60
ABC  2013-03-20  -92      13.64       -1254.88       112.62     -4004.38
ABC  2013-04-08  298      12.98        3868.04       112.62     -4004.38
ABC  2013-04-30  229      13.32        3050.28       112.62     -4004.38
ABC  2013-04-30 -191      13.49       -2576.59       164.34     -6529.25
ABC  2013-05-08  238      12.79        3044.02       164.34     -6529.25
ABC  2013-05-18  298      13.23        3942.54       164.34     -6529.25
ABC  2013-06-11  130      13.02        1692.60       164.34     -6529.25
ABC  2013-06-17  313      12.93        4047.09       164.34     -6529.25
ABC  2013-06-21 -326      12.73       -4149.98       -47.56    -10891.13
ABC  2013-06-22 -227      13.47       -3057.69        52.07    -13849.19
ABC  2013-07-22  599      13.65        8176.35        52.07    -13849.19
ABC  2013-07-31   79      13.55        1070.45        52.07    -13849.19
ABC  2013-09-08 -386      13.65       -5268.90       243.66    -18926.50
ABC  2013-09-08  490      12.69        6218.10       243.66    -18926.50
ABC  2013-09-16 -202      12.94       -2613.88       264.72    -21519.32
ABC  2013-10-09  249      13.47        3354.03       264.72    -21519.32
ABC  2013-10-09  187      13.36        2498.32       264.72    -21519.32
ABC  2013-11-07   27      12.68         342.36       264.72    -21519.32
ABC  2013-11-14 -386      12.40       -4786.40       -32.77    -26603.21
ABC  2013-12-31 -145      13.19       -1912.55         3.04    -28479.95
GHI  2013-03-07  559      35.21       19682.39          .00          .00
GHI  2013-04-03 -151      33.16       -5007.16      -309.55     -5316.71
GHI  2013-04-19  416      34.46       14335.36      -309.55     -5316.71
GHI  2013-05-16  160      34.48        5516.80      -309.55     -5316.71
GHI  2013-05-21 -174      34.20       -5950.80      -485.29    -11443.25
GHI  2013-07-02 -162      35.48       -5747.76      -441.55    -17147.27
GHI  2013-07-16 -347      35.29      -12245.63      -207.54    -29158.89
GHI  2013-08-06  445      33.50       14907.50      -207.54    -29158.89
GHI  2013-08-25  272      33.86        9209.92      -207.54    -29158.89
GHI  2013-09-08  103      35.42        3648.26      -207.54    -29158.89
GHI  2013-09-24  328      34.95       11463.60      -207.54    -29158.89
GHI  2013-09-24 -291      35.69      -10385.79       147.39    -39189.75
GHI  2013-10-02 -295      32.51       -9590.45      -154.46    -49082.05
GHI  2013-10-14  -91      33.12       -3013.92      -189.04    -52130.55
GHI  2013-10-28  -46      34.65       -1593.90      -136.14    -53671.55
GHI  2013-11-03 -246      35.61       -8760.06       302.64    -61992.83
GHI  2013-11-16 -320      34.16      -10931.20        54.84    -73171.83
GHI  2013-11-17  -92      32.65       -3003.80      -156.76    -76387.23
GHI  2013-11-23  187      33.86        6331.82      -156.76    -76387.23
GHI  2013-12-06   85      33.64        2859.40      -156.76    -76387.23
GHI  2013-12-16  500      33.55       16775.00      -156.76    -76387.23
GHI  2013-12-21   72      34.38        2475.36      -156.76    -76387.23
GHI  2013-12-27  376      33.49       12592.24      -156.76    -76387.23
GHI  2014-01-02  396      35.52       14065.92      -156.76    -76387.23
GHI  2014-01-25  -78      35.46       -2765.88      -106.08    -79102.43
XYZ  2013-02-20  528      23.54       12429.12          .00          .00
XYZ  2013-02-27  357      22.86        8161.02          .00          .00
XYZ  2013-03-02    9      24.04         216.36          .00          .00
XYZ  2013-03-11 -193      24.90       -4805.70       262.48     -4543.22
XYZ  2013-03-20  -20      23.59        -471.80       263.48     -5014.02
XYZ  2013-03-21  275      24.83        6828.25       263.48     -5014.02
XYZ  2013-04-13  243      24.25        5892.75       263.48     -5014.02
XYZ  2013-04-18  275      24.83        6828.25       263.48     -5014.02
XYZ  2013-04-19  277      22.83        6323.91       263.48     -5014.02
XYZ  2013-04-28  142      23.13        3284.46       263.48     -5014.02
XYZ  2013-05-07   55      23.43        1288.65       263.48     -5014.02
XYZ  2013-05-15   97      25.13        2437.61       263.48     -5014.02
XYZ  2013-05-16  315      23.57        7424.55       263.48     -5014.02
XYZ  2013-05-19  467      23.15       10811.05       263.48     -5014.02
XYZ  2013-06-02  114      24.29        2769.06       263.48     -5014.02
XYZ  2013-06-15  545      23.88       13014.60       263.48     -5014.02
XYZ  2013-06-19  296      23.46        6944.16       263.48     -5014.02
XYZ  2013-06-19  413      25.18       10399.34       263.48     -5014.02
XYZ  2013-06-19  202      22.95        4635.90       263.48     -5014.02
XYZ  2013-06-30 -272      23.45       -6378.40       239.00    -11416.90
XYZ  2013-07-05 -277      25.01       -6927.77       805.31    -17778.36
XYZ  2013-07-06 -170      23.46       -3988.20       821.83    -21750.04
XYZ  2013-07-22  -88      24.64       -2168.32       805.11    -23935.08
XYZ  2013-08-13 -163      23.65       -3854.95       620.89    -27974.25
XYZ  2013-08-31  -61      23.23       -1417.03       558.67    -29453.50
XYZ  2013-09-06  -13      23.97        -311.61       555.03    -29768.75
XYZ  2013-09-06 -147      23.81       -3500.07       490.35    -33333.50
XYZ  2013-09-17   92      24.60        2263.20       490.35    -33333.50
XYZ  2013-09-24 -248      24.58       -6095.84       432.99    -39486.70
XYZ  2013-10-11 -250      23.12       -5780.00       435.49    -45264.20
XYZ  2013-10-12  596      23.16       13803.36       435.49    -45264.20
XYZ  2013-10-13  359      23.91        8583.69       435.49    -45264.20
XYZ  2013-10-19  424      25.13       10655.12       435.49    -45264.20
XYZ  2013-10-25 -153      24.31       -3719.43       634.63    -48784.49
XYZ  2013-10-27 -248      24.71       -6128.08       796.17    -54751.03
XYZ  2013-10-30 -350      23.36       -8176.00       756.27    -62966.93
XYZ  2013-11-03 -326      23.24       -7576.24       785.61    -70513.83
XYZ  2013-11-25 -278      23.18       -6444.04       588.80    -77154.68
XYZ  2013-12-09  315      24.46        7704.90       588.80    -77154.68
XYZ  2013-12-23 -376      25.12       -9445.12      1055.04    -86133.56
XYZ  2014-01-02 -196      22.98       -4504.08       933.24    -90759.44
XYZ  2014-01-04  261      24.46        6384.06       933.24    -90759.44
XYZ  2014-01-09 -253      24.46       -6188.38      1036.60    -96844.46
XYZ  2014-01-12  332      24.28        8060.96      1036.60    -96844.46
XYZ  2014-01-26  404      24.23        9788.92      1036.60    -96844.46
XYZ  2014-01-31  548      23.65       12960.20      1036.60    -96844.46
XYZ  2014-02-03  459      23.70       10878.30      1036.60    -96844.46
XYZ  2014-02-04 -208      24.36       -5066.88       866.04   -102081.90
XYZ  2014-02-05   42      24.39        1024.38       866.04   -102081.90


In this example, we will look at a simple FX blotter. In FX trading, it is not at all unusual to switch from a long currency position to a short currency position during the course of a day. Additionally, if you are trading something like the US dollars against the Euro, if you are long US dollars, you are short the Euro. Thus, it’s critical to pay attention to the sign. We will create another table, #fx, and populate it with some data.
CREATE TABLE #fx (
      rn                      int,
      ccy                     char(3),
      amt_ccy                 money,
      rate              float,
      ctr                     char(3),
      amt_ctr                 money,
      PRIMARY KEY (rn)
      )
--Populate the table with some data
INSERT INTO #fx VALUES (1,'GBP',8000000,1.619,'USD',-12952000)
INSERT INTO #fx VALUES (2,'GBP',-10000000,1.62,'USD',16200000)
INSERT INTO #fx VALUES (3,'GBP',-4000000,1.613,'USD',6452000)
INSERT INTO #fx VALUES (4,'GBP',7000000,1.618,'USD',-11326000)
INSERT INTO #fx VALUES (5,'GBP',6000000,1.623,'USD',-9738000)
INSERT INTO #fx VALUES (6,'GBP',-5000000,1.618,'USD',8090000)
INSERT INTO #fx VALUES (7,'GBP',-10000000,1.602,'USD',16020000)
INSERT INTO #fx VALUES (8,'GBP',2000000,1.608,'USD',-3216000)
INSERT INTO #fx VALUES (9,'GBP',-2000000,1.602,'USD',3204000)
INSERT INTO #fx VALUES (10,'GBP',10000000,1.626,'USD',-16260000)

In this SQL we will keep track of GBP position, the USD position, and the P/L.
SELECT rn
,ccy
,amt_ccy
,rate
,ctr
,amt_ctr
,wct.FIFO(amt_ccy,-amt_ctr,'QTY',2,ROW_NUMBER() OVER (ORDER BY rn), 0) as [GBP Position]
,wct.FIFO(amt_ccy,-amt_ctr,'EV',2,ROW_NUMBER() OVER (ORDER BY rn), 1) as [USD Position]
,wct.FIFO(amt_ccy,-amt_ctr,'GM',2,ROW_NUMBER() OVER (ORDER BY rn), 2) as [P/L]
FROM #fx

This produces the following result.
rn   ccy       amt_ccy rate ctr       amt_ctr GBP Position USD Position          P/L
---- ---- ------------ ----- ---- ------------ ------------ ------------ ------------
   1 GBP    8000000.00 1.619 USD  -12952000.00   8000000.00  12952000.00          .00
   2 GBP  -10000000.00 1.620 USD   16200000.00  -2000000.00  -3240000.00      8000.00
   3 GBP   -4000000.00 1.613 USD    6452000.00  -6000000.00  -9692000.00          .00
   4 GBP    7000000.00 1.618 USD  -11326000.00   1000000.00   1618000.00    -16000.00
   5 GBP    6000000.00 1.623 USD   -9738000.00   7000000.00  11356000.00          .00
   6 GBP   -5000000.00 1.618 USD    8090000.00   2000000.00   3246000.00    -20000.00
   7 GBP  -10000000.00 1.602 USD   16020000.00  -8000000.00 -12816000.00    -42000.00
   8 GBP    2000000.00 1.608 USD   -3216000.00  -6000000.00  -9612000.00    -12000.00
   9 GBP   -2000000.00 1.602 USD    3204000.00  -8000000.00 -12816000.00          .00
  10 GBP   10000000.00 1.626 USD  -16260000.00   2000000.00   3252000.00   -192000.00
 
 
 


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