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XLeratorDB/windowing Documentation

SQL Server LIFO function


LIFO

Updated: 31 Dec 2013


Use LIFO to calculate running LIFO (last in, first out) values in an ordered resultant table, without the need for a self-join. LIFO calculates balances for each value from the first value to the last value in the ordered group or partition. LIFO 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.
LIFO supports both long and short inventory positions. In other words, if the quantity on hand falls below the zero, LIFO calculates from the last sale or withdrawal transaction, rather than from the last purchases or additions to inventory.
LIFO assumes that the quantity (i.e. the number of units) of the transaction and the monetary value of the transaction have the same sign. LIFO adds NULL values to the inventory at the last price.
LIFO requires monotonically ascending row numbers within a partition; otherwise the function returns an error message
LIFO resets all calculated values when the row number value is 1.
Syntax
ELECT [westclintech].[wct].[LIFO](
  <@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 LIFO 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 FIFO values, use the FIFO 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 LIFO 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 LIFO values
SELECT *
,wct.LIFO(
 qty --@Qty
,price_extended   --@Cost
,'QTY'      --@RV
,2          --@Round
,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn) --@RowNum
,0          --@Id
) as [Quantity on Hand]
,wct.LIFO(
 qty --@Qty
,price_extended--@Cost
,'EV' --@RV
,2          --@Round
,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn) --@RowNum
,1          --@Id
) as [Inventory 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  3041.64
   32130310 ABC 2013-03-10   -63      12.61        -794.43     175  2236.50
   41130310 ABC 2013-03-10   463      13.38        6194.94     638  8431.44
   26130320 ABC 2013-03-20   -92      13.64       -1254.88     546  7200.48
   25130408 ABC 2013-04-08   298      12.98        3868.04     844 11068.52
   48130430 ABC 2013-04-30   229      13.32        3050.28    1073 14118.80
   90130430 ABC 2013-04-30  -191      13.49       -2576.59     882 11574.68
   49130508 ABC 2013-05-08   238      12.79        3044.02    1120 14618.70
   20130518 ABC 2013-05-18   298      13.23        3942.54    1418 18561.24
   89130611 ABC 2013-06-11   130      13.02        1692.60    1548 20253.84
    2130617 ABC 2013-06-17   313      12.93        4047.09    1861 24300.93
   12130621 ABC 2013-06-21  -326      12.73       -4149.98    1535 20084.58
   93130622 ABC 2013-06-22  -227      13.47       -3057.69    1308 17105.94
    7130722 ABC 2013-07-22   599      13.65        8176.35    1907 25282.29
   71130731 ABC 2013-07-31    79      13.55        1070.45    1986 26352.74
   10130908 ABC 2013-09-08  -386      13.65       -5268.90    1600 21091.74
   39130908 ABC 2013-09-08   490      12.69        6218.10    2090 27309.84
   61130916 ABC 2013-09-16  -202      12.94       -2613.88    1888 24746.46
   76131009 ABC 2013-10-09   249      13.47        3354.03    2137 28100.49
   88131009 ABC 2013-10-09   187      13.36        2498.32    2324 30598.81
   16131107 ABC 2013-11-07    27      12.68         342.36    2351 30941.17
   86131114 ABC 2013-11-14  -386      12.40       -4786.40    1965 25783.65
    8131231 ABC 2013-12-31  -145      13.19       -1912.55    1820 23883.54
   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 28218.60
   70130702 GHI 2013-07-02  -162      35.48       -5747.76     648 22636.08
   96130716 GHI 2013-07-16  -347      35.29      -12245.63     301 10598.21
   63130806 GHI 2013-08-06   445      33.50       14907.50     746 25505.71
   77130825 GHI 2013-08-25   272      33.86        9209.92    1018 34715.63
   95130908 GHI 2013-09-08   103      35.42        3648.26    1121 38363.89
    6130924 GHI 2013-09-24   328      34.95       11463.60    1449 49827.49
   17130924 GHI 2013-09-24  -291      35.69      -10385.79    1158 39657.04
   85131002 GHI 2013-10-02  -295      32.51       -9590.45     863 29467.33
   52131014 GHI 2013-10-14   -91      33.12       -3013.92     772 26386.07
   73131028 GHI 2013-10-28   -46      34.65       -1593.90     726 24835.71
   50131103 GHI 2013-11-03  -246      35.61       -8760.06     480 16594.71
   87131116 GHI 2013-11-16  -320      34.16      -10931.20      160 5633.60
   94131117 GHI 2013-11-17   -92      32.65       -3003.80       68 2394.28
   81131123 GHI 2013-11-23   187      33.86        6331.82      255 8726.10
   51131206 GHI 2013-12-06    85      33.64        2859.40     340 11585.50
   75131216 GHI 2013-12-16   500      33.55       16775.00     840 28360.50
   13131221 GHI 2013-12-21    72      34.38        2475.36     912 30835.86
   65131227 GHI 2013-12-27   376      33.49       12592.24    1288 43428.10
   53140102 GHI 2014-01-02   396      35.52       14065.92    1684 57494.02
   18140125 GHI 2014-01-25   -78      35.46       -2765.88    1606 54723.46
   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 16383.90
   59130320 XYZ 2013-03-20   -20      23.59        -471.80     681 15926.70
   35130321 XYZ 2013-03-21   275      24.83        6828.25     956 22754.95
   98130413 XYZ 2013-04-13   243      24.25        5892.75    1199 28647.70
   24130418 XYZ 2013-04-18   275      24.83        6828.25    1474 35475.95
   60130419 XYZ 2013-04-19   277      22.83        6323.91    1751 41799.86
   83130428 XYZ 2013-04-28   142      23.13        3284.46    1893 45084.32
   34130507 XYZ 2013-05-07    55      23.43        1288.65    1948 46372.97
   99130515 XYZ 2013-05-15    97      25.13        2437.61    2045 48810.58
   19130516 XYZ 2013-05-16   315      23.57        7424.55    2360 56235.13
   30130519 XYZ 2013-05-19   467      23.15       10811.05    2827 67046.18
   29130602 XYZ 2013-06-02   114      24.29        2769.06    2941 69815.24
   91130615 XYZ 2013-06-15   545      23.88       13014.60    3486 82829.84
   23130619 XYZ 2013-06-19   296      23.46        6944.16    3782 89774.00
   47130619 XYZ 2013-06-19   413      25.18       10399.34    4195 100173.3
   74130619 XYZ 2013-06-19   202      22.95        4635.90    4397 104809.2
   55130630 XYZ 2013-06-30  -272      23.45       -6378.40    4125 98410.74
   14130705 XYZ 2013-07-05  -277      25.01       -6927.77    3848 91435.88
    5130706 XYZ 2013-07-06  -170      23.46       -3988.20    3678 87334.16
   58130722 XYZ 2013-07-22   -88      24.64       -2168.32    3590 85269.68
   57130813 XYZ 2013-08-13  -163      23.65       -3854.95    3427 81420.92
   54130831 XYZ 2013-08-31   -61      23.23       -1417.03    3366 79964.24
   11130906 XYZ 2013-09-06   -13      23.97        -311.61    3353 79653.80
   27130906 XYZ 2013-09-06  -147      23.81       -3500.07    3206 76143.44
   36130917 XYZ 2013-09-17    92      24.60        2263.20    3298 78406.64
   92130924 XYZ 2013-09-24  -248      24.58       -6095.84    3050 72418.16
   42131011 XYZ 2013-10-11  -250      23.12       -5780.00    2800 66421.13
   22131012 XYZ 2013-10-12   596      23.16       13803.36    3396 80224.49
   40131013 XYZ 2013-10-13   359      23.91        8583.69    3755 88808.18
    1131019 XYZ 2013-10-19   424      25.13       10655.12    4179 99463.30
    9131025 XYZ 2013-10-25  -153      24.31       -3719.43    4026 95618.41
   62131027 XYZ 2013-10-27  -248      24.71       -6128.08    3778 89386.17
   45131030 XYZ 2013-10-30  -350      23.36       -8176.00    3428 80989.61
   21131103 XYZ 2013-11-03  -326      23.24       -7576.24    3102 73415.45
   97131125 XYZ 2013-11-25  -278      23.18       -6444.04    2824 66976.97
   28131209 XYZ 2013-12-09   315      24.46        7704.90    3139 74681.87
   79131223 XYZ 2013-12-23  -376      25.12       -9445.12    2763 65564.58
   33140102 XYZ 2014-01-02  -196      22.98       -4504.08    2567 61027.18
   84140104 XYZ 2014-01-04   261      24.46        6384.06    2828 67411.24
   64140109 XYZ 2014-01-09  -253      24.46       -6188.38    2575 61222.86
   78140112 XYZ 2014-01-12   332      24.28        8060.96    2907 69283.82
   80140126 XYZ 2014-01-26   404      24.23        9788.92    3311 79072.74
   82140131 XYZ 2014-01-31   548      23.65       12960.20    3859 92032.94
   66140203 XYZ 2014-02-03   459      23.70       10878.30    4318 102911.2
   72140204 XYZ 2014-02-04  -208      24.36       -5066.88    4110 97981.64
   31140205 XYZ 2014-02-05    42      24.39        1024.38    4152 99006.02


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.LIFO(qty,price_extended,'GM',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),0) as [Gross Margin]
,wct.LIFO(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        25.12 -2042.57
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        23.92 -1230.96
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        32.47 -2544.12
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       -66.37 -4216.35
ABC  2013-06-22 -227      13.47       -3057.69        79.05 -2978.64
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         7.90 -5261.00
ABC  2013-09-08  490      12.69        6218.10          .00      .00
ABC  2013-09-16 -202      12.94       -2613.88        50.50 -2563.38
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      -371.12 -5157.52
ABC  2013-12-31 -145      13.19       -1912.55        12.44 -1900.11
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       -48.44 -5999.24
GHI  2013-07-02 -162      35.48       -5747.76       165.24 -5582.52
GHI  2013-07-16 -347      35.29      -12245.63       207.76 -12037.8
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       215.34 -10170.4
GHI  2013-10-02 -295      32.51       -9590.45      -599.26 -10189.7
GHI  2013-10-14  -91      33.12       -3013.92       -67.34 -3081.26
GHI  2013-10-28  -46      34.65       -1593.90        43.54 -1550.36
GHI  2013-11-03 -246      35.61       -8760.06       519.06 -8241.00
GHI  2013-11-16 -320      34.16      -10931.20       -29.91 -10961.1
GHI  2013-11-17  -92      32.65       -3003.80      -235.52 -3239.32
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        -4.68 -2770.56
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       383.10 -4422.60
XYZ  2013-03-20  -20      23.59        -471.80        14.60 -457.20
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       -20.10 -6398.50
XYZ  2013-07-05 -277      25.01       -6927.77       -47.09 -6974.86
XYZ  2013-07-06 -170      23.46       -3988.20      -113.52 -4101.72
XYZ  2013-07-22  -88      24.64       -2168.32       103.84 -2064.48
XYZ  2013-08-13 -163      23.65       -3854.95         6.19 -3848.76
XYZ  2013-08-31  -61      23.23       -1417.03       -39.65 -1456.68
XYZ  2013-09-06  -13      23.97        -311.61         1.17 -310.44
XYZ  2013-09-06 -147      23.81       -3500.07       -10.29 -3510.36
XYZ  2013-09-17   92      24.60        2263.20          .00      .00
XYZ  2013-09-24 -248      24.58       -6095.84       107.36 -5988.48
XYZ  2013-10-11 -250      23.12       -5780.00      -217.03 -5997.03
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      -125.46 -3844.89
XYZ  2013-10-27 -248      24.71       -6128.08      -104.16 -6232.24
XYZ  2013-10-30 -350      23.36       -8176.00      -220.56 -8396.56
XYZ  2013-11-03 -326      23.24       -7576.24         2.08 -7574.16
XYZ  2013-11-25 -278      23.18       -6444.04         5.56 -6438.48
XYZ  2013-12-09  315      24.46        7704.90          .00      .00
XYZ  2013-12-23 -376      25.12       -9445.12       327.83 -9117.29
XYZ  2014-01-02 -196      22.98       -4504.08       -33.32 -4537.40
XYZ  2014-01-04  261      24.46        6384.06          .00      .00
XYZ  2014-01-09 -253      24.46       -6188.38          .00 -6188.38
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       137.28 -4929.60
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.LIFO(qty,price_extended,'GMC',2,ROW_NUMBER() OVER (PARTITION BY sym ORDER BY sym, tDate, trn),0) as [Gross Margin]
,wct.LIFO(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        25.12     -2042.57
ABC  2013-03-10  -63      12.61        -794.43        14.41     -2847.71
ABC  2013-03-10  463      13.38        6194.94        14.41     -2847.71
ABC  2013-03-20  -92      13.64       -1254.88        38.33     -4078.67
ABC  2013-04-08  298      12.98        3868.04        38.33     -4078.67
ABC  2013-04-30  229      13.32        3050.28        38.33     -4078.67
ABC  2013-04-30 -191      13.49       -2576.59        70.80     -6622.79
ABC  2013-05-08  238      12.79        3044.02        70.80     -6622.79
ABC  2013-05-18  298      13.23        3942.54        70.80     -6622.79
ABC  2013-06-11  130      13.02        1692.60        70.80     -6622.79
ABC  2013-06-17  313      12.93        4047.09        70.80     -6622.79
ABC  2013-06-21 -326      12.73       -4149.98         4.43    -10839.14
ABC  2013-06-22 -227      13.47       -3057.69        83.48    -13817.78
ABC  2013-07-22  599      13.65        8176.35        83.48    -13817.78
ABC  2013-07-31   79      13.55        1070.45        83.48    -13817.78
ABC  2013-09-08 -386      13.65       -5268.90        91.38    -19078.78
ABC  2013-09-08  490      12.69        6218.10        91.38    -19078.78
ABC  2013-09-16 -202      12.94       -2613.88       141.88    -21642.16
ABC  2013-10-09  249      13.47        3354.03       141.88    -21642.16
ABC  2013-10-09  187      13.36        2498.32       141.88    -21642.16
ABC  2013-11-07   27      12.68         342.36       141.88    -21642.16
ABC  2013-11-14 -386      12.40       -4786.40      -229.24    -26799.68
ABC  2013-12-31 -145      13.19       -1912.55      -216.80    -28699.79
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      -357.99    -11315.95
GHI  2013-07-02 -162      35.48       -5747.76      -192.75    -16898.47
GHI  2013-07-16 -347      35.29      -12245.63        15.01    -28936.34
GHI  2013-08-06  445      33.50       14907.50        15.01    -28936.34
GHI  2013-08-25  272      33.86        9209.92        15.01    -28936.34
GHI  2013-09-08  103      35.42        3648.26        15.01    -28936.34
GHI  2013-09-24  328      34.95       11463.60        15.01    -28936.34
GHI  2013-09-24 -291      35.69      -10385.79       230.35    -39106.79
GHI  2013-10-02 -295      32.51       -9590.45      -368.91    -49296.50
GHI  2013-10-14  -91      33.12       -3013.92      -436.25    -52377.76
GHI  2013-10-28  -46      34.65       -1593.90      -392.71    -53928.12
GHI  2013-11-03 -246      35.61       -8760.06       126.35    -62169.12
GHI  2013-11-16 -320      34.16      -10931.20        96.44    -73130.23
GHI  2013-11-17  -92      32.65       -3003.80      -139.08    -76369.55
GHI  2013-11-23  187      33.86        6331.82      -139.08    -76369.55
GHI  2013-12-06   85      33.64        2859.40      -139.08    -76369.55
GHI  2013-12-16  500      33.55       16775.00      -139.08    -76369.55
GHI  2013-12-21   72      34.38        2475.36      -139.08    -76369.55
GHI  2013-12-27  376      33.49       12592.24      -139.08    -76369.55
GHI  2014-01-02  396      35.52       14065.92      -139.08    -76369.55
GHI  2014-01-25  -78      35.46       -2765.88      -143.76    -79140.11
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       383.10     -4422.60
XYZ  2013-03-20  -20      23.59        -471.80       397.70     -4879.80
XYZ  2013-03-21  275      24.83        6828.25       397.70     -4879.80
XYZ  2013-04-13  243      24.25        5892.75       397.70     -4879.80
XYZ  2013-04-18  275      24.83        6828.25       397.70     -4879.80
XYZ  2013-04-19  277      22.83        6323.91       397.70     -4879.80
XYZ  2013-04-28  142      23.13        3284.46       397.70     -4879.80
XYZ  2013-05-07   55      23.43        1288.65       397.70     -4879.80
XYZ  2013-05-15   97      25.13        2437.61       397.70     -4879.80
XYZ  2013-05-16  315      23.57        7424.55       397.70     -4879.80
XYZ  2013-05-19  467      23.15       10811.05       397.70     -4879.80
XYZ  2013-06-02  114      24.29        2769.06       397.70     -4879.80
XYZ  2013-06-15  545      23.88       13014.60       397.70     -4879.80
XYZ  2013-06-19  296      23.46        6944.16       397.70     -4879.80
XYZ  2013-06-19  413      25.18       10399.34       397.70     -4879.80
XYZ  2013-06-19  202      22.95        4635.90       397.70     -4879.80
XYZ  2013-06-30 -272      23.45       -6378.40       377.60    -11278.30
XYZ  2013-07-05 -277      25.01       -6927.77       330.51    -18253.16
XYZ  2013-07-06 -170      23.46       -3988.20       216.99    -22354.88
XYZ  2013-07-22  -88      24.64       -2168.32       320.83    -24419.36
XYZ  2013-08-13 -163      23.65       -3854.95       327.02    -28268.12
XYZ  2013-08-31  -61      23.23       -1417.03       287.37    -29724.80
XYZ  2013-09-06  -13      23.97        -311.61       288.54    -30035.24
XYZ  2013-09-06 -147      23.81       -3500.07       278.25    -33545.60
XYZ  2013-09-17   92      24.60        2263.20       278.25    -33545.60
XYZ  2013-09-24 -248      24.58       -6095.84       385.61    -39534.08
XYZ  2013-10-11 -250      23.12       -5780.00       168.58    -45531.11
XYZ  2013-10-12  596      23.16       13803.36       168.58    -45531.11
XYZ  2013-10-13  359      23.91        8583.69       168.58    -45531.11
XYZ  2013-10-19  424      25.13       10655.12       168.58    -45531.11
XYZ  2013-10-25 -153      24.31       -3719.43        43.12    -49376.00
XYZ  2013-10-27 -248      24.71       -6128.08       -61.04    -55608.24
XYZ  2013-10-30 -350      23.36       -8176.00      -281.60    -64004.80
XYZ  2013-11-03 -326      23.24       -7576.24      -279.52    -71578.96
XYZ  2013-11-25 -278      23.18       -6444.04      -273.96    -78017.44
XYZ  2013-12-09  315      24.46        7704.90      -273.96    -78017.44
XYZ  2013-12-23 -376      25.12       -9445.12        53.87    -87134.73
XYZ  2014-01-02 -196      22.98       -4504.08        20.55    -91672.13
XYZ  2014-01-04  261      24.46        6384.06        20.55    -91672.13
XYZ  2014-01-09 -253      24.46       -6188.38        20.55    -97860.51
XYZ  2014-01-12  332      24.28        8060.96        20.55    -97860.51
XYZ  2014-01-26  404      24.23        9788.92        20.55    -97860.51
XYZ  2014-01-31  548      23.65       12960.20        20.55    -97860.51
XYZ  2014-02-03  459      23.70       10878.30        20.55    -97860.51
XYZ  2014-02-04 -208      24.36       -5066.88       157.83   -102790.11
XYZ  2014-02-05   42      24.39        1024.38       157.83   -102790.11


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.LIFO(amt_ccy,-amt_ctr,'QTY',2,ROW_NUMBER() OVER (ORDER BY rn), 0) as [GBP Position]
,wct.LIFO(amt_ccy,-amt_ctr,'EV',2,ROW_NUMBER() OVER (ORDER BY rn), 1) as [USD Position]
,wct.LIFO(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   3241000.00    -25000.00
   7 GBP  -10000000.00 1.602 USD   16020000.00  -8000000.00 -12816000.00    -37000.00
   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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