Sum Multiple Columns Based on Multiple Criteria

aread

New Member
Joined
Dec 27, 2019
Messages
37
Office Version
  1. 365
Platform
  1. Windows
I am trying to consolidate data by summing columns G through M based on material, plant, vendor, and fiscal year being identical. The period does not matter. When summing columns G & I, the cell value is only the number even though it also shows the unit of measure when copied and pasted. I have removed our multiple vendors' names from column D due to confidentiality. I am hoping that someone will be able to assist because I keep hitting a brick wall. Thank you in advance.


MaterialPlantVendorVendor NameFiscal year/periodFiscal yearPO quantityOrder valueActual GR quantityGR valueInvoiced quantityInvoiced amountVar Inv Val vs PO valueUnit Price (Inv)
3000000122301005462JAN2017510,609 LB$ 146,527.87466,281 LB$ 133,598.54466,281 LB$ 134,712.33$ -11,815.54$ 0.29 / LB
3000000122301005462JUL201770,408 LB$ 21,524.7470,408 LB$ 21,524.7470,408 LB$ 21,798.97$ 274.23$ 0.31 / LB
3000000122301005462OCT2017192,092 LB$ 60,966.21141,904 LB$ 45,037.62141,904 LB$ 41,016.16$ -19,950.05$ 0.29 / LB
3000000122301005462DEC201771,966 LB$ 21,829.5771,966 LB$ 22,840.6971,966 LB$ 20,457.16$ -1,372.41$ 0.28 / LB
3000000122301005462FEB2018652,437 LB$ 208,916.42651,379 LB$ 205,397.84651,379 LB$ 216,981.38$ 8,064.96$ 0.33 / LB
3000000122301005462NOV2018132,000 LB$ 43,003.6269,339 LB$ 22,589.6769,339 LB$ 23,734.77$ -19,268.85$ 0.34 / LB
3000000122301005462JAN2019850,000 LB$ 266,149.75561,657 LB$ 180,367.64561,657 LB$ 169,588.80$ -96,560.95$ 0.30 / LB
3000000322301005462JAN20172,226,648 LB$ 581,034.262,226,648 LB$ 581,034.262,226,648 LB$ 591,520.58$ 10,486.32$ 0.27 / LB
3000000322301005462AUG20171,354,793 LB$ 387,965.431,302,618 LB$ 373,024.211,302,618 LB$ 355,510.42$ -32,455.01$ 0.27 / LB
3000000322301005462NOV2017504,907 LB$ 150,477.46504,907 LB$ 150,477.46504,907 LB$ 132,783.95$ -17,693.51$ 0.26 / LB
3000000322301005462FEB20181,994,822 LB$ 578,724.531,994,822 LB$ 558,457.981,994,822 LB$ 586,726.22$ 8,001.69$ 0.29 / LB
3000000322301005462OCT20181,138,598 LB$ 363,406.321,097,019 LB$ 350,135.541,097,019 LB$ 343,453.86$ -19,952.46$ 0.31 / LB
3000000322301005462JAN20191,973,753 LB$ 583,905.211,973,753 LB$ 583,905.211,973,753 LB$ 561,916.93$ -21,988.28$ 0.28 / LB
3000000322301005462APR2019388,151 LB$ 103,830.39388,151 LB$ 103,830.39388,151 LB$ 104,320.95$ 490.56$ 0.27 / LB
3000000322301005462NOV2019666,426 LB$ 144,947.66583,974 LB$ 127,014.34583,974 LB$ 127,014.24$ -17,933.42$ 0.22 / LB
3000000322301005462DEC20192,828,000 LB$ 615,090.00505,784 LB$ 110,008.03505,784 LB$ 104,473.99$ -510,616.01$ 0.21 / LB
3000000522301000562DEC2017148,490 LB$ 39,958.6684,000 LB$ 22,604.4084,000 LB$ 22,874.00$ -17,084.66$ 0.27 / LB
3000000522301005074NOV201842,000 LB$ 11,302.2042,000 LB$ 11,302.2042,000 LB$ 11,809.00$ 506.80$ 0.28 / LB
3000000522301005074APR2019106,490 LB$ 29,465.7884,000 LB$ 23,242.8084,000 LB$ 23,618.00$ -5,847.78$ 0.28 / LB
3000000522301005074DEC2019148,490 LB$ 42,572.080 LB$ 0.000 LB$ 0.00$ -42,572.08X
3000000622301004428AUG201730,240 LB$ 14,515.2015,000 LB$ 7,200.0015,000 LB$ 7,200.00$ -7,315.20$ 0.48 / LB
3000000622301004428NOV201751,260 LB$ 24,604.8045,000 LB$ 21,600.0045,000 LB$ 22,600.00$ -2,004.80$ 0.50 / LB
3000000622301004428NOV201860,000 LB$ 30,600.0060,000 LB$ 30,600.0060,000 LB$ 31,552.50$ 952.50$ 0.53 / LB
 

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