| A | B | J | K | L | M | N | O | P | Q | R | BF | BG | BH | BI | BJ |
---|
Ohio | | | | | | | | | | | | | | | | |
Akron | | | | | | | | | | | | | | | | |
Monthly P&L | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Total Revenues | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Total Cost of Sales | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Gross Profit (pre COS alloc) | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Total SG&A | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Direct Interest Allocation | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Pre Tax Income | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
Grand Total PTI | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
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[TD="align: center"]3[/TD]
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[TD="align: center"]4[/TD]
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[TD="bgcolor: #FFFF00, align: right"] 4 [/TD]
[TD="bgcolor: #FFFF00, align: right"] 16 [/TD]
[TD="bgcolor: #FFFF00, align: right"] 28 [/TD]
[TD="bgcolor: #FFFF00, align: right"] 40 [/TD]
[TD="align: center"]5[/TD]
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[TD="align: center"]Totals[/TD]
[TD="align: right"]Jan-13[/TD]
[TD="align: right"]Feb-13[/TD]
[TD="align: right"]Mar-13[/TD]
[TD="align: right"]Apr-13[/TD]
[TD="align: right"]May-13[/TD]
[TD="align: right"]Jun-13[/TD]
[TD="align: right"]Jul-13[/TD]
[TD="align: right"]Aug-13[/TD]
[TD="align: right"]Sep-13[/TD]
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[TD="bgcolor: #FFFF00, align: right"]Sep-12[/TD]
[TD="bgcolor: #FFFF00, align: right"]Sep-13[/TD]
[TD="bgcolor: #FFFF00, align: right"]Sep-14[/TD]
[TD="bgcolor: #FFFF00, align: right"]Sep-15[/TD]
[TD="align: center"]6[/TD]
[TD="align: right"] 51,855,882 [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
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[TD="align: right"] 428,561 [/TD]
[TD="align: right"] 1,714,244 [/TD]
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[TD="align: center"]7[/TD]
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[TD="align: center"]8[/TD]
[TD="align: right"]38,864,283[/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
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[TD="align: right"] 321,192 [/TD]
[TD="align: right"] 1,284,770 [/TD]
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[TD="align: center"]9[/TD]
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[TD="align: center"]10[/TD]
[TD="align: right"] 12,991,599 [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] - [/TD]
[TD="align: right"] 107,369 [/TD]
[TD="align: right"] 429,474 [/TD]
[TD="align: right"][/TD]
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[TD="align: center"]11[/TD]
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[TD="align: center"]12[/TD]
[TD="align: right"] 5,517,531 [/TD]
[TD="align: right"] 7,892 [/TD]
[TD="align: right"] 16,620 [/TD]
[TD="align: right"] 18,541 [/TD]
[TD="align: right"] 143,653 [/TD]
[TD="align: right"] 146,633 [/TD]
[TD="align: right"] 150,111 [/TD]
[TD="align: right"] 152,929 [/TD]
[TD="align: right"] 154,698 [/TD]
[TD="align: right"] 155,066 [/TD]
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[TD="align: center"]13[/TD]
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[TD="align: center"]14[/TD]
[TD="align: right"] 177,717 [/TD]
[TD="align: right"] 1,649 [/TD]
[TD="align: right"] 3,473 [/TD]
[TD="align: right"] 3,874 [/TD]
[TD="align: right"] 4,354 [/TD]
[TD="align: right"] 4,977 [/TD]
[TD="align: right"] 5,703 [/TD]
[TD="align: right"] 6,292 [/TD]
[TD="align: right"] 6,662 [/TD]
[TD="align: right"] 6,739 [/TD]
[TD="align: right"][/TD]
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[TD="align: center"]15[/TD]
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[TD="align: center"]16[/TD]
[TD="align: right"] 4,703,558 [/TD]
[TD="align: right"] (9,541)[/TD]
[TD="align: right"] (20,093)[/TD]
[TD="align: right"] (22,415)[/TD]
[TD="align: right"] (148,007)[/TD]
[TD="align: right"] (151,609)[/TD]
[TD="align: right"] (155,815)[/TD]
[TD="align: right"] (159,221)[/TD]
[TD="align: right"] (75,420)[/TD]
[TD="align: right"] 181,957 [/TD]
[TD="align: right"][/TD]
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[TD="align: center"]17[/TD]
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[TD="align: center"]18[/TD]
[TD="align: right"] 4,703,558 [/TD]
[TD="align: right"] (9,541)[/TD]
[TD="align: right"] (20,093)[/TD]
[TD="align: right"] (22,415)[/TD]
[TD="align: right"] (148,007)[/TD]
[TD="align: right"] (151,609)[/TD]
[TD="align: right"] (155,815)[/TD]
[TD="align: right"] (159,221)[/TD]
[TD="align: right"] (75,420)[/TD]
[TD="align: right"] 181,957 [/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
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[TD="align: center"]19[/TD]
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[TD="align: center"]20[/TD]
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[TD="align: right"] 12 [/TD]
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If entered correctly, Excel will surround with curly braces {}.
Hope this makes sense. I'm using the formula in R21 to determine if the month in each column is September (the end of the fiscal year). The formulas in BG4 through BJ5 set the headers for the new data table i want to create. In this example, since the first FY is in column 4 and the second FY is in column 16, I am looking for an efficient formula to add all numbers for each row between columns 5 and 16 for column BG, 17 and 28 for column BH etc.