Returns a vertical array of the most frequently occurring, or repetitive values in an array or range of data. For horizontal arrays, use TRANSPOSE(MODE.MULT(number1,number2,...)).
This will return more than one result if there are multiple modes. Because this function returns an array of values, it must be entered as an array formula.
Syntax
MODE.MULT((number1,[number2],...)
The MODE.MULT function syntax has the following arguments:

Number1 Required. The first number argument for which you want to calculate the mode.

Number2, ... Optional. Number arguments 2 to 254 for which you want to calculate the mode. You can also use a single array or a reference to an array instead of arguments separated by commas.
Remarks

Arguments can either be numbers or names, arrays, or references that contain numbers.

If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.

Arguments that are error values or text that cannot be translated into numbers cause errors.

If the data set contains no duplicate data points, MODE.MULT returns the #N/A error value.
Example
Copy the example data in the following table, and paste it in cell A1 of a new Excel worksheet. For formulas to show results, select them, press F2, and then press Enter. If you need to, you can adjust the column widths to see all the data.
Data 

1 

2 

3 

4 

3 

2 

1 

2 

3 

5 

6 

1 

Formula 
Description 
Result 
=MODE.MULT(A2:A13) 
The formula =MODE.MULT(A2:A13)must be entered as an array formula. When entered as an array formula, MODE.MULT returns 1, 2, and 3 as the modes because they each appear 3 times. If the formula is not entered as an array formula, the single result is 1. This would be the same result as using the MODE.SNGL function. When I created the array formula, I included several extra cells to make sure that all modes were returned. I built the array formula in the range C15:C22. Where there are no additonal modes, there are #N/A error values. 
1 
2 

3 

#N/A 

#N/A 

#N/A 

#N/A 

#N/A 