Sequence# vs. Total# vs. Import# in Custom import template

Question

Does anyone know the difference between these in the custom import naming template?

Answer 1

Try this:
Sales:=
SUM( 'PTV FLAT HITLIST'[SALES THS#EUR] )
PY Sales:=
CALCULATE(
[Sales]
, FILTER( ALL( PERIOD[FISCAL YEAR] )
, PERIOD[FISCAL YEAR] = MAX( PERIOD[FISCAL YEAR] ) - 1
Sales vs PY Sales:=
[Sales] / [PY Sales]
This will work if you put PERIOD[MONTH NUMBER] on the rows under PERIOD[FISCAL YEAR].
If you must keep PERIOD[DATE] on the rows, then you'll need to handle this a little differently. PERIOD[DATE]  uniquely identifies a month. This means that with the measures I have suggested above, the filter context will not be cleared from PERIOD[DATE]
and so the filter context of CALCULATE() will be an impossible condition:
On Row Label 2014-03, the filter context will be PERIOD[DATE] = 2014-03 && PERIOD[FISCAL YEAR] = 2013.
If you must keep PERIOD[DATE] as your rowfilter, try this:
Sales:=
SUM( 'PTV FLAT HITLIST'[SALES THS#EUR] )
PY Yr Sales:=
CALCULATE( [Sales]
, FILTER( ALL( PERIOD[FISCAL YEAR] )
, PERIOD[FISCAL YEAR] = MAX( PERIOD[FISCAL YEAR] ) - 1
PY Mo Sales:=
CALCULATE( [Sales]
, FILTER( ALL( PERIOD )
, PERIOD[FISCAL YEAR] = MAX( PERIOD[FISCAL YEAR] ) - 1
&& PERIOD[MONTH NUMBER] = MAX( PERIOD[MONTH NUMBER] )
PY Sales:=
IF( ISFILTERED( PERIOD[DATE] )
, [PY Mo Sales]
, [PY Yr Sales]
Sales vs PY Sales:=
[Sales] / [PY Sales]