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Well, i don't see any difference with and Without () .. but you think removing () will solve your problem use replace<br />
<br />
SELECT CONVERT (MONEY,REPLACE(REPLACE(Sal<wbr />es,'(','')<wbr />,'(',''))
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Well, i don't see any difference with and Without () .. but you think removing () will solve your problem use replace

SELECT CONVERT (MONEY,REPLACE(REPLACE(Sales,'(',''),'(',''))

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select convert(money, ABS(sales))<br />
<br />
probably the value ($6.53) is shown here should be a negative number and try using ABS function to negate it 
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select convert(money, ABS(sales))

probably the value ($6.53) is shown here should be a negative number and try using ABS function to negate it

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I have a value of ($6.53) that I need to convert to money. &nbsp;The () is messing up the following syntax so I need to know how to work around it.<br />
<br />
convert(money, sales)<br />
<br />
Any help here?
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I have a value of ($6.53) that I need to convert to money.  The () is messing up the following syntax so I need to know how to work around it.

convert(money, sales)

Any help here?

Convert to money SQL

Microsoft SQL Server 2005 is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning. It includes support for managing XML data and allows a database server to be exposed over web services using Tabular Data Stream (TDS) packets encapsulated within SOAP (protocol) requests.

Microsoft SQL Server 2005

Microsoft SQL Server 2008 is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning. Major improvements include the  Always On technologies and support for unstructured data types.

Microsoft SQL Server 2008

SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.