Preface
The Transformation Language
Constants
Operators
Variables
- Built-in Variables
  - SYSDATE
    - Example
- Local Variables
Dates
Functions
- Function Categories
  - Aggregate Functions
  - Aggregate Functions and Nulls
    - Filter Conditions
  - Character Functions
  - Complex Functions
  - Conversion Functions
  - Data Cleansing Functions
  - Date Functions
  - Encoding Functions
  - Financial Functions
  - Numeric Functions
  - Scientific Functions
  - Special Functions
  - String Functions
  - Test Functions
  - Window Functions
- ABORT
- ABS
- ADD_TO_DATE
- AES_DECRYPT
- AES_ENCRYPT
- ANY
- ARRAY
- ASCII
- AVG
- CAST
- CEIL
- CHOOSE
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- CHRCODE
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- CONCAT_ARRAY
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- COS
- COSH
- COUNT
- CRC32
- CREATE_TIMESTAMP_TZ
- CUME
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- DATE_DIFF
- DEC_BASE64
- DECODE
- DECOMPRESS
- ENC_BASE64
- ERROR
- EXP
- EXTRACT_STRUCT
- FIRST
- FLOOR
- FV
- GET_DATE_PART
- GET_TIMEZONE
- GET_TIMESTAMP
- GREATEST
- IIF
- IN
- INDEXOF
- INITCAP
- INSTR
- ISNULL
- IS_DATE
- IS_NUMBER
- IS_SPACES
- LAG
- LAST
- LAST_DAY
- LEAD
- LEAST
- LENGTH
- LN
- LOG
- LOWER
- LPAD
- LTRIM
- MAKE_DATE_TIME
- MAP
- MAP_FROM_ARRAYS
- MAP_KEYS
- MAP_VALUES
- MAX (Dates)
- MAX (Numbers)
- MAX (String)
- MD5
- MEDIAN
- METAPHONE
- MIN (Dates)
- MIN (Numbers)
- MIN (String)
- MOD
- MOVINGAVG
- MOVINGSUM
- NPER
- PARSE_JSON
- PARSE_XML
- PERCENTILE
- PMT
- POWER
- PV
- RAND
- RATE
- REG_EXTRACT
- REG_MATCH
- REG_REPLACE
- REPLACECHR
- REPLACESTR
- RESPEC
- REVERSE
- ROUND (Dates)
- ROUND (Numbers)
- RPAD
- RTRIM
- SET_DATE_PART
- SIGN
- SIN
- SINH
- SIZE
- SOUNDEX
- SQL_LIKE
- SQRT
- STDDEV
- STRUCT
- STRUCT_AS
- SUBSTR
- SUM
- SYSTIMESTAMP
- TAN
- TANH
- TIME_RANGE
- TO_BIGINT
- TO_CHAR (Dates)
- TO_CHAR (Numbers)
- TO_DATE
- TO_DECIMAL
- TO_DECIMAL38
- TO_FLOAT
- TO_INTEGER
- TO_TIMESTAMP_TZ
- TRUNC (Dates)
- TRUNC (Numbers)
- UPPER
- UUID4
- UUID_UNPARSE
- VARIANCE

Transformation Language Reference

10.5.9
- 10.5.8
- 10.5.7
- 10.5.6
- 10.5.4
- 10.5.1
- 10.5
- 10.4.0

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FV

Returns the future value of an investment, where you make periodic, constant payments and the investment earns a constant interest rate.

Syntax

FV( rate, terms, payment [, present value, type] )

The following table describes the arguments for this command:

Argument	Required/ Optional	Description
rate	Required	Numeric. Interest rate earned in each period. Expressed as a decimal number. Divide the percent rate by 100 to express it as a decimal number.
terms	Required	Numeric. Number of periods or payments. Must be greater than 0. The Spark engine writes null values for rows when the terms argument passes a 0 value. In the native environment, the Data Integration Service rejects the row and does not write it to the target.
payment	Required	Numeric. Payment amount due per period. Must be a negative number
present value	Optional	Numeric. Current value of the investment. If you omit this argument, FV uses 0.
type	Optional	Integer. Timing of the payment. Enter 1 if payment is at the beginning of period. Enter 0 if payment is at the end of period. Default is 0. If you enter a value other than 0 or 1, the Data Integration Service treats the value as 1.

Return Value

Numeric.

Example

You deposit $2,000 into an account that earns 9% annual interest compounded monthly (monthly interest of 9%/12, or 0.75%). You plan to deposit $250 at the beginning of every month for the next 12 months. The following expression returns $5,337.96 as the account balance at the end of 12 months:

FV(0.0075, 12, -250, -2000, TRUE)

Notes

To calculate interest rate earned in each period, divide the annual rate by the number of payments made in a year. The payment value and present value are negative because these are amounts that you pay.

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Table of Contents

Transformation Language Reference

Transformation Language Reference

FV

FV

Syntax

Return Value

Example

Notes