Receivable Turnover (Historical) Formula in Excel
Understanding Receivable Turnover (Historical)
The Receivable Turnover (Historical) formula in Excel helps you measure how effectively a company collects its outstanding credit accounts (accounts receivable). By using this function, you can:
- Track how quickly receivables are being converted into cash.
- Compare different time periods (e.g., quarterly, annually, or TTM).
- Aid in liquidity analysis and cash flow forecasting.
? Pro Tip: A higher receivable turnover indicates that a company collects receivables more frequently within a given period.
Syntax and Parameters
Use the following syntax to employ this function in Excel with MarketXLS:
=hf_Receivable_Turnover(Symbol, Year, [Quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol |
The stock or asset symbol (e.g., "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT"). | Yes | "MSFT" |
Year |
The reporting financial year, or special placeholders like "ly" (last year), "lq" (last quarter), etc. | Yes | 2023 , "ly" , "lq-1" |
Quarter |
The fiscal quarter (1 to 4). If omitted, defaults to 1. | No | 2 , 3 , "Q3" |
TTM |
Set to "TTM" for trailing twelve months data. If omitted, defaults to an empty string. |
No | "TTM" |
?? Note: If the symbol is invalid or data is not available, the formula returns "NA".
Return Value
• Returns a numeric value (double) representing the receivable turnover for the specified period.
• If an error occurs or data is unavailable, the function returns "NA"
.
Examples and Usage
Below are some practical ways to reference dates and symbols:
-
Cell Reference for Date:
=hf_Receivable_Turnover(A1)
(Where cell A1 contains the year, e.g., 2023)
-
Direct Date Entry:
=hf_Receivable_Turnover("2024-03-15")
-
Excel Date Functions:
=hf_Receivable_Turnover(TEXT(A1,"yyyy-mm-dd"))
(Where A1 contains an Excel date)
-
Symbol Entry Examples:
- Common stock:
=hf_Receivable_Turnover("MSFT", 2022)
- Index:
=hf_Receivable_Turnover("^SPX", "lq")
- Option:
=hf_Receivable_Turnover("@MSFT 110122C00020000", "ly-1")
- Cryptocurrency:
=hf_Receivable_Turnover("BTCUSD:DEFAULT", "lt")
- Common stock:
Basic Examples
• Year-only example:
=hf_Receivable_Turnover("MSFT", 2022)
Returns the full-year 2022 receivable turnover value for Microsoft.
• Quarter-specific example:
=hf_Receivable_Turnover("MSFT", 2022, 2)
Returns the Q2 2022 receivable turnover value for Microsoft.
• TTM example:
=hf_Receivable_Turnover("MSFT", 2022, 3, "TTM")
Returns the trailing twelve months value from Q3 2022.
Advanced Scenarios
• Last quarter example:
=hf_Receivable_Turnover("MSFT", "lq")
Retrieves the most recent quarter’s value dynamically.
• Previous last quarter:
=hf_Receivable_Turnover("MSFT", "lq-1")
Looks up the turnover for one quarter before the last quarter.
• Last 12 months:
=hf_Receivable_Turnover("MSFT", "lt")
? Pro Tip: Combine the function with other metrics (e.g., historical revenue) to gain deeper insights into the company’s liquidity.
Common Questions
-
Why am I getting "NA"?
- You might be using an invalid symbol, or the data for that period is not available. Ensure you entered the correct symbol and that the data source supports it.
-
Does it handle special date formats?
- Yes, you can use cell references, direct date strings, or Excel’s date functions. MarketXLS handles the date parsing internally.
-
How often does the data update?
- MarketXLS updates fundamental data regularly. However, availability may vary based on filing times and data provider schedules.
-
Can I use this formula for non-U.S. equities?
- Yes, as long as MarketXLS supports the symbol or exchange, the formula will attempt to retrieve valid data.
-
How does this impact performance?
- The function retrieves data through MarketXLS’s API. In most cases, it performs quickly. Large batch requests or repeated calculations can increase computation time.
?? Note: For additional historical metrics, explore other functions from MarketXLS, such as Revenue (Historical), Cost Of Revenue (Historical), and Gross Profit (Historical), to complement your receivable turnover analysis.