Other Receivable (Historical) Formula in Excel
Understanding Other Receivable (Historical)
Other Receivable (Historical) gives you quick access to residual trade or non-trade receivables for a particular historical period. With MarketXLS, you can effortlessly integrate this data directly into Excel to:
- Analyze a company’s unpaid receivables over different time frames
- Compare historical receivables across multiple quarters or years
- Make informed decisions by evaluating the company’s receivable trends over TTM (Trailing Twelve Months)
? Pro Tip: Understanding unpaid receivables can provide insight into short-term liquidity and operational efficiency.
Syntax and Parameters
Use the hf_Other_Receivable
formula in your Excel worksheet as shown below:
=hf_Other_Receivable(Symbol, year, [quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol | Ticker symbol or identifier of the security. Supports equities, indices, options, and crypto. | Yes | "MSFT" , "^SPX" , "@MSFT 110122C00020000" , "BTCUSD:DEFAULT" |
year | Year (or a keyword like lq , ly , or lt ). |
Yes | "2022" , "lq" , "ly-1" |
quarter | Calendar quarter (1 , 2 , 3 , 4 ) or empty for defaults. |
No | 2 |
TTM | Trailing Twelve Months indicator; set to "TTM" to retrieve TTM data. |
No | "TTM" |
?? Note: If the function encounters invalid inputs (e.g., invalid symbol or license limitations), it returns
"NA"
.
Return Value
• Returns a numeric value representing the historical other receivables if data is available.
• Returns "NA"
(string) if the data cannot be fetched or the symbol is invalid.
Error Handling
• The function traps runtime and licensing errors.
• If you are not subscribed to the required data package, "NA"
is returned.
Special Cases and Limitations
- For rolling or relative periods (e.g.,
"lq-1"
,"ly-2"
,"lt"
) the function automatically calculates the appropriate year or quarter based on the last reported data. - Performance may vary slightly due to API calls retrieving real-time fundamental data.
Examples and Usage
Below are several ways to retrieve historical other receivables in Excel:
-
By specifying a symbol and year only:
=hf_Other_Receivable("MSFT", "2022")
Retrieves other receivables for Microsoft for the year 2022.
-
Including a specific quarter:
=hf_Other_Receivable("MSFT", "2022", 2)
Returns the second quarter’s other receivables for the year 2022.
-
Using TTM for trailing twelve months:
=hf_Other_Receivable("MSFT", "2022", 3, "TTM")
Retrieves trailing-twelve-month figures from the third quarter of 2022.
-
Working with relative indicators:
- Last Quarter (lq):
=hf_Other_Receivable("MSFT", "lq")
- Last Year (ly):
=hf_Other_Receivable("MSFT", "ly")
- Last 12 months (lt):
=hf_Other_Receivable("MSFT", "lt")
- Last Quarter (lq):
? Pro Tip: Combine this function with formulas like
SUM
orAVERAGE
to quickly aggregate other receivable values across multiple symbols.
Common Questions
-
What if I pass an invalid symbol or no symbol at all?
You will receive"NA"
. Always ensure you provide a valid ticker, index, or custom MarketXLS identifier. -
How do I reference a cell for the symbol or year?
You can replace the parameter—the “MSFT” or “2022”—with a cell reference, for example:=hf_Other_Receivable(A1, B1)
-
Can I analyze data for different date formats (though this formula focuses on year/quarter)?
While this function typically accepts a year or relative labels (e.g., “lq”, “ly”), you can place your date or year string in a cell. For instance:=hf_Other_Receivable("MSFT", TEXT(A1,"yyyy"))
However, this is more relevant for functions that expect a direct date input.
-
Is there any limitation on how far back it looks?
Historical ranges depend on the availability of fundamental data for the symbol. If older data isn’t available, the function returns"NA"
. -
Are there related formulas I can use to get more context on a company’s financials?
Revenue (Historical)
Cost Of Revenue (Historical)
Gross Profit (Historical)
R & D Expenses (Historical)
Selling General and Administrative Expense (Historical)
?? Note: These related functions help build a more complete financial picture alongside “Other Receivable (Historical).”