Cash And Equivalents (Historical) Formula in Excel
Cash and cash equivalents are highly liquid assets that appear on a company's balance sheet. With MarketXLS, you can retrieve and work with this important historical fundamental data directly in Excel. In this guide, you’ll learn how to use the Cash And Equivalents (Historical) formula to streamline your analysis and gain key insights into a company’s liquidity.
Understanding Cash And Equivalents (Historical)
- Cash and cash equivalents represent assets that can be quickly converted into cash.
- It helps you gauge a company’s short-term financial health.
- Use this formula to compare year-over-year liquidity trends or to analyze short-term risk.
? Pro Tip: Tracking cash equivalents over multiple time periods can help you identify patterns in cash usage or accumulation, which can be useful for risk assessment and investment decisions.
Syntax and Parameters
Below is the basic syntax for using the hf_Cash_and_Equivalents
function in Excel.
=hf_Cash_and_Equivalents(Symbol, Year, [Quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol | The ticker or identifier (e.g., "MSFT", "^SPX", "@MSFT 110122C00020000", or "BTCUSD:DEFAULT"). | Yes | "MSFT" |
Year | The year (e.g., 2022) or special keywords like "lq" (last quarter), "ly" (last year), "lt" (last 12 months). | Yes | 2023 |
Quarter | Quarter number (1, 2, 3, or 4). Defaults to "1" if omitted. | No | 2 |
TTM | Set to "TTM" for trailing 12 months data. Default is blank if omitted. | No | "TTM" |
Return Value
• Returns the company’s total amount of cash and cash equivalents for the specified historical period.
• If data is not available, or if there is a license or symbol issue, the function may return "NA".
?? Note: Make sure your MarketXLS license includes historical fundamental data access. Otherwise, you may see “NA” errors.
Examples and Usage
Below are some practical ways to use the Cash And Equivalents (Historical) formula in Excel:
=hf_Cash_and_Equivalents("MSFT", 2022)
• Returns Microsoft’s cash and cash equivalents for the year 2022.
=hf_Cash_and_Equivalents("^SPX", "lq")
• Returns the last quarter's total for the S&P 500 index (if applicable).
=hf_Cash_and_Equivalents("@MSFT 110122C00020000", "ly-1", 3)
• Returns Microsoft’s cash and equivalents for the last year - 1 in the 3rd quarter, for the specified option symbol.
Including Dates Directly or via References
-
Cell references:
=hf_Cash_and_Equivalents(A1, 2022)
Here, cell A1 might contain "MSFT".
-
Direct dates:
Although the function primarily uses Year/Quarter, you can still integrate date references in other analyses, for instance:=hf_Cash_and_Equivalents("MSFT", TEXT("2024-03-15","yyyy"))
-
Excel date functions:
=hf_Cash_and_Equivalents("MSFT", TEXT(A1,"yyyy"))
Where A1 is a date cell, and
TEXT(A1,"yyyy")
extracts the year portion.
? Pro Tip: Combine TTM ("TTM") with specific quarters to analyze trailing 12-month trends and build dynamic liquidity models in your spreadsheets.
Common Questions
-
What if I get “NA” as a result?
- This could mean:
- The symbol is invalid.
- Historical data for that date/quarter/year is not available.
- Your MarketXLS subscription may not include historical fundamentals.
- This could mean:
-
Does it work with crypto symbols?
- Yes. Use the format "BTCUSD:DEFAULT" to pull crypto data.
-
How can I speed up performance?
- Minimize the number of calls. Try batching or limiting your lookups to required cells.
- Ensure you have a stable internet connection, as data is fetched from MarketXLS servers.
-
Are partial years or custom periods supported?
- The function uses defined quarters (1, 2, 3, 4), last quarter/year, or trailing 12 months. For more detailed intervals, combine other approaches or MarketXLS functions.
?? Note: For spreadsheets with many
hf_
functions, consider refreshing in intervals to avoid hitting data limits or slowing down your workbook.
By understanding and using hf_Cash_and_Equivalents
, you can seamlessly incorporate detailed liquidity reporting in your Excel workbooks, helping you make more informed decisions with up-to-date historical fundamentals from MarketXLS. Happy analyzing!