Purchase Of Short Term Investments (Historical) Formula in Excel

In this guide, you’ll learn how to use the “Purchase Of Short Term Investments (Historical)” formula in Excel with MarketXLS. This function retrieves the total value of short-term investments acquired by a company for a specified historical period. Whether you’re comparing trends over multiple quarters or analyzing a single fiscal year, this formula helps you make data-driven decisions and enhance your financial analysis in Excel.

Understanding Purchase Of Short Term Investments (Historical)

• Purpose: The formula fetches the total expenditure a company has made on short-term investments during the specified year or quarter.
• Key Benefits:
  • Provides historical context for short-term investment activities.
  • Useful for trend analysis and detecting changes in capital allocation.
• When to Use:
  • Compare year-over-year changes in short-term investments.
  • Incorporate data into broader financial evaluation or modeling.
  • Track investment expenditures to gauge potential liquidity positions.

Syntax and Parameters

Use the formula in Excel as shown below:

=hf_Purchase_of_short_term_investments(Symbol, Year, [Quarter], [TTM])

?? Note: If the symbol is invalid or your license is not valid for this function, the formula will return "NA".

Return Value

• Typically returns a numeric value (Double in Excel) indicating the total short-term investments purchased.
• If data is unavailable, the formula may return "NA".

? Pro Tip: Use the function with different periods (e.g., “lq”, “ly”) for quick comparisons between last quarter, last year, or a trailing period.

Examples and Usage

Below are common ways to call this function. Adjust parameters as needed for your analysis.

1. Retrieve the short-term investment purchase for Microsoft in the year 2022 (calendar quarter default = 1):

   =hf_Purchase_of_short_term_investments("MSFT", "2022")

2. Specify a quarter (e.g., Q2 of 2022):

   =hf_Purchase_of_short_term_investments("MSFT", "2022", "2")

3. Obtain trailing twelve months data for Q3 2022:

   =hf_Purchase_of_short_term_investments("MSFT", "2022", "3", "TTM")

4. Use a relative period like “lq” for the last quarter or “ly-1” for last year minus one:

   =hf_Purchase_of_short_term_investments("MSFT", "lq")
   =hf_Purchase_of_short_term_investments("MSFT", "ly-1")

Different Ways to Input Dates (If Applicable)

1. Refer to a cell containing the year or keyword:

   =hf_Purchase_of_short_term_investments("MSFT", A1)

2. Input a date directly (Excel will interpret the relevant year):

   =hf_Purchase_of_short_term_investments("MSFT", "2024-03-15")

3. Combine with an Excel date function:

   =hf_Purchase_of_short_term_investments("MSFT", TEXT(A1,"yyyy-mm-dd"))

?? Note: For most use cases, you’ll specify just the year or the relative keywords (lq, ly). Passing a full date is optional.

Common Questions

1. Why am I getting “NA” instead of a number?

• Ensure the ticker symbol is valid and licensed for your MarketXLS plan.
• Verify that the year and quarter are valid inputs.
• Check your internet connection; the function relies on MarketXLS APIs.

2. Can I use this formula for all types of symbols?

• Yes. You can use stock symbols (e.g., "AAPL"), indices (e.g., "^SPX"), options (e.g., "@MSFT 110122C00020000"), and crypto (e.g., "BTCUSD:DEFAULT"). The function returns “NA” if the data is unavailable.

3. Is there a performance impact when using multiple calls?

• Multiple function calls may increase the load time of your Excel spreadsheet, especially if referencing many symbols or large date ranges. Consider limiting excessive calls or using caching techniques provided by MarketXLS.

4. Are there any special limitations?

• Some data points may be limited to specific subscription tiers. If your license is not valid for this dataset, you’ll receive “NA.”

? Pro Tip: Combine this formula with others like “Revenue (Historical)” or “Gross Profit (Historical)” to compare how short-term investment purchases correlate with broader company performance over time.