Increase Decrease In Prepaid Expenses (Historical) Formula in Excel

Understanding Increase Decrease In Prepaid Expenses (Historical)

The Increase Decrease In Prepaid Expenses (Historical) formula in Excel with MarketXLS helps you quickly evaluate how a company's prepaid expenses have changed over a specific historical period. Keeping track of this value can be crucial for:

• Assessing shifts in short-term assets related to prepayments.
• Comparing historical trends in prepaid expenses for deeper financial insight.
• Identifying patterns that can inform forecasting and budgeting activities.

? Pro Tip: Use this formula to spot major fluctuations in prepaid expenses that may indicate changes in a company’s payment policies or operational costs.

Syntax and Parameters

Use the following syntax to call the function in Excel:

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

?? Note: If the symbol is invalid, the year or quarter is out of range, or your MarketXLS license is not valid for this function, the formula typically returns "NA."

Return Value

The function returns a numeric value representing the increase or decrease in prepaid expenses for the specified period. If data is unavailable or another error occurs, it returns "NA."

Date Input Formats (For Functions Requiring Dates)

Although this function uses fiscal years and quarters rather than direct dates, other MarketXLS functions may require date inputs. Acceptable date formats include:

1. Cell references:

   =SomeDateFunction(A1)

2. Direct dates:

   =SomeDateFunction("2024-03-15")

3. Excel date functions:

   =SomeDateFunction(TEXT(A1,"yyyy-mm-dd"))

Examples and Usage

Below are some common ways to use hf_Increase_Decrease_in_Prepaid_Expenses in Excel:

1. Basic usage by year:

   =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", 2022)

   Retrieves the increase or decrease in prepaid expenses for Microsoft in 2022.

2. Specifying a quarter:

   =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", 2022, 2)

   Returns data specifically for the second quarter of 2022.

3. Including trailing twelve months (TTM):

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

   Provides the trailing twelve months figure from the third quarter of 2022.

4. Using special keywords for last periods:

   • Last Quarter:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "lq")

   • Last Quarter minus one:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "lq-1")

   • Last Year:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "ly")

   • Last Year minus one:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "ly-1")

   • Last 12 Months:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "lt")

   • Previous Last 12 Months:

     =hf_Increase_Decrease_in_Prepaid_Expenses("MSFT", "lt-1")

? Pro Tip: Combine these parameters logically to pinpoint exact reporting periods for deeper analysis of prepaid expenses over time.

Common Questions

1. What if the symbol or parameters are invalid?

The function returns "NA" if the symbol is not recognized or if the license check fails. Double-check your inputs or ensure your MarketXLS license covers this function.

2. How frequently is the data updated?

MarketXLS retrieves fundamental data from various authoritative sources. Data is typically updated quarterly and annually, but exact frequencies may vary by symbol and exchange.

3. Are there any performance concerns?

Because the function fetches data from external MarketXLS APIs, slight delays can occur depending on network speeds. For bulk analyses, consider using a well-structured workbook or caching results to optimize performance.

4. Does the function handle different fiscal years?

Yes. The function aligns data based on the fiscal period you specify through the year and quarter parameters. For non-standard fiscal periods, MarketXLS automatically adjusts to reflect the correct financial data whenever possible.

?? Note: If the company’s fiscal year differs significantly from the calendar year, ensure you select the correct year and quarter to match the firm’s reporting cycle.

• Related Functions:
  • Revenue (Historical)
  • Cost Of Revenue (Historical)
  • Gross Profit (Historical)
  • R & D Expenses (Historical)
  • Selling General and Administrative Expense (Historical)

These additional historical financial formulas can provide deeper insights into a company’s performance when paired with changes in prepaid expenses.

? Pro Tip: Use these related MarketXLS functions together to paint a comprehensive picture of the company’s financial health over specific time frames.