Notes Payable (Historical) Formula in Excel

Use the Notes Payable (Historical) formula in Excel with MarketXLS to retrieve a company's historical notes payable values for a specified year or period. This powerful function helps you quickly analyze a company's short-term or long-term borrowing and repayment obligations over various historical periods.

Understanding Notes Payable (Historical)

• Purpose: The function returns a representation of a written promise by a borrower to repay the lender.
• Key Benefits:
  • Helps assess a company's debt structure over time.
  • Simplifies reporting by automatically pulling historical data.
  • Integrates directly with Excel for seamless analysis.
• When to Use:
  Use this function when you need to retrieve and analyze historical data on a company's notes payable for financial analysis, auditing, or investment decision-making.

Syntax and Parameters

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

Return Value:
Returns a numeric value representing the company’s notes payable for the specified period. If data is unavailable, the function returns "NA".

?? Note: If you do not have an active subscription for historical fundamentals, this function may return "NA."

? Pro Tip: Use cell references or date functions to dynamically pass parameters.

Examples and Usage

Below are practical examples using different parameter formats. Adjust them as needed for your analysis.

1. Basic Year and Quarter Examples:

   • =hf_Notes_Payable("MSFT", 2022)

     Retrieves notes payable for Microsoft in 2022 (defaults to Quarter 2 if none specified).

   • =hf_Notes_Payable("MSFT", 2022, 2)

     Retrieves notes payable for Microsoft in Q2 of 2022.

   • =hf_Notes_Payable("MSFT", 2022, 3, "TTM")

     Retrieves notes payable for Microsoft in Q3 of 2022 on a trailing twelve-month basis.

2. Special Keywords (Last Quarter/Last Year/Last Twelve Months):

   • =hf_Notes_Payable("MSFT", "lq")

     Value for the last quarter.

   • =hf_Notes_Payable("MSFT", "ly-1")

     Value for the prior last year (i.e., last year minus one additional year).

3. Date Input Variations (if referencing a year or date text):

   • Cell reference:

     =hf_Notes_Payable(A1, B1)

     Where cell A1 has the symbol "MSFT", and cell B1 contains "2022" or a special keyword.
   • Direct dates (converted to string for Year field if applying advanced logic):

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

     (Requires your logic to interpret this date as a specific period or year.)
   • Excel date functions:

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

?? Note: Passing literal dates ("2024-03-15") assumes any custom logic you have to map a date to the relevant fiscal period.

Performance Considerations

• Multiple calls can slow down Excel if retrieving large data sets.
• Use efficient cell referencing and avoid repeated calls in adjacent cells when possible.

Error Handling

• Returns "NA" if an invalid symbol is used or if the required subscription is inactive.
• Check your parameters and subscription status if you consistently see "NA" values.

Common Questions

1. What if the ticker symbol is invalid or not supported?
   The function will return "NA". Confirm the symbol is valid and supported by your subscription plan.

2. Why do I see "NA" for certain quarters or years?
   Data may not be available, or you may not have the required plan for historical fundamentals. If unsure, contact MarketXLS support.

3. Can I combine "TTM" with special keywords like "lq" or "ly"?
   Yes, for instance "lq" with "TTM" will retrieve trailing-twelve-month data ending with the last reported quarter.

4. How often is the data updated?
   Historical fundamental data is updated periodically. Exact refresh cycles depend on the original data source and MarketXLS update schedules.

5. What other historical fundamentals can I track with MarketXLS?

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

? Pro Tip: Combine multiple MarketXLS historical functions to build a comprehensive financial statement analysis directly in Excel.