Issuance Repayment Of Debt Securities (Historical) Formula in Excel

In this guide, you will learn how to use the Issuance Repayment Of Debt Securities (Historical) formula in Excel with MarketXLS. This function helps you track how much net debt a company has issued or repaid in a given period, providing essential insights into its financing activities. By integrating this formula in your worksheets, you can make more informed decisions based on historical fundamental data.

Understanding Issuance Repayment Of Debt Securities (Historical)

• Purpose and Use Cases

  • Quickly retrieve a company’s net debt issuance over a specific time (annual, quarterly, or trailing months).
  • Gain insights into a company’s financing strategies and debt management.
  • Evaluate how debt issuance affects overall liquidity and capital structure.

• Key Benefits

  • Easy analysis of cash inflows and outflows related to debt.
  • Automation of historical data retrieval directly in Excel with MarketXLS.
  • Provides a clear picture of a firm’s reliance on debt financing over time.

• When to Use

  • Suitable for fundamental analysis in corporate finance, investment research, and credit risk assessments.
  • Ideal for comparing debt issuance trends across multiple periods or multiple symbols.

Syntax and Parameters

=hf_Issuance_Repayment_of_Debt_Securities(symbol, year, [quarter], [TTM])

?? Note: This function returns "NA" if the symbol is invalid, if the license is not valid, or if you lack the required historical fundamental data subscription.

Return Value

• Returns a numeric value indicating net issuance (positive) or net repayment (negative) of debt securities.
• Returns "NA" in case of invalid inputs or missing data.

Examples and Usage

Below are common ways to use the hf_Issuance_Repayment_of_Debt_Securities function in Excel:

1. Basic usage by specifying just the symbol and the year:

   =hf_Issuance_Repayment_of_Debt_Securities("MSFT", 2022)

   Retrieves the net debt issuance or repayment for Microsoft in 2022.

2. Year and specific quarter:

   =hf_Issuance_Repayment_of_Debt_Securities("MSFT", 2022, 2)

   Retrieves the data for Microsoft during Q2 of 2022.

3. Trailing twelve months (TTM):

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

   Retrieves trailing twelve-month cumulative debt issuance/repayment from Q3 2022.

4. Last quarter (LQ):

   =hf_Issuance_Repayment_of_Debt_Securities("MSFT", "lq")

   Retrieves the data for the most recently reported quarter.

5. Last year minus one (LY-1):

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

   Retrieves the data for one year before the last reported year.

Using Cell References for Year

You can reference a cell containing the year:

=hf_Issuance_Repayment_of_Debt_Securities("MSFT", A1)

Or convert a date cell to a year string:

=hf_Issuance_Repayment_of_Debt_Securities("MSFT", TEXT(A1, "yyyy"))

? Pro Tip: Combine this function with other historical fundamental formulas in MarketXLS—such as hf_Revenue, hf_Gross_Profit, and hf_Research_Development_Expense—to build a comprehensive financial analysis dashboard.

Common Questions

1. What should I do if I get "NA" as the result?

   • Ensure the ticker symbol is valid and spelled correctly.
   • Verify that your MarketXLS license and historical fundamental data subscription are active.
   • Check if the parameters (year, quarter, TTM) are valid and properly formatted.

2. Is there a performance impact when using this function repeatedly?

   • Repeated calls across large data sets may slow down your Excel workbook.
   • Consider enabling caching or reduce the number of function calls for optimal performance.

3. Can I use this function for any symbol format available in MarketXLS?

   • Yes. You can use standard stock tickers (e.g., "MSFT"), indices (e.g., "^SPX"), options (e.g., "@MSFT 110122C00020000"), or crypto (e.g., "BTCUSD:DEFAULT").

4. What are some related functions to enhance my analysis?

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

   Each of these helps you look at different aspects of a company’s financial statements over time.

?? Note: The data returned is only as accurate as the information provided by MarketXLS’s historical fundamental data feed. Always cross-check critical figures with additional sources when making investment or business decisions.