Home MarketXLS
Dashboard MarketXLS
Screener MarketXLS
Options Profit Calculator MarketXLS
Stock Ranks MarketXLS
Spreadsheet Builder MarketXLS
Documentation MarketXLS
Logout MarketXLS

Issuance Of Debt (Historical) Formula in Excel

Use the Issuance Of Debt (Historical) formula in Excel with MarketXLS to quickly retrieve the amount of debt a company issued during a specified period. This information helps investors and analysts assess capital-raising strategies, debt management, and overall financial health.

Understanding Issuance Of Debt (Historical)

The Issuance Of Debt (Historical) function returns the total debt issued by a company for a specified year or quarter, based on the cash flow statement data.

  • Purpose and Use Cases

    • Track how much capital a company raises through debt.
    • Compare year-over-year or quarter-over-quarter debt issuance.
    • Evaluate balance sheet changes to make informed investment decisions.
  • Key Benefits

    • Instant access to historical fundamentals without manual data gathering.
    • Accurate decision-making by monitoring changes in financial leverage.
  • When to Use

    • Anytime you need to analyze a company’s financing strategies.
    • When comparing multiple companies for debt-based financing trends.

Syntax and Parameters

=hf_Issuance_of_Debt(Symbol, year, [quarter], [TTM])
Parameter Description Required Example
Symbol The stock ticker, index, option, or crypto identifier. Supports formats like "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT". Yes "MSFT" / "BTCUSD:DEFAULT"
year The reporting year. Also supports special keywords like "ly" (last year), "ly-1" (last year minus one), "lq" (last quarter), "lt" (last 12 months). Yes 2022 / "ly" / "lq-1"
quarter The specific quarter (1, 2, 3, 4). Leave empty to default to Q1 or a special function context. No 2
TTM Set "TTM" for trailing twelve months. If not needed, leave blank. No "TTM"

?? Note: If an invalid symbol or license restriction occurs, the function returns "NA".

? Pro Tip: You can reference dates in various ways:

  • =hf_Issuance_of_Debt(A1) if your cell (A1) contains the symbol or year.
  • =hf_Issuance_of_Debt("2024-03-15") for a direct date string.
  • =hf_Issuance_of_Debt(TEXT(A1,"yyyy-mm-dd")) to pass dynamically formatted dates.

Return Value: A numeric value representing the debt issued for the specified period, or "NA" if data is not available.

Examples and Usage

Below are common ways to use hf_Issuance_of_Debt in Excel:

  1. By year only:

    =hf_Issuance_of_Debt("MSFT", 2022)

    Retrieves the total debt issued by Microsoft in 2022.

  2. By year and quarter:

    =hf_Issuance_of_Debt("MSFT", 2022, 2)

    Retrieves details for Microsoft in the second quarter of 2022.

  3. Year, quarter, and TTM:

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

    Shows trailing twelve months’ debt issuance from the third quarter of 2022.

  4. Using special keywords:

    =hf_Issuance_of_Debt("MSFT", "lq")     // Last quarter
    =hf_Issuance_of_Debt("MSFT", "ly-1")  // Last year minus one
    =hf_Issuance_of_Debt("MSFT", "lt")    // Last 12 months

? Pro Tip: Combine these parameters to analyze trends over different time periods—e.g., compare one year to the next or one quarter to various TTM values.

Common Questions

  1. What happens if the data is not found?

    • The function returns "NA" if the Symbol is invalid, data is unavailable, or your license is not valid for the requested data.
  2. Can this function analyze all market symbols and cryptos?

    • Yes. Simply use the respective ticker or notation (e.g., "BTCUSD:DEFAULT" for crypto).
  3. Does using TTM affect performance?

    • Typically, no. MarketXLS fetches required quarterly data, but complex sheets may experience minor delays.
  4. How do I check if year/quarter references are correct?

    • Ensure you use valid integers or special keywords like "ly", "lq". For example, "lq-1" references the quarter before last quarter.

By leveraging the Issuance Of Debt (Historical) formula, you gain deeper insights into how a company manages its financing activities. This quick retrieval of fundamental data is an invaluable tool for thorough financial analysis.