Accrued Liabilities (Historical) Formula in Excel

Understanding Accrued Liabilities (Historical)

Accrued Liabilities (Historical) refers to expenses a company has incurred but not yet paid. This formula helps financial analysts, accountants, and investors:

  • Quickly retrieve accrued liabilities data for specific time periods.
  • Compare historical liability trends across multiple symbols.
  • Make informed decisions and track a company’s short-term obligations.

? Pro Tip: Use this function to identify potential cash flow impacts or liabilities spikes for more accurate forecasting.

Syntax and Parameters

=hf_Accrued_Liabilities(Symbol, year, [quarter], [TTM])
Parameter Description Required Example
Symbol The security ticker, index, option, or crypto symbol. Yes "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT"
year The fiscal year or a relative term like "LY" or "LQ". Yes 2022, "ly-1"
quarter The quarter number (1, 2, 3, or 4). Defaults to "1" if omitted. No 2
TTM Set to "TTM" for trailing twelve months data. Leave blank if not applicable. No "TTM"

Return Value:
• Returns a numeric value representing the accrued liabilities for the specified symbol and period.
• Returns "NA" if the symbol is invalid, the license is not valid, or an unexpected error occurs.

?? Note:

  • Ensure your MarketXLS license is active (Subscription Type4 or higher).
  • The function may return "NA" for symbols or date ranges not supported by the data source.

Examples and Usage

  1. Using a cell reference for the year:
    =hf_Accrued_Liabilities("MSFT", A1)
  2. Direct date format (for advanced users who structure calls differently, such as legacy or custom references):
    • Typically not required for this function, but you can incorporate Excel date outputs using something like:
      =hf_Accrued_Liabilities("MSFT", TEXT(A1,"yyyy"))
  3. Regular symbol query:
    =hf_Accrued_Liabilities("MSFT", 2022)
  4. Index symbol query:
    =hf_Accrued_Liabilities("^SPX", 2021, 2)
  5. Option symbol query:
    =hf_Accrued_Liabilities("@MSFT 110122C00020000", "LY")
  6. Crypto symbol query:
    =hf_Accrued_Liabilities("BTCUSD:DEFAULT", "LQ")
  7. Including TTM (trailing twelve months):
    =hf_Accrued_Liabilities("MSFT", 2022, 3, "TTM")
  8. Using last quarter or last year notations:
    • For the last quarter:
      =hf_Accrued_Liabilities("MSFT", "LQ")
    • For the last year minus one:
      =hf_Accrued_Liabilities("MSFT", "LY-1")
    • For last 12 months:
      =hf_Accrued_Liabilities("MSFT", "LT")

? Pro Tip: Combine this function’s output with other fundamental metrics (like Revenue (Historical) or Gross Profit (Historical)) to obtain a fuller picture of a company’s financial health.

Common Questions

1. Which excel versions are supported?

MarketXLS functions, including hf_Accrued_Liabilities, generally work on Excel 2010 and above on Windows. Check MarketXLS documentation for the latest compatibility details.

2. What if I get an "NA" result unexpectedly?

  • Verify licensing; if the subscription is invalid or insufficient, you may see "NA".
  • Check if the symbol is spelled correctly.
  • Confirm the date parameters (year, quarter, TTM).

3. Are there any performance considerations?

  • This function fetches data from MarketXLS servers. When using multiple calls in a large spreadsheet, performance may slow. Consider caching or minimizing repeated requests.

4. How can I use this along with other MarketXLS formulas?

  • You can create combinations of historical fundamental metrics (like “=hf_Accrued_Liabilities” vs. “=hf_Revenue”) to compare liabilities against revenue, providing insights on changing trends or potential financial risks.

  • For additional calculations, reference this function’s cell in formulas (e.g., D1 - E1 to find changes over time).

5. Can I get accrued liabilities for previous quarters or years automatically?

Yes. Use relative terms like “LQ” (Last Quarter), “LY” (Last Year), “LQ-1” (Last Quarter minus one), or “LY-1” (Last Year minus one) to retrieve past data dynamically without changing references each quarter.

?? Note: Always confirm the data alignment (fiscal year vs. calendar year) when comparing multiple periods.