Excise Taxes (Historical) Formula in Excel

Discover the power of the Excise Taxes (Historical) formula in Excel with MarketXLS. This powerful function allows you to quickly retrieve a company’s historical excise taxes for specified periods directly into your spreadsheet. Excise taxes are typically levied on specific goods at the time of manufacture, providing valuable insights into a company's operating costs and tax liabilities.

Understanding Excise Taxes (Historical)

• Excise taxes are taxes imposed on certain goods at the production stage, influencing a company’s total tax expense.
• Use this formula when you need to analyze a company’s expense profile over time, especially concerning product-based taxes.
• Key benefits include:
  • Simplifying comparative analysis of tax liabilities across quarters or years.
  • Providing quick references to historical data for forecasting and budgeting.

Syntax and Parameters

Below is the typical syntax for the Excise Taxes (Historical) formula:

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

?? Note: If an invalid symbol is entered or your MarketXLS license is not valid for this feature, the function returns "NA".

Return Value:
• The function typically returns a numeric value representing the total excise taxes for the specified period. If the data is unavailable or an error occurs, “NA” is returned.

Examples and Usage

Below are simple and advanced examples showcasing how to use hf_Excise_Taxes with various input formats.

1. Retrieve excise taxes for a specified year:

   =hf_Excise_Taxes("MSFT", 2022)

   Returns the excise taxes for Microsoft during the year 2022.

2. Retrieve data for a specific quarter:

   =hf_Excise_Taxes("MSFT", 2022, 2)

   Returns the excise taxes for Microsoft in Q2 of 2022.

3. Use trailing twelve months (TTM):

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

   Returns the excise taxes for the trailing twelve months from Q3 2022.

4. Reference the last quarter with “lq”:

   =hf_Excise_Taxes("MSFT", "lq")

   Returns the excise taxes for Microsoft’s most recent reported quarter.

5. Combine with Excel date functions:

   • Referencing a cell (A1 contains the year 2024):

     =hf_Excise_Taxes("MSFT", A1)

   • Direct date string:

     =hf_Excise_Taxes("MSFT", "2024")

   • Using an Excel formula for the year:

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

? Pro Tip: You can combine this function with other MarketXLS formulas like Revenue (Historical) or Gross Profit (Historical) to calculate more detailed metrics, such as tax ratios and margin impact.

Common Questions

1. Why am I getting “NA” as a result?

   • Ensure the symbol is correct and your MarketXLS license is valid. Also, confirm the year and quarter are valid values.

2. Can I use date references in the ‘Year’ parameter?

   • Yes. You can directly input the year (for example, 2023) or reference a cell. For textual references to last periods (“ly”, “lq”, “lt”), be sure the syntax matches the MarketXLS documentation.

3. Does the function handle different date formats?

   • Yes. You can input the year as a number, text, or reference a formatted cell or an Excel date function.

4. How does performance scale for multiple calls?

   • MarketXLS delivers data via efficient API calls. If you need a large number of excise tax data points, consider grouping your analysis to reduce repeated calls.

5. What if I need excise tax data for future periods?

   • The function only returns actual historical data. For forecasts, you can manually estimate based on historical values or use relevant analytical models.

6. Should I use the TTM or single-quarter approach?

   • This depends on your reporting needs. TTM helps smooth out short-term fluctuations, while a single quarter highlights period-over-period changes.

?? Note: MarketXLS updates fundamental data periodically. If newly released data is not yet reflected, try refreshing the dataset or wait for the next scheduled update.

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Use the Excise Taxes (Historical) formula to enhance your financial models and quickly analyze tax trends for any company. Its flexible parameters, combined with MarketXLS’s robust data set, make it an essential tool for comprehensive financial analysis.