Amortization (Historical) Formula in Excel

Use the Amortization (Historical) formula in Excel provided by MarketXLS to track the gradual reduction of an asset’s cost and related liabilities over time. This function retrieves the amortization value for a specific ticker symbol and time period, helping you make informed decisions about a company’s financial health.

Understanding Amortization (Historical)

Amortization represents the systematic reduction of an intangible asset’s cost or the scheduled reduction of a debt over time.

• Use this formula to analyze a firm’s periodic amortization expenses.
• Compare multiple periods (quarters, years, trailing twelve months) to see how amortization trends.
• Valuable for financial modeling, investment research, and company performance evaluation.

? Pro Tip: Combine Amortization (Historical) with other MarketXLS historical fundamental formulas (e.g., Revenue (Historical), Cost Of Revenue (Historical)) to build detailed financial models and spot trends over time.

Syntax and Parameters

=hf_Amortization(Symbol, year, [quarter], [TTM])

This function returns a numeric value representing the specified period’s amortization. If data is unavailable or invalid, the function returns "NA".

?? Note:

• Symbol must be properly formatted (e.g., "=hf_Amortization("MSFT", 2022)").
• A valid MarketXLS license (Type4 or higher) is required.
• Make sure you have an active internet connection for data retrieval.

Examples and Usage

1. Basic Examples

   =hf_Amortization("MSFT", 2022)
   =hf_Amortization("MSFT", 2022, 2)
   =hf_Amortization("^SPX", "ly")

2. Using Trailing Twelve Months

   =hf_Amortization("MSFT", 2022, 3, "TTM")
   =hf_Amortization("BTCUSD:DEFAULT", "lt")

3. Relative Periods

   =hf_Amortization("MSFT", "lq")     // Last Quarter
   =hf_Amortization("MSFT", "ly-1")  // Last Year minus 1

4. Date Input Considerations
   Though the function primarily accepts “year,” you can reference cells or manipulate dates to extract the year:

   • Cell reference for year:

     =hf_Amortization("MSFT", A1)  // Where A1 contains 2023

   • Direct date converted to year:

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

   • Quarter logic can be similarly handled by referencing or deriving a quarter value in a cell.

5. Symbol Variations

   =hf_Amortization("^SPX", 2022)             // Index
   =hf_Amortization("@MSFT 110122C00020000", "lq")  // Option ticker
   =hf_Amortization("BTCUSD:DEFAULT", "ly")   // Cryptocurrency pair

? Pro Tip: Large retrieves or multiple function calls may impact performance. Consider batching requests or limiting calculations to the relevant cells to optimize speed.

Common Questions

1. What if I get an “NA” result?

The formula may return "NA" if:

• The symbol is invalid or not supported.
• The data for the specified period is unavailable.
• Your MarketXLS license type does not support historical fundamentals.

2. How can I use this formula for a rolling period analysis?

Use relative references like “ly,” “lq,” or “lt” and combine them with offsets (e.g., “ly-1,” “lq-2”) to compare multiple historical periods in a rolling window.

3. Does this formula work with all assets?

Yes, provided MarketXLS supports that asset class (stocks, indices, crypto, or options). If data is unavailable, it returns "NA".

4. Are there any performance considerations?

Yes. Pulling large data sets or updating many cells simultaneously may slow your spreadsheet. Limit your queries to essential data ranges or implement on-demand calculations.

?? Note: Always check your cell references, date formats, and MarketXLS license status if you encounter unexpected results.