Market Capitalization (Historical) Formula in Excel

Get instant historical market valuations of companies directly in Excel with the Market Capitalization (Historical) formula powered by MarketXLS. This function helps you determine a company’s total market value for a specified period—essential for analyzing trends, comparing peer valuations, and more.

Understanding Market Capitalization (Historical)

• Definition: Market Capitalization is the total value of all outstanding shares of a publicly traded company.
• Key Benefits:
  • Helps you quickly assess a company’s size and investment risk.
  • Ideal for performing historical analyses over specific quarters or trailing twelve-month (TTM) periods.
• When to Use:
  • Compare companies of different sizes.
  • Track how a firm’s valuation has changed over time.
  • Quickly build fundamental comparison models in Excel.

Syntax and Parameters

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

?? Note: If invalid parameters are provided or no data is available, this function returns "NA".

? Pro Tip: Make sure your MarketXLS license includes historical fundamental data for uninterrupted access.

Return Value Format

• Typically returns a numeric value representing the market capitalization for the specified period.
• Returns "NA" if the function cannot retrieve valid data.

Special Cases and Limitations

• You must have a Historical Fundamentals data subscription with MarketXLS.
• Limited coverage for certain international symbols.
• The function may take slightly longer to calculate when referencing multiple symbols simultaneously.

Performance Considerations

• The function fetches data from external MarketXLS servers.
• Larger spreadsheets with many data calls may need more time to recalculate.

Examples and Usage

Below are practical examples demonstrating different parameter inputs.

1. Basic Yearly Usage (Cell Reference):

   =hf_Market_Capitalization(A1, B1)

   Where cell A1 has "MSFT" and cell B1 has "2022".

2. Direct Year Input:

   =hf_Market_Capitalization("MSFT", "2022")

3. Calendar Quarter Specification:

   =hf_Market_Capitalization("MSFT", "2022", 2)

4. Using TTM (Trailing Twelve Months):

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

5. Dynamic Periods (Last Quarter / Last Year):

   =hf_Market_Capitalization("MSFT", "lq")    // Last Quarter
   =hf_Market_Capitalization("MSFT", "ly")    // Last Year

6. Advanced Symbol Formats (Index, Option, Crypto):

   =hf_Market_Capitalization("^SPX", "2022")
   =hf_Market_Capitalization("@MSFT 110122C00020000", "2022", 2)
   =hf_Market_Capitalization("BTCUSD:DEFAULT", "2022")

?? Note: Quarter defaults to "1" if omitted, and TTM defaults to an empty string if unspecified.

Common Questions

1. Why do I get "NA" even for valid symbols?

   • Check your MarketXLS license and data subscription status. Also verify correct symbol spelling.

2. How often is the data refreshed?

   • MarketXLS updates data at varying intervals. Quarterly data may become available a few weeks after each reporting period.

3. Can I use a date directly for the year parameter?

   • While Year expects a string like "2022" or references, you can also dynamically convert a date. Examples:
     » Using a cell reference:

     =hf_Market_Capitalization("MSFT", A1)

     » Using Excel functions:

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

4. Is there a limitation on older historical data?

   • Historical data availability varies by company and data subscription. If data is too old, the function might return "NA".

5. How do I improve performance in large sheets?

   • Optimize recalculation settings and reduce the frequency of data calls by consolidating requests.

? Pro Tip: Combine Market Capitalization (Historical) results with other fundamental metrics, such as revenue and earnings, to build comprehensive financial models.

• Related Functions:
  • Revenue (Historical): Quickly retrieve historical revenue data.
  • Cost Of Revenue (Historical): Analyze cost trends over time.
  • Gross Profit (Historical): Compare profitability across historical periods.
  • R & D Expenses (Historical): Track research and development spending.
  • Selling General and Administrative Expense (Historical): Monitor SG&A costs historically.