Cash As A Percentage Of Revenue (Historical) Formula in Excel

Cash As A Percentage Of Revenue (Historical) helps you determine how effectively a company is generating cash per dollar of revenue over a given period. With MarketXLS, you can easily pull and analyze this historical fundamental data directly in Excel.

Understanding Cash As A Percentage Of Revenue (Historical)

  • Purpose: To measure the fraction of cash a company has relative to its revenue, giving insight into liquidity and operational efficiency over time.
  • Key Benefits:
    • Identifies trends in cash generation.
    • Guides investment decisions by evaluating a company’s financial health.
    • Helps compare performance across multiple quarters or years.
  • When to Use: Use it when analyzing company fundamentals, especially when tracking cash flow efficiency over specific periods (annual, quarterly, or trailing twelve months).

Syntax and Parameters

=hf_Cash_as_a_Percentage_of_Revenue(Symbol, Year, [Quarter], [TTM])
Parameter Description Required Example
Symbol The ticker symbol of the security (e.g., stock, index, option, crypto). Yes "MSFT", "^SPX", "@MSFT 110122C00020000"
Year The fiscal year to retrieve data for. Can also be special strings like "lq", "ly", "lt", or direct dates. Yes "2022", "lq", "ly-1", "2024-03-15"
Quarter The fiscal quarter ("1" to "4"). Default is "1". No 2
TTM Set to "TTM" for trailing twelve months data. Leave blank to ignore. No "TTM"

?? Note: If the data is not available for the specified period, the function returns "NA".

Return Value

• Returns a numeric value representing the percentage (%) of cash per dollar of revenue.
• Returns "NA" if the symbol is invalid or if the data is unavailable.

Error Handling

Non-numeric or unavailable data will return "NA".
Invalid symbol or inactive subscription also returns "NA".

Special Cases & Limitations

  • Limited by data availability in MarketXLS’s database.
  • Performance might slow for large sheets making multiple calls. Use efficient referencing and caching strategies.

Examples and Usage

Below are some practical examples. Adjust parameters to fit your data references.

  1. Basic Usage:

    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", 2022)

    Returns the ratio of cash to revenue for Microsoft in 2022.

  2. Specify Quarter:

    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", 2022, 2)

    Returns the ratio for Microsoft in the second quarter of 2022.

  3. Use Trailing Twelve Months:

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

    Evaluates the ratio on a trailing twelve months basis from Q3 2022.

  4. Last Quarter and Last Year References:

    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", "lq")
    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", "ly")
    • "lq": last quarter
    • "ly": last year
  5. Using Cell References and Date Formats:

    'A1 contains the date or year
    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", A1)
    
    'Direct date input
    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", "2024-03-15")
    
    'Using Excel date function
    =hf_Cash_as_a_Percentage_of_Revenue("MSFT", TEXT(A1, "yyyy-mm-dd"))

    ? Pro Tip: For best performance, reference cells (e.g., A1) that already contain data rather than typing them directly.

Common Questions

  1. How do I handle a function that returns "NA"?

    • Ensure your ticker symbol is valid (e.g., "MSFT", "^SPX").
    • Check if your subscription plan supports historical fundamentals.
    • Confirm the requested period (year, quarter) is valid.
  2. Can I compare multiple periods quickly?

    • Yes. Use multiple formulas across rows or columns with different year/quarter inputs to see trends at a glance.
  3. How do I combine this with other MarketXLS functions?

    • Pair with revenue, cost of revenue, or R&D expense metrics for deeper analysis of cash flow management and profitability.
  4. Are there related functions for deeper fundamental analysis?

    • Revenue (Historical)
    • Cost Of Revenue (Historical)
    • Gross Profit (Historical)
    • R & D Expenses (Historical)
    • Selling General and Administrative Expense (Historical)

    These functions can be used together to build a comprehensive financial dashboard.

?? Note: Always confirm data accuracy and refreshing policies within MarketXLS to avoid outdated figures.