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.
-
Basic Usage:
=hf_Cash_as_a_Percentage_of_Revenue("MSFT", 2022)
Returns the ratio of cash to revenue for Microsoft in 2022.
-
Specify Quarter:
=hf_Cash_as_a_Percentage_of_Revenue("MSFT", 2022, 2)
Returns the ratio for Microsoft in the second quarter of 2022.
-
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.
-
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
-
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
-
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.
-
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.
-
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.
-
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.