Cash Flow Per Share (Historical) Formula in Excel
Understanding Cash Flow Per Share (Historical)
Cash Flow Per Share (Historical) helps you assess a company's financial health by comparing its reported cash flow figures against the number of outstanding shares. This Excel formula (with MarketXLS) retrieves historical values based on specific years, quarters, or trailing twelve months (TTM). It’s particularly useful for:
- Evaluating whether a company generates enough cash to fund operations.
- Comparing financial performance trends across time.
- Gaining deeper insights into a company’s operational efficiency and solvency.
Syntax and Parameters
Use the hf_Cash_Flow_per_Share
function to return historical cash flow per share data.
=hf_Cash_Flow_per_Share(Symbol, Year, [Quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol | The security ticker or symbol (e.g., "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT"). | Yes | "MSFT" |
Year | The reporting year (e.g., 2022, "lq", "ly", "lt"). | Yes | 2022 |
Quarter | The specific quarter (1 to 4). Defaults to "1". | No | 2 |
TTM | Use "TTM" for trailing twelve months. Leave blank for standard periods. | No | "TTM" |
?? Note: If an unacceptable symbol or a license issue occurs, the function returns "NA".
Return Value
• Returns a numeric value representing the cash flow per share.
• Returns "NA" if the data is not available or the parameters are invalid.
Error Handling and Special Cases
- Invalid symbol or unsupported market: returns "NA".
- License not valid: returns an error message or "NA".
- For date references, you can use:
- Cell references:
=hf_Cash_Flow_per_Share(A1, B1)
- Direct date strings (for illustration, though year is typically numeric for this function):
=hf_Cash_Flow_per_Share("MSFT", "2024-03-15")
- Excel date functions:
=hf_Cash_Flow_per_Share("MSFT", TEXT(A1,"yyyy-mm-dd"))
- Cell references:
? Pro Tip: Combine this function with other MarketXLS historical fundamentals (e.g., Revenue, Gross Profit) for a full financial analysis.
Examples and Usage
-
Basic Usage for a Specific Year:
=hf_Cash_Flow_per_Share("MSFT", 2022)
Retrieves the 2022 cash flow per share for Microsoft.
-
Specifying Quarter and TTM:
=hf_Cash_Flow_per_Share("MSFT", 2022, 3, "TTM")
Returns trailing twelve months data from the 3rd quarter of 2022.
-
Last Year (ly) or Last Quarter (lq):
=hf_Cash_Flow_per_Share("MSFT", "lq") =hf_Cash_Flow_per_Share("MSFT", "ly")
Fetches the most recent quarter or most recent year automatically.
-
Relative Historical Periods:
=hf_Cash_Flow_per_Share("MSFT", "lq-1") =hf_Cash_Flow_per_Share("MSFT", "ly-1")
Gets the previous quarter or previous year (one period behind the last known).
-
Last Twelve Months (lt):
=hf_Cash_Flow_per_Share("MSFT", "lt")
Returns the last 12 months’ cash flow per share.
?? Note: Always ensure your Excel environment is set up to handle dynamic data from MarketXLS for accurate and up-to-date values.
Common Questions
1. Why do I get "NA" even with a valid symbol?
• The symbol may not be supported, or fundamentals for the chosen time frame might not exist. Check for typos and verify the symbol is valid.
2. Is this function suitable for real-time updates?
• The function retrieves cached historical data. For live intraday fundamentals, consider other MarketXLS functions or features.
3. Can I reference cells for Year or Quarter?
• Absolutely. You can use any cell references or formulas to generate valid inputs for Year, Quarter, and TTM.
4. How does performance caching work?
• MarketXLS caches fundamental data for up to 48 hours to improve performance. Most requests should return quickly; if it’s the first time you’re calling a new symbol, data may take an extra moment to load.
5. What if I need more detailed financial breakdowns?
• Combine this function with other historical fundamentals like “Revenue (Historical)” or “Gross Profit (Historical)” for comprehensive financial analysis.
? Pro Tip: Explore related functions such as “Revenue (Historical)” or “Gross Profit (Historical)” to compare multiple metrics and gain deeper insights.