Earnings Date Formula in Excel
Easily retrieve the scheduled date of a company's next quarterly earnings release by using the MarketXLS "Earnings Date" formula in Excel. This function is particularly useful for investors, analysts, and traders who want up-to-date insights into when financial results are reported.
Understanding Earnings Date
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Purpose and Use Cases
The Earnings Date formula helps you quickly find the date a company is expected to release its next quarterly earnings. This is crucial for planning trades, analyzing performance, and staying informed about market-moving events. -
Key Benefits
- Provides accurate and timely earnings information.
- Helps track upcoming announcements for multiple companies at once.
- Simplifies research and analysis within Excel.
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When to Use
Use the Earnings Date formula whenever you need to keep an eye on upcoming earnings announcements for your portfolio or for stocks you are researching.
Syntax and Parameters
=earnings_date(Symbol)
Parameter | Description | Required | Example |
---|---|---|---|
Symbol | String representing the ticker symbol or identifier of the security. Supports stocks, indices, options, and crypto formats. |
Yes | "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT" |
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Return Value
Returns the next scheduled earnings date as a text string (in "YYYY-MM-DD" format), or NA if the symbol is invalid, if license verification fails, or if data is not available. -
Error Handling
- If an invalid or unrecognized Symbol is provided, the function returns NA.
- Licensing issues or connectivity errors also lead to an NA result.
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Special Cases and Limitations
- The function solely requires a valid symbol. No date parameter is needed.
- Works only with an active MarketXLS license and an internet connection.
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Performance Considerations
- Calls are made to MarketXLS servers, so performance depends on internet speed and MarketXLS server availability.
- If you have numerous symbol lookups, consider evaluating them in batches or using Excel’s built-in calculation settings to manage performance.
Examples and Usage
Below are various ways to use the earnings_date
function with different types of symbols:
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Using a Regular Stock Symbol:
=earnings_date("MSFT")
Retrieves the next earnings date for Microsoft.
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Using an Index Symbol:
=earnings_date("^SPX")
Retrieves the next earnings date information if available for the S&P 500 (though many indices do not have traditional earnings).
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Using an Option Symbol:
=earnings_date("@MSFT 110122C00020000")
Checks if there is a relevant earnings date for this specific option contract’s underlying security, Microsoft.
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Using a Crypto Symbol:
=earnings_date("BTCUSD:DEFAULT")
Retrieves the next earnings date for this crypto listing if applicable. Most cryptocurrencies do not have earnings reports, so likely returns NA.
? Pro Tip: Store your ticker symbols in cells (e.g., A1) and reference them:
=earnings_date(A1)
This approach makes it easier to update multiple tickers simultaneously.
Common Questions
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Why am I getting NA for certain symbols?
?? Note: If MarketXLS cannot find the earnings information for a particular symbol (e.g., certain indices, crypto symbols, or unsupported international tickers), it returns NA. Make sure your symbol is valid and your license is active.
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Can I use date inputs with the Earnings Date formula?
Theearnings_date
function does not accept separate date inputs. It only needs a valid symbol. However, if you need to work with dates in other MarketXLS formulas, you can pass dates as:- Cell references with an Excel date.
- Direct strings in "YYYY-MM-DD" format.
- Using
TEXT(A1,"yyyy-mm-dd")
.
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Does the formula update automatically?
Yes, the formula updates whenever Excel recalculates, provided you have an internet connection and a valid MarketXLS license. -
How do I improve performance with multiple symbols?
- Use fewer recalculations by turning off auto-calculation and refreshing manually.
- Group symbols and reference them from cells in a structured way.
? Pro Tip: Combine
earnings_date
with other MarketXLS formulas (such as EPS or Paydate) to create a powerful dashboard that covers all the essential figures for your investment analysis.