EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value

This powerful MarketXLS function retrieves the consensus EPS (Earnings Per Share) estimate from 60 days ago for Q2 (the second quarter), helping you track historical sentiment on a stock’s upcoming earnings. By calling an API endpoint behind the scenes, it seamlessly pulls solid insights on how analysts anticipated the stock’s performance from two months prior, directly into Excel. You can use these insights to measure shifts in market expectations and fine-tune your trading strategies.

Why Use This Function?

• Gain Historical Insight: Check how EPS estimates stood 60 days ago, offering a deeper look at how analysts’ forecasts have changed over time.
• Validate Market Sentiment: Assess if consensus estimates were overly optimistic or pessimistic compared to current data.
• Strategic Planning: Incorporate historical EPS trends into investment screening and watchlists to find undervalued or overvalued opportunities.
• Quick Access in Excel: No external scripts or tools needed—execute everything within your familiar Excel environment.
• Real-Time Refreshes: Automatically updates when new data is refreshed on the backend, keeping your spreadsheet analysis current.

How to Use in Excel

Simply enter the function with your desired ticker symbol into any cell in Excel:

=EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value("AAPL")

Replace "AAPL" with the ticker symbol of your choice. The function will contact MarketXLS servers to fetch the 60-day-old Q2 consensus EPS estimate.

Notes on usage: • If data is being refreshed at the moment, the function may return "Refreshing" until new data becomes available.
• Invalid symbols or unavailable data yield "NA."
• A valid MarketXLS license is required; otherwise, an error message or "NA" may be shown.

Parameters Explained

• Symbol: Enter the exact ticker symbol. For instance, "MSFT" for Microsoft or "TSLA" for Tesla. Passing an incorrect or unsupported symbol will return "NA."

Example Usage

Basic Examples

1. =EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value("AAPL")

   • Retrieves Apple’s 60-day-ago Q2 consensus EPS estimate if available.

2. =EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value("TSLA")

   • Fetches Tesla’s 60-day-old Q2 EPS estimate.

In both cases, if the MarketXLS backend is still refreshing data or if "TSLA" data is not yet available, you may temporarily see "Refreshing" or "NA."

3. =EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value("XYZ")
   • If "XYZ" is not recognized, the function will return "NA."

Advanced Scenarios

• Combining with Other Excel Functions:
=IFERROR(EarningsEstimates_consensusEpsEstimatesTrends_days60Ago_qr2_value("AAPL"),"Data Not Available")
This gracefully handles any "NA" or error by substituting a custom message.

• Trend Analysis Over Time:
Set up multiple cells (e.g., 90 days ago, 60 days ago, 30 days ago if you have similar functions) to compare how the consensus EPS has evolved each month leading up to Q2. This can reveal whether analysts have been raising or lowering their estimates.

• Multi-Ticker Screens:
Pull historical consensus EPS data for a list of potential investments and filter them based on historical forecast volatility or sentiment shifts.

Common Questions and Troubleshooting

• "Why am I seeing 'NA'?"
– The symbol might be invalid or the data is not available at the moment. Double-check ticker spelling and validity.
– The API might have encountered an error. If the issue persists, confirm your MarketXLS license and try again.

• "What does 'Refreshing' mean?"
– It indicates that MarketXLS is updating the data cache in the background. Wait a short while and re-check the cell.

• "Settings or license issues?"
– Ensure your MarketXLS license is active; otherwise, the function might return an error or "NA."

By leveraging this function, Excel users gain instant historical insights for 60 days-ago Q2 consensus EPS estimates, making it an excellent tool for thorough earnings analysis in the U.S. stock market context. Deploy it for real-world predictions, fundamental analysis, or building a data-driven investment strategy right within your spreadsheet!