Fetch 30-Day-Ago Consensus EPS Estimates with Ease

The EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value function in MarketXLS makes it simple to retrieve analysts’ EPS (Earnings per Share) consensus estimates from 30 days ago for the upcoming quarter. By using this function, you can quickly pull historical analyst projections, compare them to current estimates, and make more informed decisions when analyzing US stocks in Excel. This data can help you track changes in sentiment and identify potential trends.

Why Use This Function?

• Easily track 30-day-old EPS consensus estimates without manually gathering data.
• Compare older estimates to more recent ones for deeper insight into analyst sentiment.
• Integrate into your existing Excel analysis or trading workflows to refine your strategies.
• Speed up your research process by retrieving real-time or cached data directly into Excel.
• Streamline your fundamental analysis by looking at consistent data points across multiple stocks.

How to Use in Excel

Use the following syntax in a cell to call the function:

=EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value("Symbol")

Simply replace "Symbol" with the ticker symbol of the US stock you want to analyze. Press Enter, and MarketXLS will fetch the data from the API if available.

• If the symbol is invalid or an error occurs, the function will return "NA."
• If the data is in the process of being updated, you may briefly see "Refreshing" until the update completes.

Parameters Explained

Example Usage

Basic Examples

1. Single-Stock Analysis

   • In cell A2, enter:
     =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value("AAPL")
   • This immediately shows the EPS estimate from 30 days ago for Apple’s next quarterly earnings.

2. Using a Cell Reference

   • Suppose cell B1 has the ticker “MSFT”. In cell B2, enter:
     =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value(B1)
   • This fetches Microsoft’s 30-day-ago consensus EPS estimate.

Advanced Scenarios

1. Portfolio-Wide Comparison

   • Create a list of different ticker symbols in column A (e.g., AAPL, MSFT, GOOGL, AMZN).
   • In column B, use the function to retrieve each stock’s 30-day-ago EPS estimate:
     =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value(A2)
   • Drag down to quickly compare the day-30-ago EPS estimates across your portfolio.

2. Tracking Changes Over Time

   • Pair this function with current consensus EPS functions (if available in MarketXLS) to compare how estimates have shifted within 30 days.
   • Use Excel’s built-in charting to visualize the changes in EPS consensus estimates over time.

3. Integrating with Other Functions

   • Combine the results with standard Excel functions (e.g., AVERAGE, MEDIAN) to get summary statistics of 30-day-ago estimates across multiple stocks.
   • If you run macros for advanced analysis, incorporate this MarketXLS function to dynamically update or validate your data.

Common Questions and Troubleshooting

1. Why am I seeing “NA”?

   • This occurs if the symbol is invalid, there is no available data for that ticker, or an error occurred during the API call.

2. Why does the function return “Refreshing”?

   • It appears when MarketXLS is in the process of refreshing or fetching new data. Once the update completes, the cell should show the correct EPS estimate.

3. Can I use this for non-US tickers?

   • While primarily designed for US stocks, it may work for certain non-US tickers if they are supported in MarketXLS. Otherwise, you’ll see “NA.”

4. How often is the data updated?

   • Data is generally updated according to MarketXLS’s API schedule. If new data is not yet available, the function will keep returning the last-known value or “NA.”

By leveraging the EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_qr1_value function in your Excel workflows, you can effortlessly integrate 30-day-ago EPS consensus estimates into your analysis. Whether you’re screening multiple stocks or doing a deep dive into a single company’s prospects, this function provides valuable context to shape your trading and investment decisions.