Retrieve 30-Day Old Consensus EPS Estimates in Excel

The EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value function is designed to return the 30-day old consensus EPS (Earnings Per Share) estimates for a specified stock symbol directly into your Excel spreadsheet. This function leverages MarketXLS’s data feed to fetch timely and accurate earnings estimates so you can make better-informed trading or investment decisions. Whether you’re analyzing quarterly performance or validating your portfolio’s next move, this function simplifies the process by automatically retrieving the data through a single parameter.

Why Use This Function?

• Automate Your Analysis: Import 30-day old consensus EPS estimates without manual copy/pastes from external sources.
• Accurate Market Data: Leverage MarketXLS’s connection to robust financial data for reliable and real-time updates.
• Historical Perspective: Reviewing EPS estimates from 30 days ago can help you gauge how analyst expectations have changed over time.
• Seamless Integration: Incorporate the returned data into any standard Excel formula, chart, or financial model.
• Effortless Symbol Management: Pass different ticker symbols (e.g., “AAPL”, “MSFT”, or “GOOG”) to view each company’s estimates for quick comparisons.

How to Use in Excel

=EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value("Symbol")

1. Open Excel with the MarketXLS add-in installed.
2. Select a cell where you want the consensus EPS estimate to appear.
3. Enter the function above, replacing "Symbol" with the target stock symbol (e.g., “AAPL”).
4. Press Enter to view the function’s output.
5. Use additional cells to pull data for multiple symbols simultaneously.

Parameters Explained

Example Usage

Basic Examples

1. =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value("AAPL")
   • Retrieves Apple’s consensus EPS estimates from 30 days ago.
   • If data is unavailable or the symbol is wrong, Excel will display “NA.”

2. =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value("MSFT")
   • Returns Microsoft’s 30-day-old EPS estimate data for a quick side-by-side comparison with Apple.

3. =EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value(A1)
   • If cell A1 contains “GOOG,” the function fetches Google’s 30-day-old EPS estimates.
   • This allows you to dynamically reference cells for flexible data retrieval.

Advanced Scenarios

• Portfolio Comparison: Suppose you have a list of ticker symbols in Column A. You can create a new column that calculates 30-day old consensus EPS for each symbol and compares it with current estimates to see the trend over time.
• Custom Analysis with Other Excel Functions: Combine this function with built-in Excel functions like AVERAGE or VLOOKUP to build custom dashboards. For instance, you could track average consensus EPS across multiple symbols or highlight changes larger than a specified threshold.
• Trading Strategy Development: Incorporate these historical estimates into your backtesting workflow to see how the market’s analyst consensus has shifted before earnings announcements.

Common Questions and Troubleshooting

• “NA” Return:

• Check if your symbol is typed correctly.
• Verify that your MarketXLS license is active.
• The data might simply be unavailable for certain less-followed stocks.

• “Refreshing” Return:

• Indicates MarketXLS is updating or fetching the data. The cell’s value will change once the refresh completes.

• Making Sure You Have the Right Symbol:

• Remember that some securities use a slightly different format or suffix. If you’re unsure, confirm the official ticker on a quotes page.

• Edge Cases:

• Symbols that are newly listed or thinly traded may not have consensus estimates.
• Very recent corporate actions (like splits or name changes) may temporarily disrupt data.

By using the EarningsEstimates_consensusEpsEstimatesTrends_days30Ago_fr2_value function in MarketXLS, you’ll have a clear snapshot of analyst EPS expectations from 30 days ago right inside Excel—perfect for spotting changing sentiment, validating investment ideas, or building advanced trading model workflows.