Net Income From Continuing Operations (Historical) Formula in Excel

Get accurate and up-to-date net income from continuing operations for a specific stock or index directly in Excel using the Net Income From Continuing Operations (Historical) function with MarketXLS. This formula provides quick insights into a company’s ongoing profitability by focusing on income from its core business activities.

Understanding Net Income From Continuing Operations (Historical)

Net income from continuing operations represents the profit a company generates from its primary operations, excluding any revenue or costs from discontinued segments. It’s a critical measure for:

• Evaluating a company’s core financial performance over time
• Comparing profitability trends across different periods (yearly, quarterly, or TTM)
• Making strategic investment decisions and fundamental analysis

? Pro Tip: Use this formula to quickly pull data for different periods (annual, quarterly, last quarter (lq), last year (ly), or last twelve months (lt)) so you can easily track a company’s performance in Excel.

Syntax and Parameters

Below is the syntax for using the hf_Net_Income_from_Continuing_Operations function in Excel:

=hf_Net_Income_from_Continuing_Operations(Symbol, year, [quarter], [TTM])

?? Note: If the function cannot retrieve the data (e.g., invalid symbol or license issues), the function returns "NA". If the data is non-numeric, the function also returns the text value or "NA".

Return Value

This function returns the net income from continuing operations for the selected period as a numeric value (double). If an error or invalid input is encountered, it returns "NA".

Examples and Usage

Here are some ways to use the Net Income From Continuing Operations (Historical) formula:

1. Using a cell reference for the date:

   =hf_Net_Income_from_Continuing_Operations(A1, A2)

   Where A1 contains the symbol (e.g., "MSFT") and A2 the year (e.g., 2022).

2. Specifying the date directly:

   =hf_Net_Income_from_Continuing_Operations("MSFT", "2022")

3. Using an Excel date function:

   =hf_Net_Income_from_Continuing_Operations("MSFT", TEXT(A1,"yyyy"))

4. Retrieving quarterly data:

   =hf_Net_Income_from_Continuing_Operations("MSFT", 2022, 2)

5. Getting TTM data:

   =hf_Net_Income_from_Continuing_Operations("MSFT", 2022, 3, "TTM")

6. Special notation for last periods:

   • Last quarter:

     =hf_Net_Income_from_Continuing_Operations("MSFT", "lq")

   • Last year minus 1:

     =hf_Net_Income_from_Continuing_Operations("MSFT", "ly-1")

   • Last 12 months:

     =hf_Net_Income_from_Continuing_Operations("MSFT", "lt")

? Pro Tip: You can combine these patterns to quickly compare data from consecutive quarters or consecutive years by using variations like "lq-1" or "ly-1".

Common Questions

Why do I get "NA" instead of a number?

You’ll get "NA" if:

• The symbol is invalid (not recognized by MarketXLS).
• Your MarketXLS license does not cover the needed data.
• There’s an internal error retrieving the data.

Can I use this function for international markets or cryptocurrencies?

Yes. Just enter the correct symbol format (e.g., "BTCUSD:DEFAULT" for cryptocurrencies). The function supports major global market tickers, options, indices, and more.

How can I speed up performance with multiple calls?

When you have a large number of formulas, consider:

• Using them on-demand or in smaller batches.
• Refreshing your spreadsheet less frequently.
• Checking your MarketXLS subscription plan for higher data refresh rates.

Does the formula handle forward-looking data?

No. This function strictly returns historical data. For forward-looking estimates or analyst projections, you would need a different MarketXLS function (if available).

?? Note: Always ensure your MarketXLS plugin is up to date to utilize new and improved data retrieval methods.

Use the Net Income From Continuing Operations (Historical) formula to quickly gather core profitability metrics in Excel. Combine it with other MarketXLS historical functions for comprehensive fundamental analysis and efficient financial modeling.