Normalized Income Per Employee (Historical) Formula in Excel

Get deeper insights into a company’s financial performance by examining its normalized income per employee. This Excel formula, provided by MarketXLS, allows you to extract historical income data adjusted for nonrecurring charges or gains. Using this function can help you make more informed investment decisions, especially when comparing trends period-over-period.

Understanding Normalized Income Per Employee (Historical)

• Purpose and Use Cases

  • Helps you evaluate a company’s adjusted income per employee over specific historical periods.
  • Reveals changes in operational efficiency when tracked across multiple quarters or years.
  • Useful for comparing peer companies or benchmarking across industries.

• Key Benefits

  • Provides a clearer picture of a company’s core earnings by removing one-time events.
  • Useful for trending and historical analysis in Excel directly.
  • Seamless integration with MarketXLS for live or near-time data.

• When to Use

  • Perform fundamental analysis on a company’s workforce efficiency.
  • Compare normalized income across multiple companies to identify market opportunities.
  • Track how income per employee evolves over different historical periods (quarterly, annual, or trailing twelve months).

Syntax and Parameters

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

?? Note: If an invalid symbol or license level is detected, the function returns "NA". You may also see "NA" if data is unavailable for the specified period.

Return Value

• Typically returns a numeric value representing the normalized (adjusted) income per employee.
• Returns "NA" if data is not found, parameters are invalid, or other errors occur.

Date Inputs

You can supply date inputs in various ways for your analysis (if needed in advanced scenarios or other date-based references):

1. Cell references:

   =hf_Normalized_Income_per_Employee(A1, 2022)

2. Direct dates:

   =hf_Normalized_Income_per_Employee("2024-03-15", 2022)

3. Excel date functions:

   =hf_Normalized_Income_per_Employee(TEXT(A1,"yyyy-mm-dd"), "LY")

Examples and Usage

Below are some practical examples to illustrate how you can use the formula:

=hf_Normalized_Income_per_Employee("MSFT", 2022)

Returns the normalized income per employee for Microsoft for the year 2022.

=hf_Normalized_Income_per_Employee("MSFT", 2022, 2)

Returns the value for the second quarter of 2022.

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

Returns the trailing twelve months value ending in Q3 of 2022.

=hf_Normalized_Income_per_Employee("MSFT", "LQ")

Retrieves the most recent quarter’s data for Microsoft.

=hf_Normalized_Income_per_Employee("MSFT", "LY-1")

Retrieves the value from the year before last.

? Pro Tip: You can also use this function to compare multiple symbols side by side in your Excel worksheet for quick reference.

Common Questions

1. Why am I getting "NA"?

   • You may have provided an invalid symbol, or your MarketXLS subscription doesn’t support this feature. Check your symbol and license level.

2. How often is the data updated?

   • MarketXLS frequently updates fundamental data. However, company filings may influence the timeliness of new data points.

3. Can I use this function for international stocks or crypto symbols?

   • Yes, you can use formats like "BTCUSD:DEFAULT" or indices like "^SPX". Check MarketXLS documentation for availability of specific regions.

4. Does this function handle performance for large data sets?

   • MarketXLS is designed to handle numerous function calls. However, if you notice slowness, consider batching your calculations or optimizing your spreadsheet design.

5. Are there related functions for deeper analysis?

   • Yes! Explore formulas like hf_Revenue, hf_Gross_Profit, hf_R_and_D_Expenses, and more to expand your fundamental analysis in Excel.

?? Note: Always confirm that your parameters (year, quarter, TTM) reflect the time period you need, especially when analyzing last quarter (“LQ”) or last 12 months (“LT”).

• Related Functions:
  • Revenue (Historical) – total revenue for a specified historical period
  • Cost Of Revenue (Historical) – total cost of revenue for a specified period
  • Gross Profit (Historical) – company’s gross profit over time
  • R & D Expenses (Historical) – research and development expenses for a specified period
  • Selling General and Administrative Expense (Historical) – SG&A expenses for a specified period