Revenue To Assets (Historical) Formula in Excel

Gain deeper insights into a company’s efficiency using the Revenue To Assets (Historical) formula in Excel with MarketXLS. This powerful function retrieves historical data and calculates how much revenue is generated per unit of the company’s total assets. By understanding this ratio, investors and analysts can gauge operational effectiveness over specific periods.

Understanding Revenue To Assets (Historical)

• Purpose: The Revenue To Assets (Historical) metric reveals how effectively a company utilizes its assets to generate revenue over a selected historical timeframe.
• Key Benefits:
  • Evaluates efficiency over different quarters or years.
  • Allows comparison of companies or industries based on asset utilization.
  • Offers insights for tracking performance trends (e.g., quarter-over-quarter, trailing twelve months).
• When to Use:
  • Analyzing how effectively a company uses its asset base year-to-year.
  • Comparing across industries or peers to identify under- or over-performers.
  • Assessing trends before making trading or investment decisions.

Syntax and Parameters

Use the function in Excel as shown below:

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

Return Value
• Returns a numeric value representing the revenue-to-assets ratio for the specified period.
• Returns "NA" if the data is unavailable or the function encounters an error (e.g., invalid license or invalid symbol).

?? Note: The function relies on real-time or historical data from MarketXLS servers. Performance may vary based on your connection and plan limits.

Examples and Usage

Below are some practical examples showing different ways to reference dates and symbols:

1. By Cell Reference and Regular Symbol

   =hf_Revenue_to_Assets(A1, B1)

   Where A1 contains "MSFT" and B1 contains "2023".

2. Direct Year Input

   =hf_Revenue_to_Assets("MSFT", "2022")

   Retrieves the ratio for the 2022 fiscal year.

3. Quarterly Data Request

   =hf_Revenue_to_Assets("MSFT", "2022", 2)

   Fetches the Q2 2022 revenue-to-assets ratio.

4. TTM (Trailing Twelve Months) from a Specific Quarter

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

   Captures the trailing twelve months ratio from Q3 2022.

5. Using Relative Year (ly/lq/lt)

   =hf_Revenue_to_Assets("MSFT", "ly")

   Returns the last year’s revenue-to-assets value.

6. Date Handling Using Excel Functions

   • Direct date in the formula:

     =hf_Revenue_to_Assets("MSFT", "2024-03-15")

   • Referencing a date cell A1:

     =hf_Revenue_to_Assets("MSFT", A1)

   • Converting an existing cell date to the correct format:

     =hf_Revenue_to_Assets("MSFT", TEXT(A1,"yyyy-mm-dd"))

? Pro Tip: Combine relative periods like "lq" (last quarter) or "ly" (last year) with the TTM option to quickly compare the company’s rolling performance over time.

Common Questions

1. Why do I get "NA"?

   • The symbol might be invalid.
   • The data might be unavailable for the specified date range (e.g., future dates).
   • Your MarketXLS license plan may not support this feature.

2. Can I use it for cryptocurrencies or indices?

   • Yes. The Symbol parameter supports multiple formats like "BTCUSD:DEFAULT" or "^SPX" for indices.

3. How do I improve performance if I am pulling multiple rows of data?

   • Ensure a stable internet connection.
   • Avoid recalculating the entire worksheet repeatedly.
   • Use Excel’s calculation settings or break larger requests into batches.

4. Why should I track revenue to assets over time?

   • This ratio helps you assess whether a company’s operations are scaling effectively.
   • Spot improvements or declines to make informed investment decisions.

5. Are there any limitations?

   • Historical data availability depends on your MarketXLS subscription.
   • Some data fields might vary for certain international tickers.

Use the Revenue To Assets (Historical) formula in Excel with MarketXLS to quickly evaluate a company’s efficiency in generating revenue from its assets. By combining different parameters and date formats, you can tailor the analysis to your specific research or investment strategy.