Sales Per Dollar Receivables (Historical) Formula in Excel

Looking to quickly measure how efficiently a company collects its receivables? The Sales Per Dollar Receivables (Historical) formula in Excel with MarketXLS helps you track how many dollars of sales are generated for each dollar of receivables, an important efficiency indicator. Use this function to better understand trends in collections and overall financial health.

Understanding Sales Per Dollar Receivables (Historical)

Sales Per Dollar Receivables (Historical) is a powerful Excel function provided by MarketXLS. It is designed to:

• Give insight into how effectively a company turns its receivables into sales.
• Help investors and analysts evaluate credit and collection policies.
• Aid in historical trend analysis to see how receivables efficiency changes over time.

Use this formula when you want to:

• Compare sales per receivable dollar across different periods.
• Identify collection weaknesses or areas of potential improvement.
• Enhance overall financial ratio analysis by adding a key operational insight.

Syntax and Parameters

Below is the official syntax for the MarketXLS Sales Per Dollar Receivables (Historical) function:

=hf_Sales_per_Dollar_Receivables(Symbol, Year, [Quarter], [TTM])

?? Note: If the specified symbol is invalid or your subscription license is not valid, the function returns "NA".

Return Value

• Returns a numeric value representing the dollar amount of sales generated per dollar of receivables.
• If data is unavailable or the request fails, the function outputs "NA".

Special Cases and Limitations

• When using special references like "ly", "lq", or "lt", MarketXLS automatically determines the appropriate period.
• The function relies on up-to-date data from MarketXLS servers; ensure your internet connection is stable.
• The result may slightly vary based on the cutoff times for financial statement updates.

? Pro Tip: For better performance in large spreadsheets, limit the number of calls by storing results in dedicated cells and reusing them in your formulas.

Examples and Usage

Below are concise examples illustrating how to use the function with different parameter formats:

1. Basic Yearly Usage:

   =hf_Sales_per_Dollar_Receivables("MSFT", 2022)

   Retrieves the value for Microsoft in the year 2022.

2. Using a Specific Quarter:

   =hf_Sales_per_Dollar_Receivables("MSFT", 2022, 2)

   Fetches the metric for the second quarter of 2022.

3. Trailing Twelve Months:

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

   Returns the trailing 12-month figure ending in the third quarter of 2022.

4. Last Quarter and Last Year References:

   =hf_Sales_per_Dollar_Receivables("MSFT", "lq")
   =hf_Sales_per_Dollar_Receivables("MSFT", "ly-1")

   • "lq" automatically uses data from the last reported quarter.
   • "ly-1" uses data from one year prior to the last reported year.

Referencing Dates

Even though this function uses a fiscal year rather than a date, you can reference cells or convert dates in various ways:

• Cell reference (if a cell contains a valid year):

  =hf_Sales_per_Dollar_Receivables("MSFT", A1)

• Direct date string (MarketXLS will parse out the year if appropriate):

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

• Using Excel date conversions:

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

Symbol Formats

• Regular stock symbol:

  =hf_Sales_per_Dollar_Receivables("MSFT", 2022)

• Index symbol:

  =hf_Sales_per_Dollar_Receivables("^SPX", 2022)

• Option symbol:

  =hf_Sales_per_Dollar_Receivables("@MSFT 110122C00020000", 2022)

• Cryptocurrency pair:

  =hf_Sales_per_Dollar_Receivables("BTCUSD:DEFAULT", 2023)

Common Questions

1. Why am I getting "NA" as a result?

   • The symbol may be invalid. Double-check your ticker.
   • Your MarketXLS license might be invalid or expired.
   • Data might not be available for the given year or quarter.

2. How do I compare multiple years?

   • Create separate cells for each year’s function call. Then reference them in your comparison or chart.

3. Does this function support intraday updates?

   • Fundamental data typically updates quarterly or annually. Real-time or intraday is rare for fundamental metrics.

4. Is there a performance impact when using this on many rows?

   • Yes, each call fetches data from MarketXLS servers. Cache results in helper cells or consider grouping calculations.

?? Note: For more thorough historical data analysis, leverage other MarketXLS historical fundamentals like Revenue (Historical) or Gross Profit (Historical) in conjunction with this function.

Use the Sales Per Dollar Receivables (Historical) Formula in tandem with other financial metrics to get a holistic view of a company’s operational efficiency. This function, when combined with other MarketXLS fundamentals, can significantly streamline your financial analysis process.