Increase Decrease In Receivables (Historical) Formula in Excel

Increase Decrease In Receivables (Historical) is an Excel formula provided by MarketXLS that helps you retrieve the difference in accounts receivable for a company over a specified historical period. This function is especially useful for analyzing changes in a company’s financial health across different quarters or years.

Understanding Increase Decrease In Receivables (Historical)

• Purpose: To quickly identify how much a company's receivables have increased or decreased over a specific timeframe.
• Key Benefits:
  • Helps in tracking trends in receivables.
  • Useful for evaluating cash flow impacts.
  • Assists in comparing performance across multiple periods.
• When to Use:
  • Performing quarterly or yearly financial analysis.
  • Assessing a company’s liquidity and operational efficiency.
  • Comparing historical financial statements to current data.

Syntax and Parameters

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

? Pro Tip: You can use cell references or Excel functions for the year parameter:

• =hf_Increase_Decrease_in_Receivables("MSFT", A1)
• =hf_Increase_Decrease_in_Receivables("MSFT", TEXT(A1,"yyyy"))
• =hf_Increase_Decrease_in_Receivables("MSFT", "2024-03-15")

Return Value

• Returns a numeric value indicating the change in receivables for the specified period.
• Returns "NA" if the symbol is invalid, if data is unavailable, or if the user’s license is not valid.

?? Note: Since each call fetches data from MarketXLS servers, large volume requests in quick succession may affect performance.

Examples and Usage

Below are some practical examples demonstrating how to use the formula in different scenarios:

1. Basic Yearly Lookup

   =hf_Increase_Decrease_in_Receivables("MSFT", 2022)

   Retrieves the increase or decrease in receivables for Microsoft in the year 2022.

2. Quarterly Lookup

   =hf_Increase_Decrease_in_Receivables("MSFT", 2022, 2)

   Retrieves the increase or decrease in receivables for the 2nd quarter of 2022.

3. Trailing Twelve Months

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

   Retrieves the TTM value for 3rd quarter 2022.

4. Special Keyword Lookups

   • Last Quarter:

     =hf_Increase_Decrease_in_Receivables("MSFT","lq")

   • Last Quarter Minus One:

     =hf_Increase_Decrease_in_Receivables("MSFT","lq-1")

   • Last Year:

     =hf_Increase_Decrease_in_Receivables("MSFT","ly")

   • Last 12 Months:

     =hf_Increase_Decrease_in_Receivables("MSFT","lt")

? Pro Tip: Use these special shortcuts like "lq", "ly", or "lt" to easily retrieve dynamic data without changing the year or quarter values manually each time.

Common Questions

1. What happens if the symbol is invalid or the data is unavailable?

The formula returns "NA" in cases of invalid symbols, unavailable data, or if the license is not valid.

2. How do I improve performance when making many formula calls?

Consider grouping your symbols in fewer sheets or reducing the frequency of calls. Large volumes of API requests can slow down your spreadsheet.

3. Can I use this formula for indices, options, or cryptocurrencies?

Yes. You can pass index symbols like "^SPX", options like "@MSFT 110122C00020000", and cryptos like "BTCUSD:DEFAULT" as the Symbol parameter.

4. Are historical restatements or revisions considered in the data?

In most cases, MarketXLS sources updated financials as companies revise them. The returned values should reflect the latest publicly available data.

?? Note: For in-depth historical revisions, always cross-check with official filings or other reliable financial databases.

Related Functions:

• Revenue (Historical)
• Cost Of Revenue (Historical)
• Gross Profit (Historical)
• R & D Expenses (Historical)
• Selling General and Administrative Expense (Historical)

Use these related functions to gain deeper financial insights and perform comprehensive fundamental analysis within Excel.