Inventory (Historical) Formula in Excel

Inventory (Historical) is a powerful Excel formula provided by MarketXLS that helps you analyze a company's inventory levels over different historical periods. By understanding how much inventory a company holds, you gain insights into its potential revenue generation, production efficiency, and overall operational health.

Understanding Inventory (Historical)

  • Purpose: Helps measure a company’s goods available for sale and raw materials used for producing those goods.
  • Key Benefits:
    • Evaluates potential revenue generation.
    • Assesses operational efficiency and management of stock levels.
    • Aids fundamental analysis for investment and accounting decisions.
  • When to Use:
    • Analyzing seasonal inventory fluctuations.
    • Assessing the company’s operational efficiency over time.
    • Making informed financial decisions based on historical inventory trends.

Syntax and Parameters

=hf_Inventory(Symbol, year, [quarter], [TTM])
Parameter Description Required Example
Symbol The security identifier (stock, index, option, or crypto). Yes "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT"
year The specific year or special code (e.g., "lq", "ly", "lt") indicating last quarter/year/TTM. Yes "2024", "lq", "ly", "lt"
quarter The quarter of the year (1 to 4). If omitted, defaults to "1" (Q1). No "2"
TTM Use "TTM" for trailing twelve months calculation (leave blank if not needed). No "TTM"

Return Value:
Returns a numeric value representing the company’s inventory for the given period or "NA" if the data is unavailable or your MarketXLS license does not cover historical fundamentals.

?? Note: This formula requires a subscription for historical fundamental data. If you do not have the necessary subscription, the formula may return "NA."

Examples and Usage

Below are common scenarios to help you get started with the Inventory (Historical) formula:

  1. Basic Yearly Inventory

    =hf_Inventory("MSFT", "2022")

    Retrieves Microsoft’s inventory for the year 2022.

  2. Quarter-Specific Inventory

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

    Retrieves inventory for the second quarter of 2022.

  3. Trailing Twelve Months (TTM)

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

    Retrieves the trailing twelve-month inventory figure starting from the third quarter of 2022.

  4. Offset Codes for Last Quarter/Year

    • Last Quarter:
      =hf_Inventory("MSFT", "lq")
    • Last Quarter Minus One:
      =hf_Inventory("MSFT", "lq-1")
    • Last Year:
      =hf_Inventory("MSFT", "ly")
    • Last 12 Months:
      =hf_Inventory("MSFT", "lt")

? Pro Tip: You can also use cell references or Excel date functions:
• By cell reference:

=hf_Inventory(A1)

(Where A1 contains a symbol like "MSFT")
• By direct date:

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

• Using Excel date functions:

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

Common Questions

  1. What if the formula returns "NA"?

    • Ensure your MarketXLS historical data subscription is valid.
    • Verify the symbol or parameters.
    • Double-check internet connectivity for real-time data calls.
  2. Are there performance considerations?

    • Each call may fetch data from an external source; large batches of formulas can increase calculation time.
    • Consider limiting recalculation frequency or using fewer calls.
  3. Does this formula work for international tickers?

    • Yes, as long as the symbol is recognized by MarketXLS and you have the appropriate data plan.
  4. Can I use it for fundamental analysis over multiple years?

    • Absolutely. Combine different year and quarter parameters or use TTM to analyze long-term trends in a company’s inventory levels.
  5. Can the formula handle symbols like indices, options, or crypto?

    • Yes, you can use "^SPX" for the S&P 500 index, "@MSFT 110122C00020000" for options, and "BTCUSD:DEFAULT" for cryptocurrencies.

?? Note: This documentation addresses usage of the Inventory (Historical) formula only. For other related historical fundamental functions, see:

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