Inventories Adjustments And Allowances (Historical) Formula in Excel

Gain insights into a company's inventory valuation changes by using the Inventories Adjustments And Allowances (Historical) formula in Excel with MarketXLS. This powerful function helps you track any adjustments or policy changes in inventory, enabling better financial analysis and decision-making.

Understanding Inventories Adjustments And Allowances (Historical)

• The Inventories Adjustments And Allowances (Historical) formula retrieves values related to changes in a company’s inventory recognition policy over a specified historical period.
• It is especially useful for fundamental analysis, trend evaluation, and comparing across different reporting periods.
• Use this function when assessing how a company manages its inventories, which can impact overall profitability and financial health.

Syntax and Parameters

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

? Pro Tip:
You can use various date inputs for the year parameter, such as referencing a cell (e.g., =hf_Inventories_Adjustments_and_Allowances("MSFT", A1)), typing the date directly (e.g., =hf_Inventories_Adjustments_and_Allowances("MSFT", "2024-03-15")), or using the Excel TEXT function (e.g., =hf_Inventories_Adjustments_and_Allowances("MSFT", TEXT(A1,"yyyy-mm-dd"))).

?? Note:
If the symbol is invalid or your MarketXLS license does not support this function, the formula will return "NA".

Return Value

• The formula typically returns a numeric value reflecting the company's inventory adjustments and allowances.
• If data is not available or there is an error, it returns "NA".

Examples and Usage

Below are some practical ways to call this function:

• By symbol type:

  • Regular stock:

    =hf_Inventories_Adjustments_and_Allowances("MSFT", "2022")

  • Index:

    =hf_Inventories_Adjustments_and_Allowances("^SPX", "2022")

  • Option:

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

  • Crypto:

    =hf_Inventories_Adjustments_and_Allowances("BTCUSD:DEFAULT", "2022")

• By relative date period:

  1. "lq" for last quarter:

     =hf_Inventories_Adjustments_and_Allowances("MSFT", "lq")

  2. "ly" for last year:

     =hf_Inventories_Adjustments_and_Allowances("MSFT", "ly")

  3. "lt" for last twelve months:

     =hf_Inventories_Adjustments_and_Allowances("MSFT", "lt")

• Specifying quarter and TTM:

  =hf_Inventories_Adjustments_and_Allowances("MSFT", "2022", 2)
  =hf_Inventories_Adjustments_and_Allowances("MSFT", "2022", 3, "TTM")

? Pro Tip:
Combine multiple parameters to compare historical trends across different quarters and years to get a comprehensive view of how inventory policies affect profitability over time.

Common Questions

1. What if the formula returns “NA”?

   • Verify the ticker symbol validity and ensure your MarketXLS subscription includes historical fundamental data.
   • Confirm you have entered valid parameters such as an existing year or quarter.

2. Does using “TTM” impact performance?

   • Calculating trailing twelve months data might be slightly more resource-intensive, but MarketXLS handles this efficiently for standard usage cases.

3. How do I interpret the returned value?

   • A higher or unexpected change might indicate significant inventory policy shifts, potentially impacting cost of goods sold and profitability. Compare with other fundamental metrics (like revenue, gross profit) for context.

4. Can I use dynamic references to automate the analysis?

   • Absolutely. Reference cells for year or use Excel functions like TEXT to seamlessly update analysis as new data becomes available.

?? Note:
Consistent usage of the correct year and quarter across related fundamental formulas (e.g., =hf_Revenue, =hf_Gross_Profit, etc.) ensures cohesive and accurate financial analysis in Excel with MarketXLS.