Cost In Excess (Historical) Formula in Excel

Cost In Excess (Historical) in Excel with MarketXLS retrieves historical cost data associated with ongoing projects that have not yet been invoiced to customers. This formula helps analysts, accountants, and investors to quickly access accumulated costs for the specified historical time frame.

Understanding Cost In Excess (Historical)

• Purpose and Use Cases
  Use this function to evaluate past project costs that exceed billings, revealing insights into how funds are allocated and impacting potential profit/loss outcomes.

• Key Benefits

  • Quickly retrieve historical unbilled cost data within Excel.
  • Ideal for tracking project progress over quarters or years.
  • Helps in accurate historical financial analysis.

• When to Use
  Apply this formula when you need to analyze or compare your ongoing project costs historically. It’s particularly useful in industries with long-term project engagements (e.g., construction, manufacturing).

Syntax and Parameters

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

Return Value
• Returns a numeric value representing the cost in excess of billings for the specified historical period.
• Displays NA if the symbol is invalid, license is not valid, or an internal error occurs.

?? Note: If the required historical data is not available, the function may return “NA”.

Examples and Usage

Below are practical ways to use the hf_Cost_in_Excess formula in Excel:

1. Basic Lookup for a Specific Year

   =hf_Cost_in_Excess("MSFT", 2022)

   Retrieves cost in excess data for Microsoft in the year 2022 (defaulting to quarter 1).

2. Specify Year and Quarter

   =hf_Cost_in_Excess("MSFT", 2022, 2)

   Gets cost in excess data for the second quarter of 2022.

3. Trailing Twelve Months (TTM)

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

   Returns the trailing twelve months value from Q3 of 2022.

4. Using Last Quarter (LQ) and Offsets

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

   Fetches cost in excess data for the last reported quarter and the quarter preceding it.

5. Using Last Year (LY) and Offsets

   =hf_Cost_in_Excess("MSFT", "ly")
   =hf_Cost_in_Excess("MSFT", "ly-1")

   Retrieves historical cost in excess for the last year and, optionally, the previous last year.

6. Last 12 Months (LT) and Offsets

   =hf_Cost_in_Excess("MSFT", "lt")
   =hf_Cost_in_Excess("MSFT", "lt-1")

   Gets data for the last 12 months and for the preceding 12-month period.

? Pro Tip: Use cell references for the Symbol or Year parameters to automatically adjust the formula when values change.

Adapting Date Inputs

Though this function primarily uses strings for Year and optional placeholders, you can still derive the Year from a date cell if needed:

1. Cell references:

   =hf_Cost_in_Excess(A2, YEAR(B2))

   Here, A2 is the cell containing the symbol, and B2 contains a date from which we extract the year.

2. Convert date to string with TEXT:

   =hf_Cost_in_Excess("MSFT", TEXT(C2,"yyyy"))

   Extracts the year part from a date in cell C2.

Common Questions

1. Why am I getting NA results?

   • Symbol may be invalid.
   • Period requested might not have data.
   • License could be invalid or expired.

2. How does the function handle non-numeric data?
   The function returns NA if it encounters non-numeric data where numeric data is expected.

3. Does the function support different currencies?
   This formula retrieves cost in excess data as reported; any currency conversions are handled within the source data if available.

4. What about performance for big spreadsheets?

   • MarketXLS caches certain data to improve performance.
   • Minimize excessive calls by using cell references to reduce redundant calculations.

?? Note: Always ensure your MarketXLS license is valid and your symbols are correct to avoid unexpected “NA” returns.

• Related historical fundamentals functions:
  • Revenue (Historical): Evaluate total revenue.
  • Cost Of Revenue (Historical): Analyze the cost of revenue.
  • Gross Profit (Historical): Inspect gross profit trends.
  • R & D Expenses (Historical): Examine research and development expenditure.
  • Selling General and Administrative Expense (Historical): Track overhead and administrative costs.

Use Cost In Excess (Historical) alongside these related functions to gain a complete perspective of a company’s financials over time.