Intangibles As Percentage Book Value (Historical) Formula in Excel
Understanding Intangibles As Percentage Book Value (Historical)
The Intangibles As Percentage Book Value (Historical) formula helps you quickly retrieve the proportion of intangible assets relative to a company’s book value for a given period. This can be especially useful for:
- Evaluating a company's intangible assets and how they stack up against its book value.
- Gaining insights into asset composition for valuation purposes.
- Historical trend analysis of intangible asset changes over time.
? Pro Tip: Use this formula alongside other historical fundamental metrics to develop a more comprehensive view of a company’s financial health.
Syntax and Parameters
Use the formula in Excel as shown below:
=hf_Intangibles_as_Percentage_Book_Value(Symbol, year, [quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol | The security ticker symbol (stocks, indices, options, crypto, etc.). | Yes | "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT" |
year | The specific year or a relative value like "ly" (last year), "ly-1", etc. | Yes | "2022", "ly", "ly-1" |
quarter | The quarter number (1, 2, 3, 4), or a relative value like "lq" (last quarter), "lq-1", etc. | No | "2", "lq", "lq-1" |
TTM | Set to "TTM" for trailing twelve months, or leave blank for standard period data. | No | "TTM" |
?? Note: If an invalid symbol is used or the data is unavailable, the formula returns "NA".
Return Value
• Returns a numeric value representing the percentage of intangible assets relative to book value.
• If no valid data is found, it returns "NA".
Special Cases and Limitations
- The function relies on historical data availability; if data is missing for the specified period, "NA" is returned.
- Performance can vary depending on the volume of requests and network conditions.
Examples and Usage
Below are several ways to use the formula. Replace "MSFT" with any supported symbol, including indices, options, or crypto.
-
Basic usage for an entire year:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", 2022)
Retrieves the intangibles as a percentage of book value for 2022.
-
Specifying a quarter:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", 2022, 2)
Retrieves the percentage for Q2 of 2022.
-
Trailing twelve months (TTM) data:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", 2022, 3, "TTM")
Retrieves TTM data from Q3 of 2022.
-
Relative periods for quick year/quarter references:
» Last Quarter:=hf_Intangibles_as_Percentage_Book_Value("MSFT", "lq")
» Last Quarter minus one:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", "lq-1")
» Last Year:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", "ly")
? Pro Tip: Combine with Excel date references or formulas if you track periods dynamically. For instance, you could place a year in cell A2 and reference it:
=hf_Intangibles_as_Percentage_Book_Value("MSFT", A2)
Common Questions
1. What if I get "NA"?
"NA" typically indicates invalid parameters, unsupported symbols, or unavailable data for that period. Check spelling, symbol format, and ensure the specified year or quarter has reported data.
2. Can I use text references for dates?
While this function primarily uses year and quarter, you can reference dates by converting them to the required format or by leveraging relative period notations (e.g., "ly", "lq").
3. Are there any performance considerations?
When retrieving multiple historical data points, performance may vary based on network conditions and the volume of requests. Cache frequently used calls or pause recalculation to improve performance.
4. What are related historical metrics to combine with?
- Revenue (Historical)
- Cost Of Revenue (Historical)
- Gross Profit (Historical)
- R & D Expenses (Historical)
- Selling General and Administrative Expense (Historical)
?? Note: Consider pairing these metrics together for deeper financial analysis within MarketXLS.
By incorporating the Intangibles As Percentage Book Value (Historical) formula into your workflow, you can quickly gauge the role intangible assets play in a company’s valuation and compare it over multiple time frames.