Price book indicator (Historical) Formula in Excel

Are you looking to analyze a company’s historical price-to-book indicator directly in Excel? The Price book indicator (Historical) formula offered by MarketXLS simplifies this task by pulling financial fundamentals straight into your spreadsheet. Use this powerful Excel function to gain insights into a company’s price-to-book history, identify growth patterns, and make informed investment decisions.

Understanding Price book indicator (Historical)

• Purpose: The price book indicator (historical) is designed to measure a company’s share price against its book value over a given historical period.
• Key Benefits:
  • Helps gauge if a stock might be overvalued or undervalued by comparing the price-to-book ratio across different years or quarters.
  • Allows quick integration of fundamental data into your Excel workflows without manual data entry.
• When to Use: Use this function to track a firm’s performance over time, identify trends, and compare historical ratios across multiple companies or market indices.

Syntax and Parameters

Use the hf_Price_Book_Indicator function in Excel as follows:

=hf_Price_Book_Indicator(symbol, year, [quarter], [TTM])

?? Note: The function returns "NA" if the provided symbol is invalid, the user license is inactive, or if an internal error occurs.

Return Value
• A numeric value representing the historical price-to-book indicator.
• If the data is not available, "NA" is returned.

? Pro Tip: This function relies on live data from MarketXLS APIs. Ensure you have an active MarketXLS license and a stable internet connection.

Examples and Usage

Below are some common ways to use the hf_Price_Book_Indicator formula:

1. Basic call with a stock and specified year:

   =hf_Price_Book_Indicator("MSFT", 2022)

   Returns the price book indicator for Microsoft in 2022.

2. Specifying a quarter:

   =hf_Price_Book_Indicator("MSFT", 2022, 2)

   Returns the price book indicator for Microsoft, 2nd quarter of 2022.

3. Trailing Twelve Months (TTM) example:

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

   Returns TTM data for Microsoft from the 3rd quarter of 2022.

4. Using relative periods for the last quarter (lq) or last year (ly):

   =hf_Price_Book_Indicator("MSFT", "lq")
   =hf_Price_Book_Indicator("MSFT", "ly-1")

   Returns the price book indicator for Microsoft’s last quarter and last year minus one period, respectively.

5. Using cell references for the year parameter (example: A1 contains the year):

   =hf_Price_Book_Indicator("MSFT", A1)

   If cell A1 contains "2023", this fetches data for year 2023.

6. Incorporating Excel date functions (convert date to year text):

   =hf_Price_Book_Indicator("MSFT", TEXT(A1,"yyyy"))

   Converts a date in A1 to a four-digit year string.

Common Questions

1. What if I get “NA”?

• Check your symbol format and subscription status. The function will return "NA" if the symbol is invalid, the data is unavailable, or you have an inactive license.

2. Can I use this function with historical options data or crypto symbols?

• Yes, you can supply options symbols like @MSFT 110122C00020000 or crypto symbols like "BTCUSD:DEFAULT" for expanded coverage.

3. Are there performance considerations?

• The function fetches data from MarketXLS APIs. Under normal conditions, data retrieval is rapid. Performance may vary if you query multiple symbols simultaneously.

4. How do I interpret the result?

• The returned value shows how the company’s share price compares to its book value. Higher numbers might indicate potential overvaluation, though other factors should also be considered.

?? Note: Always verify the returned dataset’s consistency. Historical fundamentals can be restated or updated over time, leading to possible revisions.

Use hf_Price_Book_Indicator to streamline your fundamental analysis directly in Excel and make more data-driven decisions with confidence.