Weighted Average Share Growth (Historical) Formula in Excel

Weighted Average Share Growth (Historical) is a powerful Excel formula provided by MarketXLS that helps you calculate the growth of a company’s outstanding shares over a specified reporting period. This function is particularly useful for investors and analysts looking to understand equity dilution and fundamental performance trends over time. By incorporating historical data, you can better assess changes in share counts, key ownership structures, and overall corporate actions.

Understanding Weighted Average Share Growth (Historical)

Purpose and Use Cases

• Evaluates how a company’s outstanding shares have grown or declined over a specific period.
• Assists in measuring share dilution, splits, buybacks, or new issues of equity.
• Helps in analyzing equity trends for better long-term financial forecasts.

Key Benefits

• Provides quick insight into share structure trends.
• Supports fundamental analysis by integrating with other historical data.
• Facilitates more informed investment or funding decisions.

When to Use

• When comparing year-over-year changes in outstanding shares.
• When analyzing the impact of corporate actions (stock splits, buybacks).
• When performing advanced financial modeling that depends on share counts.

Syntax and Parameters

Use the hf_Weighted_Average_Share_Growth function in Excel as follows:

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

Return Value

• Returns a numeric value representing the weighted average share growth for the specified period.
• If an invalid symbol or license restriction is detected, the function returns "NA".

?? Note: Make sure your MarketXLS subscriptions and data licenses are valid and include historical fundamentals data to use this function.

Examples and Usage

Below are some practical ways to call the hf_Weighted_Average_Share_Growth formula:

1. By referencing a cell for the symbol or date:

   =hf_Weighted_Average_Share_Growth(A1, B1)

2. By passing direct strings for the parameters:

   =hf_Weighted_Average_Share_Growth("MSFT", 2022)

3. Including the quarter parameter:

   =hf_Weighted_Average_Share_Growth("MSFT", 2022, 2)

4. Using TTM for trailing 12 months:

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

5. Using MarketXLS special formats for historical periods:
   • Last quarter (lq):

     =hf_Weighted_Average_Share_Growth("MSFT", "lq")

   • Last quarter minus one (lq-1):

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

   • Last year (ly):

     =hf_Weighted_Average_Share_Growth("MSFT", "ly")

   • Last year minus one (ly-1):

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

   • Last 12 months (lt):

     =hf_Weighted_Average_Share_Growth("MSFT", "lt")

   • Last 12 months minus one (lt-1):

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

? Pro Tip: You can input dates in different ways:
• A cell reference containing a date: =hf_Weighted_Average_Share_Growth(A1)
• A direct date string: =hf_Weighted_Average_Share_Growth("2024-03-15")
• An Excel date function: =hf_Weighted_Average_Share_Growth(TEXT(A1,"yyyy-mm-dd"))

Common Questions

1. Why am I getting "NA" as a result?

• This typically indicates an invalid symbol, insufficient subscription level, or missing historical data.

2. Can I use this formula with international securities or cryptos?

• Yes. As long as MarketXLS recognizes the symbol, you can use "BTCUSD:DEFAULT" or other supported symbols.

3. How frequently is the data updated?

• MarketXLS updates data on its schedule. Ensure your data feed is active and refreshed for the latest information.

4. Are there performance concerns with multiple function calls?

• Repeatedly calling large sets of historical data can take extra time. Consider batching calls or using Excel’s calculation modes for efficiency.

For deeper insights into historical fundamentals, you can also explore these related MarketXLS functions:

• Revenue (Historical): Analyzes total revenue over a specific historical period.
• Cost Of Revenue (Historical): Evaluates the direct costs associated with generating revenue.
• Gross Profit (Historical): Gives insight into the company’s profitability before operating expenses.
• R & D Expenses (Historical): Tracks the company’s investment in research and development.
• Selling General and Administrative Expense (Historical): Breaks down overhead and operational costs.

?? Note: Always verify your MarketXLS subscription status and license to ensure uninterrupted access to historical data.