Deposit Liabilities (Historical) Formula in Excel
Understanding Deposit Liabilities (Historical)
Deposit liabilities represent the money received by a bank from individuals or entities, which the bank is obligated to repay at a future date. In Excel, you can use the “Deposit Liabilities (Historical)” formula with MarketXLS to:
- Gain insights into how much a bank holds in client and customer deposits.
- Compare deposit liabilities across different time frames (quarters, years, TTM).
- Make informed decisions based on historical financial data.
? Pro Tip: Use this formula alongside other historical fundamentals (such as revenue or gross profit) to get a complete financial snapshot of a company.
Syntax and Parameters
Use the hf_Deposit_Liabilities
function in Excel with the following syntax:
=hf_Deposit_Liabilities(Symbol, year, [quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol |
Ticker symbol of the security. Accepts equities, indices, options, and cryptos. | Yes | "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT" |
year |
The specific year, or relative indicators like ly (last year), ly-1 (last year minus one). |
Yes | 2022, "ly", "lq-1", "lt-1" |
quarter |
The calendar quarter (1 to 4). If empty, defaults to 2. | No | 1, 2, 3, 4 |
TTM |
Trailing Twelve Months indicator. If "TTM" is provided, returns TTM data for the specified year-quarter. | No | "TTM" |
?? Note: The function returns NA if the symbol is invalid or the data is not available.
Return Value
• A numeric value representing the deposit liabilities for the specified symbol and period.
• Returns NA if data is unavailable or invalid arguments are provided.
Special Cases & Performance
- The formula may take slightly longer to calculate for large data sets or multiple function calls due to data retrieval.
- Symbol or date inputs must be valid and correctly formatted; otherwise, “NA” is returned.
Examples and Usage
Below are some practical examples demonstrating various ways to input dates and symbols:
-
Basic usage by year:
=hf_Deposit_Liabilities("MSFT", 2022)
Returns deposit liabilities for Microsoft in 2022 (using default quarter 2).
-
Specifying year and quarter:
=hf_Deposit_Liabilities("MSFT", 2022, 2)
Returns deposit liabilities for Microsoft in 2022, quarter 2.
-
Including the TTM parameter:
=hf_Deposit_Liabilities("MSFT", 2022, 3, "TTM")
Returns deposit liabilities for Microsoft in TTM format, ending Q3 2022.
-
Using relative references for historical data:
- Last Quarter
=hf_Deposit_Liabilities("MSFT","lq")
- Last Quarter Minus One
=hf_Deposit_Liabilities("MSFT","lq-1")
- Last Year
=hf_Deposit_Liabilities("MSFT","ly")
- Last 12 Months
=hf_Deposit_Liabilities("MSFT","lt")
- Last Quarter
Date Input Formats
You can also input dates in various ways:
- Using a cell reference:
=hf_Deposit_Liabilities(A1)
- Using direct dates:
=hf_Deposit_Liabilities("2024-03-15")
- Using an Excel date function:
=hf_Deposit_Liabilities(TEXT(A1,"yyyy-mm-dd"))
Common Questions
1. What if the function returns NA?
“NA” typically indicates:
- An invalid symbol or timeframe.
- The data is momentarily unavailable.
2. Can I use this formula for international symbols?
Yes, as long as MarketXLS supports the symbol. Check the MarketXLS documentation for regional listings.
3. Does the quarter parameter accept fiscal quarters?
It currently uses calendar quarters. For specialized usage (such as non-standard fiscal calendars), contact MarketXLS support.
4. How often is the data updated?
MarketXLS updates its data feeds periodically. Refer to MarketXLS documentation for specific refresh rates.
? Pro Tip: Combine “Deposit Liabilities (Historical)” with other financial metrics like “Revenue (Historical)” or “Gross Profit (Historical)” to gain deeper insights and improve your financial analysis.
Use the “Deposit Liabilities (Historical)” formula in Excel with MarketXLS to easily track and analyze a bank’s historical deposit liabilities for better financial decision-making. For more advanced insights, explore related functions like:
- Revenue (Historical)
- Cost of Revenue (Historical)
- Gross Profit (Historical)
- R & D Expenses (Historical)
- Selling General and Administrative Expense (Historical)
This comprehensive approach helps you stay on top of key financial metrics and supports well-informed investment or business strategies.