Interest Expense (Historical) Formula in Excel
Understanding Interest Expense (Historical)
Interest Expense (Historical) helps you retrieve a company's past interest expense values directly in Excel with MarketXLS. By leveraging MarketXLS’s historical fundamentals data, you can:
- Assess financing costs over different time periods
- Compare historical lending obligations across multiple companies or indices
- Improve your financial models with accurate historical datasets
Use this formula when you need precise insights into how much a company has spent on interest for specific or trailing periods.
Syntax and Parameters
=hf_Interest_Expense(Symbol, year, [quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol |
The ticker or identifier of the security. Supports stocks, indices, options, and crypto formats. | Yes | "MSFT", "^SPX", "@MSFT 110122C00020000", "BTCUSD:DEFAULT" |
year |
The specific reporting year. Can also use relative expressions like "ly" for last year, "lq" for last quarter, or direct date references. | Yes | "2022", "ly", "lq-1" |
quarter |
Calendar quarter of the year (1 to 4). Optional if you only need yearly data. | No | 1, 2, 3, 4 |
TTM |
Use "TTM" to return trailing twelve months data. Combined with quarter. | No | "TTM" |
Return Value
• The function typically returns a numeric value reflecting the interest expense.
• If data is unavailable or an error occurs, the function returns "NA" or a relevant error message.
?? Note: A valid MarketXLS historical fundamentals subscription is required. Otherwise, you may receive "NA" or a license error message.
Examples and Usage
Below are practical ways to use the hf_Interest_Expense
function:
-
By referencing a symbol and year:
=hf_Interest_Expense("MSFT", "2022")
Retrieves Microsoft’s interest expense for the year 2022.
-
By specifying a quarter:
=hf_Interest_Expense("MSFT", "2022", 2)
Returns Microsoft’s interest expense for Q2 of 2022.
-
With trailing twelve months (TTM):
=hf_Interest_Expense("MSFT", "2022", 3, "TTM")
Shows the trailing twelve months value from the third quarter of 2022.
-
Using last quarter or last year shortcuts:
=hf_Interest_Expense("MSFT", "lq") =hf_Interest_Expense("MSFT", "ly")
Fetches the value from the last reported quarter or last reported year, respectively.
-
Passing direct date references or combining with Excel date functions:
- Using a cell reference for year:
=hf_Interest_Expense("MSFT", A1)
- Using a direct date string:
=hf_Interest_Expense("MSFT", "2024-03-15")
- Using the TEXT function on a cell date:
=hf_Interest_Expense("MSFT", TEXT(A1,"yyyy-mm-dd"))
- Using a cell reference for year:
? Pro Tip: You can easily switch symbols between standard, index, option, or crypto formats based on your analysis needs.
Real-World Application
- Compare multiple companies’ interest expenses to gauge their debt repayment strategies.
- Evaluate cost trends before making investment decisions.
- Combine with other MarketXLS historical fundamentals to build comprehensive dashboards.
Common Questions
-
Why do I get "NA"?
This could mean the symbol is invalid, the subscription is inactive, or the data isn’t available for that period. -
How often is the data updated?
MarketXLS updates data on a regular basis. Data for recent quarters may appear after company filings. -
Can I use this with international symbols?
Yes. Ensure the symbol format is correct and that MarketXLS supports that region or exchange. -
Any performance considerations?
Large batches of formula calls may slow Excel due to API requests. Use them selectively or consider caching results within Excel.
?? Note: This function is part of the MarketXLS historical fundamentals suite. Ensure you have the appropriate data plan and keep your MarketXLS add-in updated.
- Related Functions:
- Revenue (Historical):
=hf_Revenue(...)
- Cost Of Revenue (Historical):
=hf_Cost_Of_Revenue(...)
- Gross Profit (Historical):
=hf_Gross_Profit(...)
- R & D Expenses (Historical):
=hf_RnD_Expense(...)
- Selling General and Administrative Expense (Historical):
=hf_Selling_General_Admin_Expense(...)
- Revenue (Historical):