Using The Legacy Finbox Excel Add-on


Due to a change in policy with our data provider, we're in the process of removing this spreadsheet add-on feature. The spreadsheet add-on is no longer offered to new free or paid users. This functionality will remain available to  existing paid users until May 31, 2021. After May 31, 2021, the =FNBX() spreadsheet add-ons will be removed completely. 

If you have any questions about this notice, please email


This article is intended for those using older versions of Excel or that do not have an active Office 365 subscription. If you are using the latest version of Office 365 for Windows, Mac, or online, you should check out the guide for our latest add-in version. The new version is much faster and has many new features that are not supported in this legacy add-in.

In this article

Using the = FNBX( ) function

Once you've installed and enabled the add-on, you can construct a formula by typing = FNBX( ) into any cell. The formula accepts inputs in the order described below.

= FNBX( "ticker" , "metric_slug" , "period" )
Note: Providing a period is optional and will default to the latest supported time period.


Finbox supports thousands of companies listed on exchanges all over the world. If you need data for a company we don't currently support, send us a note at and we'll do our best to accommodate you.

Metric Slug

Finbox aggregates and computes hundreds of metrics for each of the companies we support. Timeseries metrics like the stock price may contain over 10 years of historical data.

You can search for the metric_slug associated with a metric in one of two ways:

1) using the Data Explorer, or

2) using the metrics listing spreadsheet


To make it easy for our own team to work with this data, we developed a unique key-value query language we call FinQL. To standardize access to timeseries data that may have different reporting intervals, some metrics include a list of supported "periods". Periods allow you to select the reporting interval and calendar range of data you'd like to retrieve.

For example, revenue is reported on a quarterly and annual basis, as determined by a company's fiscal calendar. The last 10 years of annual revenue figures is represented by the periods FY-9 to FY. Similarly, the last 8 quarters of reported quarterly revenue is represented by periods FQ-7 to FQ.

A metric like stock price ( asset_price_close_adj) has data available with a daily frequency. To retrieve the last 30 days of close prices for a company, you can request data from periods D-30 to D. You can also simply provide a date ("2020-03-31") or reference a date that is in another cell as the third parameter. Note, providing a period is optional as the function will default to the latest period.

You can search for the period types supported for a metric in one of two ways:

1) using the Data Explorer, or

2) using the period types listed in Column F in the metrics listing spreadsheet

The following table summarizes supported period formats:



  • Get the latest stock price for Microsoft, ticker MSFT
= FNBX( "MSFT" , "asset_price_latest" )
  • Get the adjusted closing stock price for Bank of America (BAC) on September 15, 2008 (2008-09-15)
= FNBX( "BAC" , "asset_price_close_adj" , "2008-09-15" )
  • Get the total revenue for Facebook (FB), for the latest fiscal year (FY)
= FNBX( "FB" , "total_rev" , "FY" )
  • Get the total revenue for Facebook (FB), for the fiscal year before last (FY-1)
= FNBX( "FB" , "total_rev" , "FY-1" )
  • Get the total revenue for Facebook (FB), for the fiscal quarter before last (FQ-1)
= FNBX( "FB" , "total_rev" , "FQ-1" )
  • Get the revenue forecast for Facebook (FB), two fiscal years into the future (FY+2)
= FNBX( "FB" , "revenue_proj" , "FY+2" )

Pro Tips

Use relative cell references

Instead of typing the ticker and metric_slug inside the formula, put these formula inputs in a separate cell. This will make it easier to debug your formulas.

Using this approach in combination with relative cell references can save you a lot of time. Check the Watchlist section in the FNBX [Demo] spreadsheet for an example.

A2 := AAPL
B2 := name
= FNBX( $A3 , B$2 ) Great
= FNBX( "AAPL" , "name" ) Not As Great

Sources / Further Reading:

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