Our Comparables tab displays valuation multiples for a set of publicly traded companies. We find the most closely positioned public companies in a Finder search to run custom scenarios and to help calculate private company valuations.
Custom Comparables Video Tutorial
Comparables displays the mean, minimum, maximum and median EV/Revenue and EV/EBITDA multiples, as well as growth metrics for each set of publicly-traded companies. By filtering out unselected companies, the valuation multiples can be further refined and edited.
Finding the Comparables tab
After Finder returns a list of companies based on your search criteria, you can navigate to the Comparables tab below the search bar, on the right side of the page.
Companies that do not have a Revenue figure will be displayed as NA*
Companies with a EV/REVENUE & EV/EBITDA multiple value that is < 0 or > 99.99 will value will display NM*
NA = Not Available
NM = Not Meaningful
Returning more similar public companies in your search
By searching with the “Companies with Financials” filter, Finder will only include companies with publicly disclosed financial statements in your results.
Calendarized Estimates Revenue/EBITDA multiples
Calendar consensus estimates are available for equities with fiscal years that do not correspond with the calendar year. The calendarized methodology described below applies to annual and quarterly formulas that end in _CALA and _CALQ. These formulas should not be confused with _CAL4 formulas that sum the four fiscal quarters that best represent the calendar time period.
Calendarized calculations are based on days, not months.
For example, the fiscal year end for the company Infineon Technologies AG (ticker IFX) is September. This company's calendarized 2006 EBITDA is 273/365 of its 2006 EBITDA estimate plus 92/365 of its 2007 EBITDA estimate. In calendar terms it can be viewed as:
Note: Calendar data is calculated from median consensus figures.
Calendarized calculations have particular strengths: For calculations involving absolute data (EPS, recurring earnings, etc.) and for aggregates and portfolios, homogenous data makes for ease of comparison.
Calculating the mean & median
We calculate the mean by the sum of all values (within each column), then, divide them by the number of value X:
Depending on the number of values you have in your Custom Comparables list, our system will find the min & max values as well as the median.