Where does Databook source data to generate insights and metrics from?

All our historical company fundamental data (e.g. revenue, EBITDA) ultimately comes from official company documents, such as SEC filings (e.g. 10-K forms), annual reports and audited company accounts. 

Some of this data we obtain from a leading data provider, S&P Capital IQ. We also source additional data points ourselves, directly from verified company documents.

How does Databook quality assure data?

We look for outliers in the data and sense check that company datasets are internally consistent.

What adjustments do you make to company data?

To ensure that financial data is comparable between companies and over time periods, certain adjustments have been made.

We normalize Capital IQ revenue and profitability forecasts (which are derived from analyst forecasts) so that they are comparable with historical as-reported data for these metrics. 

Capital IQ has also made adjustments to the EBITDA data it provides to Databook. Further details of these adjustments can be found in this article

How does Databook compare company performance for a specific time period, when companies have different reporting calendars?
For most comparisons, Databook will synchronize the time period that is used for each company in the comparison to match that of the target company. 

For comparisons over the 'last 12 months' (or 'trailing 12 months'), we also synchronize the peer set data to match the target company time period where possible. In the event that a peer has not yet reported data up to the latest time period of the target company, we will then use the latest available time period for that peer. 

On the Databook web app, the time period used for any company in a comparison can be viewed by hovering the cursor over the relevant bar or data point in the chart.

How often is Databook data updated?

We aim to update company data within 24hours of an earnings announcement. We also update insights and metrics for a company whenever a competitor releases new results.

Where can I get more details about individual metrics?

You can find out more information about why each metric is important and how we calculated it in the metrics tab.

What formulas does Databook use to calculate metrics?

  • Total shareholder return (%) = (End share price - Beginning share price + Dividends paid) / Beginning share price
  • Revenue growth (%) = (End revenue / Beginning revenue) - 1
  • EBITDA margin (%) = Earnings before Interest Taxes Depreciation and Amortization / Total revenue
  • EBT margin = Earnings before Taxes / Total revenue
  • EBIT margin = Earnings before Interest and Taxes / Total revenue
  • Gross margin (%) = (Total revenue – Cost of goods sold) / Total revenue
  • SG&A as a % of revenue (%) = SG&A costs / Total revenue
  • Revenue per employee = Total revenue / number of employees
  • Free cash flow (unlevered) = EBITDA - Capex - Working capital - Taxes
  • Cash Conversion Cycle = Days of Sales Outstanding + Days of Inventory Outstanding - Days of Payables Outstanding

How do you calculate cost-take out forecasts?
The method we use across all companies is to take analyst revenue and profit forecasts, to determine how much of the expected profit will come from sources other than expected revenue growth (scaling at the latest operating margin). Cost take out is a forward-looking metric so should be viewed as an estimate.

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