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Including 'Details' in Exports

Organize term concepts by currency, metric, and type by using SD details.

Updated over 7 months ago

To further enhance the terms that we capture, Street Diligence has broken down a number of terms, such as baskets, which allows for better data organization. You can now organize your basket based on type, currency, metric, and more.

Let's run through an example to help explain.

Suppose you closed on a deal and uploaded the related credit agreement to Street Diligence. When viewing the document analysis within the platform, you see the value for the Free and Clear Basket was captured as Max: USD 125m or 100% of LTM EBITDA. On the platform, you will only see the basket summary in view. However, you have the ability to get this concept further broken down in an Excel report.

You can do this in one of three ways -

  1. Within the Document Page: Under the Actions button in the top right corner of the document page, select "Export Analysis Detail to Excel".

  2. Within Compare Metric: Under the Actions button in the top right corner of the compare metric page, select "Export Compare Metrics Detail to Excel".

  3. Within Reports: There is an option when pulling all reports (excluding the Portfolio Summary report) to check a box to "Include Details".

By following any of the steps above, you will get an output of all analyzed terms and concepts with an additional breakdown.

But what does that actually look like?

Using our example above, with a Free and Clear Basket captured as Max: USD 125m or 100% of LTM EBITDA, the detailed export will break this down in the following way -

Free and Clear Basket - Summary

Max: USD 125m or 100% of LTM EBITDA

Free and Clear Basket - Fixed Amount in Million

125

Free and Clear Basket - Currency

USD

Free and Clear Basket - Metric

Last 12 months EBITDA

Free and Clear Basket - Percentage of Metric

100.00 %

Free and Clear Basket - Type

Max

So, you can see that the summarized value Max: USD 125m or 100% of LTM EBITDA is broken down by the fixed amount (in million), currency, metric, percentage of metric, and type.

This is beneficial in order to sort your data by type of basket (i.e., whether it is Max or Min), currency, or any of the broken down metrics.

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