Consolidate carbon footprint data by organization structure

Clients with holding or multi-entity structures can now see each parent company's emissions automatically consolidated with all of its subsidiaries, without building manual views.

What’s new

A new toggle, “Consolidate by organization structure,” is now available in the Carbon Footprint dynamic tables. With a single switch, companies in the org chart are grouped by their parent-subsidiary structure, so each parent company automatically consolidates its own data together with all of its subsidiaries.

Why it matters

For clients with holding structures or complex corporate groups, this used to require manual work or separate custom views to see consolidated emissions at the group level. Now that consolidated view is available directly in the dynamic tables with one click.

30-minute demo

See it with your data

We show you how this works on an example close to yours.

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More updates in Carbon Footprint

See Carbon Footprint →
  1. District heat, steam and cooling get their own emissions category See heat, steam and cooling emissions calculated separately from electricity, with dedicated emission factors and Scope 2 and Scope 3 (category 3) accounting for more precise results.
  2. Download scope 1, 2 and 3 data in a single file Clients can now export all of their scope 1, 2 and 3 carbon footprint data in one Excel or CSV file instead of pulling separate exports per scope.
  3. Enter historical Scope 2 emissions with the location based method You can now log historical Scope 2 emissions using the location-based method, split into electricity and heat, steam and cooling, so your past data is as detailed as your current reporting.
30-minute demo

See it with your own data.

Thirty minutes with our team. We show you how your data would come in, and what you would get out.

See Dcycle in action
  • No commitment
  • With your data
  • In your language

What your session looks like

  1. 01 You tell us what you’re being asked forCustomers, auditors or banks: what data and by when. 0–5 min
  2. 02 We show how your data comes inInvoices, ERP, suppliers: on an example close to yours. 5–20 min
  3. 03 You leave with a planWhat to automate first and how much time you save. 20–30 min
With someone from the team who then supports you