If you run across several entities and countries, you already know the footprint isn't the sum of the subsidiaries: each is its own boundary, calculated with its own jurisdiction's factors, then consolidated. That part is well understood. The hard part, where most of the work and risk live, is everything underneath it: getting comparable, complete data out of every entity, and resolving the messy middle before any of it can be added up.
This is about the method for a group, whatever system each entity runs. For the spend-based vs activity-based choice, see spend-based vs activity-based accounting; for the scopes, a scope review for the GHG Protocol. If every entity runs NetSuite OneWorld, there's a system-specific version in consolidating carbon across subsidiaries.
Where multi-entity groups actually get stuck
None of this is the theory. Every team running a group knows you calculate each entity on its own boundary, with its own factors, then consolidate: that part is settled. Groups get stuck upstream of the method, on getting comparable, complete data out of every entity. Pull a group together and the data never arrives evenly: the parent is well covered, newer or smaller entities come in patchy (some with barely any structured data), and the value-chain sources are thinnest of all, everywhere. The factors are the easy bit; the raw material is the problem.
Data readiness by entity and source: the first pull (illustrative)
| Electricity | Stationary fuel | Fleet / mobile | Freight | Waste | Travel | |
|---|---|---|---|---|---|---|
| Australia (parent) | 95 | 80 | 75 | 60 | 55 | 85 |
| Chile | 60 | 45 | 40 | 30 | 20 | 50 |
| Canada | 85 | 70 | 65 | 55 | 50 | 80 |
| United Kingdom | 90 | 75 | 60 | 50 | 45 | 80 |
| Singapore | 70 | 30 | 35 | 40 | 25 | 65 |
Illustrative: the point is the pattern, not the numbers. A readiness matrix like this is the first thing worth building, because it shows where the work is.
Four structural pain points, none of them the factor principle
Current, defensible factors
Someone has to hold a correctly-vintaged factor set for each country, apply it consistently, and defend the choice to an assurer.
Calendars and currencies differ
One entity reports Jan to Dec, another Jul to Jun, and spend arrives in local currency. Periods and money have to align before anything is added up.
Uneven data maturity
The parent has metered, activity-grade data; a recent acquisition has little more than a bank feed. Both have to end up comparable.
Intercompany double-counting
Freight and services billed between entities can land in the group total twice unless they are eliminated.
“The tidy 20% of your data (clean ledger lines with an obvious factor) is not where a multi-entity footprint is won or lost. It is won or lost in the messy middle: the shared-site bill with no sub-meter, the freight invoice with no distance, the fuel docket in the wrong units, the waste described but never measured.”
Where the work actually isGround on the ledger, then work outward
The general ledger is the one system every entity has, so it is the spine to build from. Scope 1, 2 and 3 source documents (vendor bills, utility invoices, fuel and fleet records, freight bills) are pulled from whatever ERP each entity runs, or exported where a system doesn't connect, then reconciled against the ledger so nothing material is quietly missed. That completeness check turns a pile of documents into a defensible group total. From there, the work moves outward into the activity data the ledger can't resolve on its own.
These documents already cover a surprising amount of the footprint, across all three scopes. Worth seeing what comes out of the ledger before deciding what still has to be chased:
Fuel you burn
- Stationary & mobile combustionDiesel for rigs and generators, gas at a site, fleet fuel, often on vendor bills and fuel-card records.
- Refrigerants & fugitivesTop-up and service records for owned equipment.
Energy you buy
- Purchased electricity at every siteUtility invoices, one per meter per entity, each reported location-based and, where the market allows (RECs, GOs, LGCs), market-based.
Everything up and downstream
- Purchased goods & servicesSpend across the ledger, the broadest first pass, entity by entity.
- Freight & logisticsCarrier and forwarder bills for moving equipment and product.
- Business travel & wasteTravel-agent statements and waste dockets, where they exist.
The messy middle: what the Analyst handles
The documents rarely arrive ready to calculate from. Units differ between entities, bills cover space you don't solely occupy, freight is priced with no distance behind it, and half of it lands as PDFs in local formats. Our AI Sustainability Analyst is built for this middle layer: it reads each document, normalises it, picks a defensible method, and, crucially, flags every judgement call rather than burying it. A few examples of what it does with the mess:
| What lands in front of you | Why it's messy | What the Analyst does |
|---|---|---|
| A diesel invoice from a remote drill site: litres at one entity, gallons at another | Units and fuel types differ across entities | Normalises to a common unit and applies the right combustion factor for each fuel and country |
| An electricity bill for a leased or shared site with no sub-meter | You're billed for space you don't solely occupy | Allocates by floor area (the basis the GHG Protocol sets out for un-sub-metered leased space) or another documented key such as head-count, and flags the assumption for your review |
| A freight invoice naming the carrier and the amount paid, but no distance or weight | Not enough detail for an activity-based number | Uses a spend-based factor now, and flags the line to upgrade to activity data later |
| A waste docket describing commingled recycling or a grease trap | The disposal method, not the tonnage, drives the factor | Reads the description and picks the disposal-method factor that matches, rather than defaulting to landfill |
| A supplier bill as a scanned PDF, in a local format or language | Structured ERP data doesn't reach it | Extracts, classifies and maps the line, keeping the source document linked to the number |
| Two entities on different fiscal calendars, one Jan to Dec and one Jul to Jun | Periods don't line up for a group total | Aligns each entity's data to the group reporting year before consolidation |
Calculate per entity, consolidate like your financials
With each entity calculated on its own local factors, the group total consolidates by operational control, financial control or equity share: the three GHG Protocol approaches, which mirror the logic of your financial consolidation (though the Protocol notes the evaluation is not identical).
Because the ASRS, the UK SRS and New Zealand's Climate Standards all build on the ISSB's IFRS S1/S2 baseline, a group can assemble one IFRS S2-aligned core and reuse most of it. But no regime takes it unchanged: each layers on its own modifications, spanning not just thresholds and timing but what sits in scope and the legal framing.
| Regime | What it layers on the IFRS S2 core |
|---|---|
| Australia · AASB S2 | First-year Scope 3 and scenario-analysis relief; a legislated safe harbour |
| New Zealand · NZ CS | Longer Scope 3 exemption; its own separate standard architecture |
| United Kingdom · UK SRS | ISSB-aligned, but at a voluntary stage on local timing |
The whole sequence, end to end, is the same for every entity no matter how its data arrives, which is what makes it a repeatable process across the group rather than a fresh scramble each year:
Traceability is what survives assurance
With many entities feeding one number, the audit trail matters more, not less. Every figure has to trace back to the entity and the transaction behind it, so an assurer (or your own finance team) can drill from group total to subsidiary to the underlying invoice. Capture that trail as the data is read, not months later, and following any number to its source stays a few clicks, even across a dozen entities. See when an assurer questions your numbers.
A consolidation that matches your books. How our AI Sustainability Analyst handles a multi-entity, multi-country group:
Related reading
Source basis per entity: spend-based vs activity-based accounting
Inflation & FX on spend factors: spend-based factors: inflation and FX
Avoiding intercompany double-counts: how to avoid double-counting
Doing it without a big team: ASRS reporting when you're a team of one
The NetSuite version: carbon across subsidiaries in OneWorld
What the ASRS requires: the plain-English guide
Consolidate carbon across every entity and country, on one disclosure
Our AI Sustainability Analyst grounds each entity on its ledger, handles the messy middle, and rolls the group up the same way your financials already consolidate, keeping the source document behind every figure it produces.
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