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Carbon Accounting Across Multiple Entities and Countries

Victor Wong
Victor Wong, CTO, CO2 Lab
9 min read · Published February 2026

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)

ElectricityStationary fuelFleet / mobileFreightWasteTravel
Australia (parent)958075605585
Chile604540302050
Canada857065555080
United Kingdom907560504580
Singapore703035402565
Low
High(%)

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 is

Ground 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.

Each entity's raw data
whatever system it lives in
Structured
general ledger + ERP documents
Invoices, utility & fuel bills
pulled and reconciled to the ledger
The messy middle
the rest of the activity data
Field logs, shared-site bills, PDFs
handled by the AI Analyst
One reviewed group ledger
every figure traces to its source

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:

Scope 1 · Direct

Fuel you burn

  • Stationary & mobile combustion
    Diesel for rigs and generators, gas at a site, fleet fuel, often on vendor bills and fuel-card records.
  • Refrigerants & fugitives
    Top-up and service records for owned equipment.
Scope 2 · Indirect

Energy you buy

  • Purchased electricity at every site
    Utility invoices, one per meter per entity, each reported location-based and, where the market allows (RECs, GOs, LGCs), market-based.
Scope 3 · Value chain

Everything up and downstream

  • Purchased goods & services
    Spend across the ledger, the broadest first pass, entity by entity.
  • Freight & logistics
    Carrier and forwarder bills for moving equipment and product.
  • Business travel & waste
    Travel-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 youWhy it's messyWhat the Analyst does
A diesel invoice from a remote drill site: litres at one entity, gallons at anotherUnits and fuel types differ across entitiesNormalises 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-meterYou're billed for space you don't solely occupyAllocates 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 weightNot enough detail for an activity-based numberUses a spend-based factor now, and flags the line to upgrade to activity data later
A waste docket describing commingled recycling or a grease trapThe disposal method, not the tonnage, drives the factorReads 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 languageStructured ERP data doesn't reach itExtracts, 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 JunPeriods don't line up for a group totalAligns 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.

RegimeWhat it layers on the IFRS S2 core
Australia · AASB S2First-year Scope 3 and scenario-analysis relief; a legislated safe harbour
New Zealand · NZ CSLonger Scope 3 exemption; its own separate standard architecture
United Kingdom · UK SRSISSB-aligned, but at a voluntary stage on local timing
Top of the group
Group Holdings
consolidates the group · one IFRS S2 disclosure
Regional holding entities
rolled up by operational control or equity share
Operating entities across every country you run
Australia · parent + field sitesChile · Peru · field operationsCanada · North AmericaUnited Kingdom · EuropeSingapore · APAC hub
Illustrative structure. Each operating entity is its own reporting boundary, calculated with its jurisdiction's factors before the group is rolled up.

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:

Each entity's data
GL, ERP docs, field logs
Mapped with local factors
the right factor per country
Analyst handles the messy middle
units, allocations, disposal methods
You review
source, factor and reasoning shown
Consolidated group footprint
one IFRS S2 disclosure
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:

System-agnostic intake
Reads NetSuite, Xero and other ERPs read-only where they connect, and exports, invoices and utility bills where they don't, so every entity feeds the same process.
Grounded on the ledger
Scope 1, 2 and 3 documents reconciled against the general ledger, so the group total has a completeness check behind it.
Per-entity local factors
Each subsidiary mapped with the emission factors for its jurisdiction, before anything is rolled up.
Handles the messy middle
Normalises units, allocates shared sites, picks disposal-method factors, extracts PDFs, and flags each judgement for your review.
Consolidates by control or equity
Rolls entities up the same way your financials do, in a single parent-currency total across fiscal calendars.
One disclosure, traceable end to end
Produces one IFRS S2-aligned footprint for ASRS and other ISSB-based regimes, with every figure drilling from group to entity to source.
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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Frequently asked questions

How do you calculate a carbon footprint across multiple countries?+

You calculate each entity on its own reporting boundary using the emission factors for its jurisdiction, then consolidate the finished entity results into a group total. A kilowatt-hour of grid electricity in Australia, Chile and the United Kingdom each carries a different factor, so applying one global factor to combined data misstates every entity except the one the factor set was built for. The right order is entity first, group second.

Do we need our ERP connected in every country to do this?+

No. Where an entity runs an ERP we can connect to, such as NetSuite or Xero, we read it read-only; where it doesn't, exported ledgers, invoices and utility bills work just as well. The method grounds on the general ledger for completeness either way, so the group total stays consistent across entities on very different systems.

What is the 'messy middle' in multi-entity carbon accounting?+

It's the activity data that structured ERP records don't cleanly reach: fuel invoices in different units per entity, electricity bills for shared or leased sites with no sub-meter, freight billed without distance or weight, waste described by disposal method rather than measured, and source documents that arrive as PDFs in local formats and languages. It's where most of the effort goes, and where the AI Sustainability Analyst does the heavy lifting.

How do you consolidate emissions across subsidiaries?+

Using operational control, financial control or equity share: the three approaches in the GHG Protocol Corporate Standard, which mirror the logic of your financial consolidation (the Protocol notes the process is similar to defining the reporting entity for financial statements, though the evaluation is not identical). Each entity is calculated first, then rolled up under whichever approach you choose, so the carbon roll-up lines up with your books rather than diverging into a separate spreadsheet.

Can one report cover ASRS and other jurisdictions at the same time?+

Partly. The ASRS (Australia), UK SRS, New Zealand's Climate Standards and other national regimes are all built on the ISSB's IFRS S1/S2 baseline, so a group can build one IFRS S2-aligned core and reuse most of it. But each regime adds its own modifications (Australia's first-year Scope 3 and scenario-analysis reliefs and its legislated safe harbour, New Zealand's longer Scope 3 exemption and separate standard architecture, the UK's voluntary-stage standards), so the core is adapted for each jurisdiction, not filed unchanged. The differences span what sits in scope and the legal framing, not just thresholds, timing and factor sets.

Sources

Primary sources, current at publication. Figures such as emission factors and penalty units are revised periodically. Check the source for the latest.

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