What the EU Taxonomy Omnibus Amendments Mean for Bank GAR Reporting in 2026

by: Impact Maker Core Team
Apr 29, 2026

The EU Taxonomy regulatory framework just changed in ways that most banks have not yet fully applied. If your Green Asset Ratio feels lower than your lending book deserves, the new rules may be exactly the lever you need.


The Regulatory Ground Has Shifted

When the EU Taxonomy Regulation was first introduced, it set a clear ambition: create a common language for sustainable finance. For banks, this translated into one headline metric — the Green Asset Ratio (GAR) — a figure that investors, regulators, and analysts would use to assess how much of a bank’s balance sheet supports environmentally sustainable activities.

But the framework has never been static. Delegated Acts, Q&As, and FAQs have evolved continuously. And in 2024–2025, the European Commission introduced the Omnibus Package — a set of amendments that represent the most significant revision to Taxonomy reporting requirements since the original regulation was published.

For banks, these amendments are not simply a compliance update. They are an opportunity — one that most institutions have not yet fully acted on.

What the Omnibus Amendments Actually Changed

Understanding the Omnibus amendments requires cutting through a significant volume of regulatory language. Here is what matters most for bank Taxonomy reporting:

1. Adjusted Scope Definitions

The amended regulation introduces more precise scope boundaries for which assets must be included in Taxonomy KPI calculations. Certain exposures that previously required complex data collection can now be treated under simplified rules, and some categories are expressly excluded from mandatory reporting scope.

In practice, this means that many banks have been applying a more burdensome scope than the amended regulation requires. Re-mapping your current portfolio against the updated scope boundaries is often the fastest route to reducing reporting effort — and, in some cases, improving reported KPIs by removing categories that were dragging down the ratio.

2. New Materiality Thresholds

The Omnibus amendments introduced materiality thresholds that allow banks to deprioritise certain counterparty segments and exposure types. Rather than requiring granular Taxonomy assessment across every single exposure, the new rules create proportionality mechanisms that align assessment effort with economic significance.

Applying these thresholds strategically — identifying which parts of the portfolio fall below materiality and can be treated under simplified approaches — is one of the most significant operational simplification opportunities available to banks today.

3. Voluntary Inclusion Options

Perhaps the most underutilised change in the Omnibus package is the introduction of voluntary inclusion provisions. These allow banks to include certain asset types and counterparty exposures that were previously excluded from Taxonomy KPI calculations.

For banks with large mortgage books, green SME lending programmes, or significant retail portfolios, voluntary inclusion can materially improve reported Taxonomy alignment — provided the bank can demonstrate the necessary evidence of alignment.

4. Revised Reporting Templates

The amended regulation includes updated reporting templates with modified column structures, revised definitions, and new disclosure fields. Banks that have not yet updated their reporting setup to reflect the new templates may be disclosing on an outdated basis — creating inconsistency risk with regulatory expectations.

Why Most Banks Are Leaving GAR Points Unreported

There is a persistent misconception in the market: that low Taxonomy KPIs reflect low green lending. In our experience working across multiple European banking institutions, this is rarely the case.

The more common explanation is one of three fixable problems:

  • Data gaps: Banks often cannot evidence alignment for activities that are genuinely green. Counterparties do not provide the necessary documentation. Internal systems were not designed to capture Taxonomy-relevant data. The result is that lending which could qualify for Taxonomy alignment is reported as non-eligible or non-aligned by default.
  • Methodology choices: Early-stage reporting decisions — many made before the regulatory framework was fully settled — baked in conservative interpretations that the current framework no longer requires. These choices persist because no one has had time to revisit them.
  • Untapped regulatory flexibility: The Omnibus amendments created new options that most banks have not yet modelled. The difference between a bank that has applied voluntary inclusion options and one that has not can be significant in GAR terms — without any change in the underlying lending book.

The diagnostic question is not ‘are we doing enough green lending?’ It is ‘are we correctly evidencing and disclosing the green lending we are already doing?’

What Peer Banks Are Doing Differently

Peer benchmarking across institutions with similar loan portfolios reveals meaningful variation in GAR outcomes that cannot be explained by lending activity alone. Banks with stronger KPIs typically share several characteristics:

  • They have structured counterparty data collection programmes that systematically gather Taxonomy-relevant information from corporate borrowers.
  • They apply materiality thresholds strategically, focusing assessment effort on high-impact exposures rather than spreading resources thinly across the full portfolio.
  • They use voluntary inclusion options to capture green retail lending and mortgage portfolios that might otherwise fall outside mandatory scope.
  • They have invested in internal process automation to reduce the manual effort required for Taxonomy assessment, freeing up capacity for higher-value interpretation work.
  • They revisit methodology decisions annually rather than treating the initial reporting setup as permanent.

None of these practices require a complete reporting overhaul. They are incremental improvements, applied systematically.

A Diagnostic Framework for Banks

Given the complexity of the amended framework, we recommend a structured diagnostics approach before making any reporting changes. The goal is to identify the highest-impact opportunities specific to your portfolio and reporting setup, rather than applying generic recommendations that may not be relevant.

Step 1: Regulatory Change Mapping

Translate the Omnibus amendments into concrete implications for your specific reporting setup. Which changes affect your current approach? Which create opportunities? Which require action before your next disclosure cycle?

Step 2: KPI Impact Analysis

Model the potential impact of regulatory changes on your GAR and other Taxonomy KPIs. What is the realistic uplift available from scope adjustments, materiality thresholds, and voluntary inclusion? What evidence would be required to capture it?

Step 3: Peer Benchmarking

Compare your reporting approach and KPI outcomes with institutions that have similar portfolio profiles. Where are the gaps? What are comparable banks doing that you are not? What practices are delivering the strongest results?

Step 4: Opportunity Prioritisation

Not all improvement opportunities are equal. Some require significant counterparty engagement. Others can be applied immediately within existing data sets. A structured prioritisation — weighted by impact, effort, and risk — ensures resources are directed toward the highest-value actions.

Step 5: Actionable Roadmap

Translate the diagnostics findings into a clear, sequenced action plan. What changes should be made before the next disclosure? What longer-term capability investments are warranted? Who needs to be involved internally?

The Strategic Opportunity

EU Taxonomy reporting is moving from a compliance exercise to a strategic asset. Investors increasingly use GAR as a proxy for a bank’s green finance capability. Regulators are developing supervisory expectations around Taxonomy methodology. Capital markets are linking green financing terms to Taxonomy alignment.

Banks that improve their GAR through better evidencing, smarter methodology, and strategic use of regulatory flexibility will be better positioned — with investors, with regulators, and in the market for sustainable finance.

The Omnibus amendments created new room to manoeuvre. The question is whether your institution is using it.


ImpactMaker’s EU Taxonomy Diagnostics service delivers a peer-benchmarked, amendment-aware diagnostic in under 30 days. Discover your GAR improvement potential without rebuilding your reporting infrastructure. Book a free 15-minute scoping call at impactmaker.co

Q1: What is the Green Asset Ratio (GAR) and why does it matter for banks?

Answer: The Green Asset Ratio (GAR) measures the proportion of a bank’s total assets that are EU Taxonomy-aligned — meaning they finance economic activities that meet the EU’s environmental sustainability criteria. It is the headline Taxonomy KPI for European banks and is disclosed annually in sustainability reports and Pillar 3 regulatory filings.The GAR matters because investors, analysts, and regulators use it to assess a bank’s exposure to green economic activities, its alignment with EU climate objectives, and its readiness for sustainable finance transactions including green bond issuance. A higher GAR signals stronger ESG positioning and can reduce the cost of green capital.

Q2: How do the EU Taxonomy Omnibus amendments affect bank reporting in 2026?

Answer: The Omnibus amendments introduced in 2024–2025 represent the most significant revision to EU Taxonomy reporting requirements since the original regulation. For banks, the key changes include: adjusted scope definitions that alter which exposures must be included in Taxonomy KPI calculations; new materiality thresholds that allow proportionate treatment of certain counterparty segments; voluntary inclusion provisions that allow banks to include previously excluded asset types; and updated reporting templates with revised column structures.These changes create both compliance obligations (updating methodology and templates) and strategic opportunities (applying new flexibility to improve KPI outcomes). Many banks have addressed the compliance element but have not yet modelled the strategic opportunities.

Q3: Can a bank improve its GAR without a full reporting overhaul?

Answer: Yes. In most cases, GAR improvement does not require rebuilding existing reporting infrastructure. The most significant improvement opportunities typically come from three sources that work within established frameworks: methodology adjustments to reflect current regulatory guidance and Omnibus amendments; structured counterparty engagement to collect evidence for exposures that are already green but cannot currently evidence alignment; and strategic application of regulatory options such as materiality thresholds and voluntary inclusion.A structured diagnostic exercise — typically taking four to six weeks — can identify the specific opportunities available to a given institution and prioritise them by impact and implementation effort.

Q4: What is a realistic timeline for EU Taxonomy GAR improvement?

Answer: GAR improvement opportunities typically fall across three time horizons. Immediate improvements — within the current reporting cycle — come from methodology adjustments that use existing data, such as applying updated scope definitions, implementing materiality thresholds, or correcting conservative interpretations against current FAQs. Short-term improvements — over one to two reporting cycles — come from counterparty engagement programmes that systematically collect missing evidence. Medium-term improvements come from integrating Taxonomy requirements into credit origination processes and investing in automation to scale assessment across large retail portfolios.

Q5: What does EU Taxonomy peer benchmarking for banks involve?

Answer: EU Taxonomy peer benchmarking compares a bank’s reporting methodology, KPI outcomes, and data strategy against institutions with similar portfolio profiles — comparable in terms of balance sheet size, loan book composition, geographic focus, and customer mix. Meaningful benchmarking goes beyond comparing published GAR figures, which reflect the combined effect of portfolio composition and methodology choices. It analyses the specific methodology decisions driving observed differences — scope application, evidence standards, materiality threshold use, and voluntary inclusion decisions — and identifies which differences represent improvement opportunities versus deliberate contextual choices.

Q6: How does ImpactMaker’s EU Taxonomy Diagnostics service work?

Answer: ImpactMaker’s EU Taxonomy Diagnostics service follows a structured five-stage methodology. First, regulatory change mapping translates recent Omnibus amendments into concrete implications for the client’s specific reporting setup. Second, KPI impact analysis models how regulatory changes affect the Green Asset Ratio and other Taxonomy KPIs. Third, peer benchmarking compares the client’s approach and outcomes against banks with similar portfolio profiles. Fourth, opportunity identification highlights where regulatory flexibility — scope adjustments, materiality thresholds, voluntary inclusion — creates realistic improvement levers. Fifth, action planning translates all findings into a prioritised roadmap with clear implementation steps. The Discover tier delivers this in under 30 days.

Q7: Which banks benefit most from EU Taxonomy diagnostic services?

Answer: EU Taxonomy diagnostic services deliver the highest value for banks that are preparing their next GAR disclosure and want to understand whether their methodology reflects current regulatory expectations; institutions whose GAR is below peer benchmarks and whose leadership wants to understand why; banks with large retail, mortgage, or SME lending portfolios where voluntary inclusion options may be available; institutions that have not formally reviewed their Taxonomy methodology since the Omnibus amendments; and banks preparing for green bond issuance or ESG rating reviews where GAR performance is a key input.


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