Navigating ESRS Compliance: Practical Steps for Small and Medium-Sized Enterprises (VSMEs)
Small and medium-sized enterprises (VSMEs) will soon have to implement the new EU Sustainability...
By: Johannes Fiegenbaum on 5/14/24 10:50 AM
Building an ESG strategy from scratch — or significantly upgrading an existing one — ranks among the most consequential decisions a company can make in 2025. Not because regulators demand it (though many now do), but because the organisations that treat ESG as a strategic discipline rather than a compliance exercise consistently outperform peers on operational resilience, investor access, and talent retention. The challenge, particularly for mid-market firms and growth-stage startups, is translating that principle into a structured implementation roadmap with measurable outcomes.
This guide cuts through the complexity. It covers every major phase of ESG implementation — from materiality assessment and governance setup through KPI selection and reporting — with explicit attention to how the approach differs between startups and established mid-market companies. Whether you are preparing for a first investor due diligence, responding to supply chain data requests, or building toward CSRD-aligned reporting, the following steps provide an actionable foundation.
The regulatory momentum behind ESG disclosure has accelerated sharply. In the EU, the Corporate Sustainability Reporting Directive is already in force for large companies, with mid-market firms entering scope through 2028. California's SB 253 and SB 261 are setting a de facto US benchmark for companies with revenues above $500 million. And even where mandatory disclosure thresholds are not yet reached, the pressure arrives indirectly — through supply chains.
Large companies required to report under ESRS disclosure requirements are increasingly pushing data requests downstream to their suppliers and service providers. Mid-market firms with revenues between $100 million and $2 billion are particularly exposed: they often lack the dedicated resources of larger corporations but face identical data demands from their enterprise customers. This cascading dynamic is not theoretical — supplier agreements now routinely include greenhouse gas emissions data requirements as standard clauses.
The investment case is equally compelling. ESG-focused institutional investments are projected to reach approximately $33.9 trillion by 2026, comprising roughly 21.5% of global assets under management. According to current research, 89% of investors already incorporate ESG factors into investment decisions, and a substantial majority indicate willingness to accept some short-term return trade-off for sustainability-aligned businesses. For startups seeking venture funding — particularly from Article 8 or Article 9-classified funds — an ESG-ready posture is rapidly becoming table stakes.
Tatsächlich, the question for most decision-makers today is not whether to build an ESG strategy, but how to do it efficiently without diverting resources from core business priorities.
Every credible ESG strategy begins with a materiality assessment. This is not administrative box-ticking — it is the analytical process that determines which environmental, social, and governance topics are genuinely significant for your business model and which deserve resource allocation. Skipping this step typically produces one of two failure modes: an overloaded ESG programme that attempts to address everything and achieves little, or a superficial one that misses the risks most likely to affect business value.
Under the European Sustainability Reporting Standards, companies must apply a double materiality logic — assessing both the financial materiality of ESG factors (how they affect business performance) and impact materiality (how the company's operations affect environment and society). This dual lens is more demanding than traditional single-materiality approaches, but it also produces more robust strategic insight. Even companies not yet subject to CSRD benefit from applying this logic, since it reflects how sophisticated investors and enterprise customers are beginning to evaluate suppliers and portfolio companies.
A practical materiality process involves three phases. First, identify the universe of potentially relevant ESG topics using sector-specific frameworks — SASB standards provide a useful starting point, particularly for industry-specific issues. Second, assess significance through stakeholder engagement: surveys, structured interviews, and focus groups with employees, customers, investors, and supply chain partners. Third, prioritise by combining quantitative impact estimates with stakeholder salience scores to produce a defensible materiality matrix.
The experience from implementation projects shows that most mid-market companies initially overestimate the complexity of this process and underestimate how much it accelerates subsequent strategy development. A well-executed materiality assessment typically takes four to eight weeks and pays for itself in avoided effort downstream — particularly when it comes to selecting the right KPIs and reporting scope.
With material topics identified, the next step is establishing where your organisation actually stands. A current state assessment creates the baseline against which all future ESG progress is measured. Without it, target-setting becomes arbitrary and reporting lacks credibility.
The assessment should systematically review three dimensions. On the environmental side, this means quantifying energy consumption, greenhouse gas emissions across all relevant scopes, water usage, and waste generation. For companies with complex operations or manufactured products, a preliminary life cycle assessment can reveal where emissions and material impacts concentrate across the value chain. On the social side, the assessment examines workforce composition and diversity metrics, employee turnover rates, health and safety incident rates, and labour practice standards in the supply chain. Governance review covers board composition and independence, ethics and anti-corruption policies, transparency of executive remuneration, and the existence of formal risk management processes.
A frequently overlooked dimension at this stage is climate risk exposure. Physical and transition climate risks — from asset vulnerability to carbon pricing exposure — need to be inventoried alongside operational ESG performance. This becomes particularly important as TCFD-aligned and ESRS-aligned reporting increasingly requires scenario-based climate risk disclosure.
The baseline also serves a practical commercial function. When large customers or investors request ESG data — and that request is arriving earlier and more frequently — having structured baseline metrics available dramatically reduces response time and demonstrates organisational maturity. Companies that have done this preparation describe the difference as significant: instead of scrambling to compile data under deadline pressure, they can respond with audited figures and methodology documentation.
ESG programmes fail for many reasons, but insufficient executive ownership ranks near the top of the list. The organisational structures that consistently produce results are those where ESG accountability sits at C-suite level — not as a side responsibility but as a primary mandate. Whether that is a CFO, a Chief Sustainability Officer, or a dedicated ESG lead depends on company size and structure, but the key criterion is authority: the ability to marshal cross-functional resources, resolve competing priorities, and make binding commitments on behalf of the organisation.
Governance design should address several practical questions. Who is responsible for data collection across business units? What is the escalation path for material ESG risks identified in operations? How does ESG performance connect to executive compensation? And critically, what is the board's role in oversight — reviewing strategy, approving targets, or simply receiving periodic reports?
For mid-market companies, the pragmatic answer often involves a small, empowered ESG steering committee rather than a large dedicated function. Typically this includes the CFO or COO, the head of procurement (for supply chain topics), the HR lead (for social metrics), and either an internal sustainability coordinator or an external advisory partner. This structure keeps the programme lean while ensuring functional coverage.
An aspect that deserves more attention than it typically receives: aligning ESG governance with existing risk management infrastructure. Rather than building a parallel system, integrating ESG risk identification into established risk committees and audit processes creates efficiency and ensures that material ESG risks receive the same rigour as financial or operational risks. This integration also tends to satisfy auditors and investors more effectively than standalone ESG governance structures.
ESG KPI selection is where strategy becomes measurable — and where many companies either over-engineer (tracking 200 metrics with poor data quality) or under-deliver (reporting only the figures that look favourable). The objective is a focused set of metrics that reflects your material topics, meets the expectations of your primary reporting audiences, and can realistically be measured with available data infrastructure.
Greenhouse gas emissions remain the anchor metric for most environmental programmes. At minimum, this means Scope 1 (direct emissions from owned sources) and Scope 2 (purchased energy) — both required under most mandatory frameworks. Scope 3 emissions — upstream and downstream value chain impacts — are increasingly expected, particularly for companies subject to CSRD or those whose customers are reporting Scope 3 themselves. Beyond GHG: energy consumption (total and by source), water withdrawal and consumption, waste generation and diversion rates, and for relevant sectors, land use or biodiversity metrics.
Companies with physical products should consider product-level carbon footprinting as a complement to operational emissions accounting. This becomes particularly relevant when enterprise customers begin requesting product carbon footprints as part of their own Scope 3 calculations.
Employee-related metrics typically include total workforce headcount and turnover rate, gender and diversity ratios (particularly in leadership), health and safety incident rates (LTIFR and TRIFR), and training hours per employee. Supply chain social metrics — covering labour standards, modern slavery risk, and supplier diversity — are gaining importance as human rights due diligence requirements expand under the EU's Corporate Sustainability Due Diligence Directive.
Community investment and customer satisfaction metrics are relevant for consumer-facing businesses and those with significant local environmental or social footprints. The key discipline is selecting metrics that reflect genuinely material social impacts rather than simply those that are easy to report positively.
Standard governance metrics include board independence ratio, board diversity (gender, background, tenure), the existence and scope of ethics and anti-corruption policies, number of confirmed policy violations, and executive pay ratio. For companies in regulated industries or those with significant public procurement exposure, compliance and legal proceedings data become additionally relevant.
One governance metric increasingly scrutinised by institutional investors: the proportion of executive compensation linked to ESG performance. This signals organisational commitment more credibly than policy statements alone and is becoming a standard expectation in ESG due diligence processes. You can find a structured overview of required and recommended metrics in our ESG metrics guide for 2026.
Selecting metrics without framework alignment creates reporting fragmentation. The practical approach for most mid-market companies involves starting with GRI or SASB as a voluntary global baseline, layering in ESRS requirements if EU reporting obligations apply or are anticipated, and ensuring that climate-related disclosures align with TCFD or ISSB S2 requirements. These frameworks are increasingly converging, which reduces the duplication burden — but navigating the alignment still requires deliberate mapping work.
A completed materiality assessment, baseline metrics, and defined KPIs provide the raw material for an implementation roadmap. The roadmap converts strategic intent into sequenced, resourced, time-bound initiatives — and without it, ESG programmes tend to stall at the planning stage.
Effective roadmaps distinguish between three time horizons. Quick wins (0–6 months) are initiatives that require minimal investment, demonstrate early momentum, and build internal credibility — typically involving data infrastructure improvements, policy formalisation, and supplier engagement kickoffs. Medium-term initiatives (6–24 months) address the material topics identified in the assessment through operational changes, target-setting against recognised standards, and reporting framework implementation. Long-term strategic commitments (24+ months) align with science-based pathways — for example, SBTi-validated net zero targets or biodiversity commitments aligned with TNFD recommendations.
Each roadmap initiative should specify the responsible function, required resources, expected outcome, and measurement approach. This level of specificity serves two purposes: it forces realistic planning discipline internally, and it provides the evidence base for investor and customer communication. Vague commitments — "we will reduce our carbon footprint" — have lost credibility. Specific, time-bound targets with defined measurement methodologies are what sophisticated stakeholders now expect.
Prioritisation within the roadmap should reflect both materiality scores and implementation feasibility. Some of the highest-impact ESG initiatives — transitioning to renewable energy through power purchase agreements, for example — have become significantly more accessible for mid-market companies over the past three years. Others, like comprehensive Scope 3 supply chain engagement, require phased multi-year programmes. The roadmap should sequence accordingly.
ESG data quality is the execution challenge that most significantly differentiates high-performing programmes from superficial ones. The common pattern in early-stage ESG programmes: data is scattered across multiple systems (ERP, HR, finance, facilities management), collected inconsistently across business units, and assembled manually in spreadsheets under reporting deadlines. This approach does not scale and creates real audit risk as verification requirements increase.
Before gathering data, establish which frameworks and standards define your reporting obligations. Under CSRD, companies must align with ESRS requirements, which demand structured, traceable, and auditable data collection. The data collection system should therefore be designed with audit-readiness as a baseline requirement, not an afterthought. Research indicates that 92% of companies planning ESG reporting intend to adopt software solutions — and the experience from implementation projects confirms that purpose-built ESG data management tools significantly reduce the time and error rate associated with manual collection processes.
Three data collection principles consistently hold across company sizes. First, assign data ownership explicitly: each metric should have a named responsible person accountable for accuracy and timeliness. Second, automate wherever feasible — direct integrations with utility providers, ERP systems, and HR platforms reduce manual effort and improve data consistency. Third, establish a documentation trail from data source to reported figure. This is essential for external assurance and increasingly required by auditors reviewing CSRD-aligned reports.
On framework selection: ESG integration and CSRD reporting for medium-sized companies covers the practical framework choices in detail. The key decision point is whether to lead with voluntary disclosure (GRI, SASB, CDP) or to build directly toward mandatory compliance (ESRS). For companies anticipating CSRD scope entry within three years, building toward ESRS compliance from the outset is the more efficient path — even if initial reporting is voluntary.
Communication is the final component of this step. Producing a credible sustainability report requires decisions about format, assurance level, publication channel, and update frequency. Increasingly, sustainability reporting is integrated with financial reporting rather than published as a standalone document — a trend that reflects the mainstreaming of ESG into investor analysis. Critically, every public claim about sustainability performance must be substantiated and verifiable. The EU Green Claims Directive is raising the evidential bar for environmental marketing claims significantly.
One of the most consistent gaps in available ESG guidance is the failure to distinguish meaningfully between the strategic context facing an early-stage startup and a mature mid-market company. The frameworks are largely the same, but the sequencing, emphasis, and resource allocation differ substantially.
Startups face a specific tension: ESG frameworks were designed for established corporations with stable operations, structured reporting processes, and dedicated compliance functions. Applying them wholesale to a 30-person Series A company produces compliance theatre rather than genuine sustainability management. The more productive approach is to identify the ESG dimensions that are material given the current business model and investor expectations, establish lightweight but credible measurement processes for those dimensions, and build toward fuller framework compliance as the organisation scales.
For venture-backed startups, the primary driver of ESG engagement is typically investor pressure rather than regulatory obligation. Positioning for Article 9 VC funds requires demonstrating measurable environmental or social impact, not just ESG policy compliance. The distinction between ESG (risk management and operational standards) and impact (the societal effect of the product or service itself) is particularly important here — investors in climate and impact funds are evaluating both dimensions.
Unlocking ESG Value for Startups and Venture Capital: A Practical Guide has its own set of common pitfalls — from incomplete Scope 3 accounting to using inaccurate emission factors — that differ from the challenges facing larger organisations. Addressing these early prevents the rework cost of rebuilding a flawed measurement system as the company grows.
Mid-market firms face a different set of challenges. The primary pressure often comes from supply chain dynamics: enterprise customers requiring Scope 3 data, banks incorporating ESG criteria into lending assessments, and insurance providers beginning to price climate risk explicitly. Research from mid-market surveys indicates that 82% of respondents consider ESG very or extremely important to their business strategy — yet many lack the structured programmes to back that view with credible data.
The mid-market ESG implementation challenge is fundamentally one of resource allocation: building a programme rigorous enough to satisfy investor and customer expectations without overinvesting in compliance infrastructure relative to the business's scale. This argues for a pragmatic, materiality-driven approach that concentrates resources on the topics most relevant to the specific business model and sector. Interesting in this context is the finding that mid-market companies are increasingly reprioritising ESG initiatives to reflect their industries and organisational goals — moving away from generic frameworks toward more targeted programmes with a defensible link to financial performance.
One area where mid-market firms consistently underinvest relative to impact: supply chain ESG engagement. Given that the supply chain typically accounts for the majority of Scope 3 emissions and many social risk exposures, even relatively modest supplier engagement programmes can generate disproportionate ESG performance improvement.
The first best practice is also the most frequently violated: start with materiality, not with the reporting template. Companies that begin by filling in a GRI index or a CSRD data template before completing a materiality assessment invariably produce reports that are comprehensive but not strategically coherent. The template should follow from the strategy, not drive it.
Second, treat greenwashing risk as a real operational risk. Scrutiny from regulators, investors, and media has intensified significantly, and the consequences of overstated or unsubstantiated ESG claims — reputational damage, regulatory action, investor divestment — are material. Credible ESG communication requires that every public claim is backed by auditable data and methodology documentation. The trend toward third-party assurance of sustainability reports, even where not yet mandatory, reflects a recognition that self-reported ESG data has limited credibility with sophisticated stakeholders.
Interestingly, a counterintuitive trend has emerged alongside increased greenwashing scrutiny: "greenhushing" — the deliberate reduction of public ESG communication to minimise regulatory and reputational exposure. While understandable as a short-term risk management tactic, particularly in polarised political environments, this approach tends to undermine stakeholder trust and obscure genuine progress. The more durable strategy is conservative, well-evidenced communication rather than silence.
Third, align reporting cadence with business planning cycles. ESG data that feeds into strategic reviews and budget planning creates internal value beyond compliance. This alignment also helps embed ESG metrics into performance management systems — a prerequisite for sustained execution rather than one-time reporting exercises.
Fourth, invest in assurance readiness from the start. As external assurance requirements expand under CSRD and ISSB standards, companies that have built audit-grade data collection processes will face significantly lower transition costs than those that need to retrofit documentation and controls. The experience from early CSRD implementation waves confirms that data trail documentation — from source data to reported figure — is the most common gap requiring remediation before audit.
Fifth, integrate ESG questionnaire responses with the core reporting programme. Mid-market companies typically receive multiple ESG questionnaires annually — from customers, banks, insurance providers, and investors. Managing these as a coordinated programme drawing from a single verified data repository is far more efficient than responding to each in isolation.
Several developments are reshaping ESG implementation priorities in 2026 and warrant specific attention in strategy planning.
Physical climate events now rank as the top external ESG-related risk factor for companies in current CEO surveys — ahead of regulatory and market factors. This shifts the emphasis of climate strategy from emissions reduction alone to integrated climate risk management that covers both transition and physical risk exposure. Companies using RCP and SSP climate scenario data for site-level and supply chain risk assessment are moving ahead of regulatory requirements and building analytical capabilities that will become standard within three to five years.
Water management has risen sharply in corporate priority rankings — from fifth to second place among US CEO ESG concerns between 2025 and 2026. This reflects both direct operational exposure (manufacturing, agriculture, data centres) and supply chain vulnerability. Water risk assessment is transitioning from a niche environmental metric to a mainstream business resilience consideration, particularly for companies with operations in water-stressed regions.
Nature-related financial disclosures are following the trajectory established by climate reporting a decade ago. The TNFD framework has gained significant institutional support, and the EU's biodiversity strategy is creating regulatory momentum for nature-positive business commitments. Companies with significant land use, supply chain, or water dependencies should begin integrating nature risk into their ESG programmes now — both to stay ahead of emerging requirements and because biodiversity credits and nature-positive strategies are evolving into commercially relevant instruments.
The simultaneous tightening of EU requirements and rolling back of federal US standards creates a genuine strategic complexity for internationally operating companies. The EU's CSRD, CSDDD, and EUDR represent binding obligations with significant compliance implications. At the same time, California's state-level requirements are advancing independently of federal direction. For companies operating across jurisdictions, building an ESG reporting architecture that can accommodate multiple concurrent frameworks is both more efficient and more strategically durable than optimising for a single regulatory environment.
It is worth noting that the current EU regulatory reform discussion — aimed at reducing administrative burden on smaller companies — should not be misread as a signal to reduce ESG ambition. The debate concerns scope and procedural efficiency, not the strategic importance of the underlying sustainability data. Critically, core climate and biodiversity data points remain essential — for risk management, for investor analysis, and for maintaining the market transparency that enables capital allocation toward genuinely sustainable business models. Companies that use reform discussions as a reason to defer ESG implementation are likely to find themselves poorly positioned when the next reporting cycle requires the data they chose not to collect.
As companies advance their decarbonisation strategies, the balance between direct emissions reduction and carbon compensation requires careful strategic positioning. The distinction between carbon reduction and compensation has become commercially and reputationally significant: investors, customers, and regulators are increasingly scrutinising the extent to which net zero claims depend on offsets rather than operational emissions reductions. The credible path is prioritising absolute reductions, with compensation reserved for residual emissions that cannot be eliminated within reasonable timeframes and cost constraints.
The most effective starting point is a materiality assessment — the process of identifying which environmental, social, and governance topics are most relevant to your business model and most important to your key stakeholders. This provides the strategic focus that prevents ESG programmes from becoming overloaded or directionless. Once material topics are identified, the sequence is: establish baseline metrics for those topics, set up governance accountability at executive level, define measurable KPIs aligned with relevant reporting frameworks, and build a phased implementation roadmap with specific initiatives and timelines. The entire process typically takes three to six months to complete for a mid-market company starting without prior ESG infrastructure.
The most consistent best practices observed across mid-market ESG reporting programmes are: (1) leading with materiality rather than framework templates; (2) investing in data quality and audit-readiness from the outset rather than retrofitting documentation later; (3) assigning explicit data ownership for each metric to a named responsible person; (4) aligning reporting cadence with business planning cycles to create internal strategic value; (5) ensuring all public ESG claims are substantiated by auditable evidence to manage greenwashing risk; and (6) consolidating responses to multiple ESG questionnaires from customers, banks, and investors into a single data management programme rather than handling each in isolation.
A structured ESG implementation roadmap covers three time horizons. Short-term (0–6 months): data infrastructure setup, policy formalisation, stakeholder engagement, and quick-win operational improvements. Medium-term (6–24 months): ESG target-setting against recognised standards, supplier engagement programmes, reporting framework implementation, and material topic interventions. Long-term (24+ months): science-based emissions targets, biodiversity commitments, integrated annual reporting, and third-party assurance. Each initiative should specify the responsible function, required resources, expected measurable outcome, and review timeline. The roadmap should be formally reviewed at least annually and updated to reflect changes in materiality, regulatory requirements, and strategic priorities.
KPI selection should follow from the materiality assessment rather than from a generic list. That said, several metrics are effectively universal given current regulatory and investor expectations: greenhouse gas emissions (Scope 1 and 2 at minimum, with Scope 3 increasingly expected), energy consumption by source, water withdrawal, employee health and safety incident rates, gender diversity in leadership, and board independence. Beyond these, material-topic-specific metrics vary by sector and business model. The practical discipline is maintaining a focused, high-quality dataset rather than a comprehensive but poorly evidenced one. Metrics should align with at least one recognised reporting framework — GRI, SASB, ESRS, or ISSB S1/S2 — to ensure comparability and investor usability.
Startups face a different ESG context than established mid-market firms in several key ways. For startups, the primary driver is typically investor pressure rather than regulatory obligation — with an emphasis on demonstrating measurable impact alongside ESG operational standards. Frameworks designed for large corporations should be applied selectively, focusing on metrics material to the current stage of the business. For mid-market companies, the primary driver is increasingly supply chain pressure — enterprise customers requiring emissions and social data — combined with growing regulatory scope. The mid-market challenge is building a programme rigorous enough to satisfy external stakeholders without disproportionate investment in compliance infrastructure. Both contexts benefit from an ESG strategy grounded in materiality rather than generic framework compliance, but the specific material topics, priority KPIs, and governance structures will differ substantially.
It depends on jurisdiction, company size, and the pace of phased implementation. In the EU, CSRD currently applies to large public-interest entities and large companies above defined employee and turnover thresholds, with mid-market companies entering scope progressively through 2028. In the US, California's SB 253 applies to companies with over $1 billion in annual revenue doing business in the state, with Scope 3 reporting requirements beginning in 2027. Beyond direct regulatory obligations, indirect pressure through supply chains means that many mid-market companies face effective ESG reporting requirements from enterprise customers regardless of their direct regulatory status. Building ESG reporting infrastructure proactively — before it is mandatory — consistently proves more cost-efficient than reactive compliance implementation under deadline pressure.
Greenwashing risk is managed through three disciplines: substantiation (every public ESG claim must be backed by auditable, methodology-documented data), precision (avoid broad claims like "sustainable" or "carbon neutral" without specific scope and methodology disclosure), and consistency (public communications must align with internal targets and reporting). Third-party verification or assurance of sustainability reports provides additional credibility and is increasingly expected by institutional investors. The EU Green Claims Directive is significantly raising the evidential bar for environmental marketing claims — all companies communicating sustainability performance to EU market audiences should review their claims against these emerging requirements. The counter-intuitive but durable approach is conservative, specific communication rather than aspirational language without verification.
ESG and sustainability consultant based in Hamburg, specialised in VSME reporting and climate risk analysis. Has supported 300+ projects for companies and financial institutions – from mid-sized firms to Commerzbank, UBS and Allianz.
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