By: Johannes Fiegenbaum on 5/21/25, 10:35 AM · Last updated October 5, 2026
ESG metrics are the indicators a company uses to measure environmental, social and governance performance, from Scope 1 to 3 emissions and energy use to the gender pay gap and board independence. Most ESG dashboards carry 40 or more of them and prove nothing. Seven carry the regulatory and investor weight; the rest is documentation.
This guide gives the definition and the frameworks behind it, the seven indicators worth steering by with their units and denominators, the quantitative versus qualitative distinction, and what the data on real disclosure looks like in practice.
An ESG metric is a defined measurement of a company's environmental, social or governance performance, with a unit, a reporting boundary and a period. Without a stated boundary and denominator, a figure is a number, not a metric, and it cannot be compared across years or companies.
Metrics are tracked for three reasons that rarely arrive together: regulation asks for specific data points, mostly under the European Sustainability Reporting Standards (ESRS); investors, lenders and insurers ask for a smaller set they can model, mostly emissions, energy and governance; and management needs a handful it can actually influence within a budget cycle.
| Standard or framework | Type | What it covers |
|---|---|---|
| ESRS (under CSRD) | Mandatory EU standard | Double materiality across environmental, social and governance topics |
| GRI Standards | Voluntary global standard | Broad, stakeholder-oriented sustainability reporting |
| SASB Standards | Investor-focused, sector-specific | Financially material ESG topics by industry |
| IFRS S1 / S2 (ISSB) | Investor-focused standard | Sustainability- and climate-related financial disclosure |
| TCFD recommendations | Framework, now absorbed into IFRS S2 | Climate governance, strategy and risk management |
A standard prescribes data points and how to calculate them, which is how the ESRS, the GRI Standards and IFRS S1 and S2 work. A framework prescribes a structure for what to talk about rather than the numbers themselves, which is how the TCFD recommendations operated before IFRS S2 absorbed them. A questionnaire is a buyer's or rater's own list, mapped loosely to the standards and never identical to them. One metric set, built once at the level of the data point, answers all three.
These are the seven metrics investors, lenders and regulators request by name. Each needs the stated denominator to be usable, not just the number.
| Metric | Unit / formula | What to watch |
|---|---|---|
| GHG emissions, Scope 1, 2 and 3 | t CO2e gross; Scope 2 market based and location based | Scope 3 has 15 categories; usually three or four dominate |
| Emissions intensity | t CO2e per million EUR net revenue | Report alongside the absolute figure, same boundary |
| Energy consumption and renewable share | MWh total; renewable MWh divided by total MWh | Green tariffs need a contractual instrument behind them |
| Water and waste | m³ withdrawal and consumption; diversion rate | Disposal invoices record containers, not mass |
| Workforce diversity and pay gap | Percent women per level; unadjusted pay gap | Standards ask for the unadjusted figure |
| Health and safety | Recordable injuries per million hours worked | Track near-miss reporting alongside it |
| Governance: board independence and ESG-linked pay | Percent independent directors; percent variable pay tied to targets | Needs a named target, weighting and payout to count as a metric |
Scope 3 is where the work sits: calculate the dominant categories with supplier or activity data and keep spend-based factors only where a category is immaterial, since a spend-based total moves with prices rather than with anything a company did. Governance is the block where wording most often substitutes for measurement: a remuneration disclosure that mentions ESG without naming the target is a narrative, not a metric.
The standards distinguish numeric data points from narrative ones, and the distinction decides how much work a metric is. Quantitative metrics resolve to a number in a defined unit: tonnes of CO2e, megawatt hours, a percentage. They are comparable and auditable, because each one needs a data source and a boundary. Qualitative metrics are narrative disclosures with a required content structure rather than a value, such as the description of a transition plan or of a due diligence process. They are easy to get wrong, because assurance providers test them against evidence, not against wording.
An example: Scope 1 emissions in tonnes of CO2e for the reporting year is quantitative. The same company's account of how its transition plan is governed and monitored is qualitative. Both are mandatory data points where they apply, and a qualitative disclosure without a quantitative anchor somewhere in it reads as a statement of intent.
Metric lists describe what should be reported. What is actually reported is a different question, and it is the one worth asking before committing to a metric set. My own corpus for this is more than 1,000 extracted European CSRD and ESRS reports, which makes it possible to see which data points companies really publish rather than which ones the standards require.
The most useful finding so far concerns completeness, not sector medians: across more than 1,000 public reports in the corpus, 67 percent contain complete Scope 1, 2 and 3 data, and 14 percent publish no extractable Scope figures at all (data as of September 2026). In 8 percent of the reports that do give a Scope 3 figure, Scope 3 comes out smaller than Scope 1 or 2 combined, a methodological red flag rather than a genuine result. Presence in a data point is not the same as comparability in it: much of the published data lacks the boundary and denominator statements that would let a reader put two companies side by side. A modest, well-bounded report still beats a long one.
Most of what goes wrong is structural, not technical:
Quantitative metrics resolve to a number in a defined unit, such as tonnes of CO2e, and are comparable and auditable. Qualitative metrics are narrative disclosures with a required content structure, such as a transition plan description. Both are mandatory data points where they apply.
A standard prescribes data points and their calculation, as the ESRS, GRI and IFRS S1 and S2 do. A framework prescribes what to address rather than how to measure it, as TCFD did before IFRS S2 absorbed it. A questionnaire is a customer's or rating agency's own list, mapped loosely to the standards.
The overlap is largest in climate: IFRS S2 requires gross Scope 1, 2 and 3 emissions and transition plan information that map closely to ESRS E1. The differences are mainly scope: ESRS applies double materiality across environmental, social and governance topics, while the ISSB standards address investor-relevant risk.
The metrics that matter most are board independence, board diversity, whether executive pay is formally tied to named sustainability targets, and the strength of anti-corruption and whistleblowing controls. Investors examine governance first, because weak oversight undermines every environmental and social figure reported.
Run a double materiality assessment first, then promote only the metrics tied to topics that survive it, five to ten at most, each with a target, an owner and a review cycle. The rest stays documented but not managed.
ESG metrics are the measurements a company collects. ESG KPIs are the subset it steers by, each tied to a target, an owner and a review cycle. Every KPI is a metric, but not every metric is a KPI.
ESG and sustainability consultant based in Hamburg, specialised in VSME reporting, carbon accounting and climate risk analysis. Works with mid-sized companies, investors and financial institutions, and built the VSME reporting software VSEasy.
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