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Audit-Ready Financed Emissions Reporting for Commercial Banks

Track PCAF-aligned Scope 3 Category 15 emissions across corporate loans, SME lending, project finance, and commercial real estate portfolios.

The Industry Hotspot: Financed Emissions Dwarf Operational Carbon

95-99% of footprint in financed emissions

For commercial banks, 95-99% of carbon footprint lives in Scope 3 Category 15 (financed emissions) from loan portfolios. A $10B corporate loan book to fossil fuel, steel, and cement companies can generate 1-5 million tCO2e annually—500-2,500x the bank's operational emissions from branches and offices. NetNada automates PCAF calculations, tracks borrower emissions data quality, and generates Net Zero Banking Alliance-aligned disclosures.

SASB Industry Definition

Commercial banks accept deposits and make loans to individuals and corporations, and engage in lending to infrastructure, real estate and other projects. By providing these services, the industry serves an essential role in the functioning of global economies and in facilitating the transfer of financial resources to their most productive capacity. The industry is driven by the volume of deposits, quality of loans made, the economic environment and interest rates. The risk from mismatched assets and liabilities further characterises the industry. The regulatory environment governing the commercial banking industry witnessed significant changes in the wake of the 2008 global financial crisis and continues to evolve today. These and other regulatory demands may affect performance. Commercial banks with global operations must manage new regulations in many jurisdictions that are creating regulatory uncertainty, particularly regarding the consistent application of new rules.

View SASB Standard →

Industry-Specific Carbon Accounting

No generic solutions. Metrics, data sources, and reporting aligned to Commercial Banks operations.

PCAF-Aligned Financed Emissions Calculation

Automated calculation: Borrower Emissions × Attribution Factor (Outstanding Loan ÷ [EVIC + Debt]). Handles 4 asset classes: corporate loans, SME loans, project finance, commercial real estate. Updates quarterly with refreshed borrower data.

PCAF Standard aligned

Borrower Emissions Data Integration

Import borrower Scope 1+2 emissions from CDP disclosures, sustainability reports, and third-party databases (Trucost, S&P Global). Flag missing data; apply sector averages with PCAF Data Quality Score 4-5.

Multi-source data integration

Sectoral Decarbonization Analysis

Track financed emissions by borrower sector (oil & gas, utilities, steel, cement, real estate). Identify high-emission exposures. Model portfolio decarbonization scenarios (e.g., '25% reduction by 2030').

Sector-level tracking

Net Zero Banking Alliance Reporting

Generate NZBA-required disclosures: baseline financed emissions, sector targets, annual progress, borrower engagement. Support SBTi Financial Institutions Net-Zero (SBTi FI) target submission.

NZBA-compliant reporting

Climate Risk Scenario Analysis

Model loan portfolio under NGFS climate scenarios (orderly 1.5°C, disorderly 2°C, hot house 3°C+). Estimate credit losses from stranded assets, carbon pricing, physical climate damage.

TCFD scenario analysis

Green Loan Taxonomy Alignment

Tag loans to EU Taxonomy-eligible activities (renewable energy, green buildings, electric vehicles). Calculate % of loan book that is Taxonomy-aligned. Support green bond reporting.

EU Taxonomy tracking

Product Features for Commercial Banks

Use our Scope 3 Calculator to automate PCAF financed emissions calculations across all loan portfolio asset classes. Learn more →

Commercial Banks Case Studies

How entities in this industry use NetNada to solve carbon accounting challenges.

ASX-Listed Regional Bank ($25B loan book)

Challenge

AASB S2 required Scope 3 Category 15 disclosure. Had loan data but no borrower emissions data for 80% of SME customers.

Solution

Used NetNada PCAF calculator with sector average emission factors for SMEs (PCAF Data Quality Score 4). Engaged top 50 corporate borrowers (70% of book) for primary data (Score 2). Completed baseline calculation in 8 weeks.

Result

Disclosed $25B portfolio generates 850,000 tCO2e financed emissions. Set 25% reduction target by 2030. Received limited assurance from EY.

Commercial Bank (NZBA Member)

Challenge

Committed to net zero financed emissions by 2050. Needed sectoral targets for oil & gas, power generation, steel, cement per NZBA requirements.

Solution

NetNada calculated baseline financed emissions by sector. Modeled IEA Net Zero Scenario decarbonization pathways. Set sector targets: Power -50% by 2030, Oil & Gas -30% by 2030, Steel -25% by 2030.

Result

Published sector targets 6 months after NZBA commitment. Tracking quarterly progress. Shifted $500M lending from fossil fuel to renewable energy projects.

SASB Disclosure Topics for Commercial Banks

Material sustainability topics beyond emissions that investors and stakeholders expect disclosed per SASB standards.

Financed Emissions

environment

Calculate Scope 3 Category 15 using PCAF methodology across corporate loans, SME lending, project finance, commercial RE. Report absolute emissions, attribution factors, and data quality scores (1-5).

Transition Risk in Loan Portfolio

business model

Report % of loan book to carbon-intensive sectors (oil & gas, coal mining, utilities, heavy industry). Assess borrower transition plans and stranded asset risk.

Climate Risk Integration

governance

Disclose climate risk integration in credit underwriting. Report % of loans with climate risk assessment. Track climate-related loan loss provisions.

Green Lending and Sustainable Finance

business model

Report green loan origination volumes. Track % of loan book aligned to EU Taxonomy or Australian Sustainable Finance Taxonomy. Disclose renewable energy project finance.

Data Security & Customer Privacy

governance

Track data breaches, customer data incidents, and compliance with privacy regulations. Report cybersecurity investments.

Financial Inclusion

social

Report SME lending access, underserved community branches, and responsible lending practices. Track financial literacy program reach.

NetNada tracks all SASB material topics, not just emissions. Our platform supports disclosure across environmental, social, governance, and business model topics relevant to your industry.

Commercial Banks FAQs

Common questions about carbon accounting for this industry

How do you calculate financed emissions for SME loans without borrower emissions data?
PCAF allows sector-based approach for SMEs: Loan Amount × Sector Emission Factor (tCO2/$M revenue). Example: $500k loan to manufacturing SME × 250 tCO2/$M revenue (manufacturing average) = 125 tCO2e financed. Data Quality Score = 4 (sector average). Improves to Score 2 if SME reports actual emissions.
What's the difference between EVIC and Market Cap in PCAF calculation?
EVIC (Enterprise Value Including Cash) = Market Cap + Total Debt - Cash. Used in denominator for listed companies. For private companies without market cap, use Book Value of Equity + Debt. Attribution Factor = Outstanding Loan ÷ EVIC for listed, or Outstanding Loan ÷ Total Debt for unlisted.
How do you avoid double-counting with Scope 3 Category 15?
Banks report financed emissions from loans they originate. If loan is syndicated, each bank reports their share (participation amount ÷ total loan size × borrower emissions). If loan is securitized and sold, originating bank removes from financed emissions; buyer reports. Clearly disclose on- vs off-balance sheet treatment.
Can you track financed emissions for project finance separately?
Yes. PCAF has specific methodology for project finance: Project Emissions × (Bank Debt ÷ Total Project Cost). Example: $100M wind farm, $60M debt (your bank $20M share), 5,000 tCO2e from construction = $20M/$100M × 5,000 = 1,000 tCO2e financed. Track separately from corporate loans due to different risk profile.
What data quality score should we target for financed emissions?
PCAF Score 1 (reported data) or Score 2 (physical activity data) for 70%+ of loan book is best practice. Large banks achieve Score 1-2 for 80% of corporate loans (via CDP, reports), Score 4 for SMEs (sector averages). Investors compare Data Quality Score across peer banks—higher score = more credible disclosure.

Calculate PCAF Financed Emissions Across Your Loan Portfolio

See how commercial banks automate PCAF calculations, track borrower emissions data, and meet NZBA and AASB S2 requirements—without manual spreadsheets.