PCAF Motor Vehicle Loans Calculator — Financed Emissions & Carbon Intensity
Compute attributed vehicle emissions and per-kilometre carbon intensity for motor-vehicle lending and leasing under the PCAF Global GHG Accounting and Reporting Standard v2 (2024), Annex 7.6, with vehicle-value attribution, the distance-and-fuel emissions chain, and auto-derived data quality scoring per vehicle.
Attribution formula (per vehicle):
Financed emissions = (Outstanding amount ÷ Total vehicle value at origination) × Vehicle annual emissions (Scope 1 tailpipe + any Scope 2 charging)
The denominator is the total value of the financed vehicle at the point of loan origination — not the current resale value, not the borrower’s wider asset base. This is the structural pivot of PCAF’s motor-vehicle asset class: attribution runs against the financed vehicle itself, fixed at origination, and held stable across reporting periods for the life of the loan. The same denominator computed at origination is reused in subsequent years, so year-over-year trend comparison isolates change to the numerator (outstanding amount and vehicle emissions), not to a depreciating asset value.
Vehicle emissions, not borrower emissions. The numerator is the vehicle’s annual operational emissions — the fuel it burns and, for an electric vehicle, the electricity it draws — not the emissions of the borrower or any business the borrower runs. A loan secured on a single car attributes that car’s tailpipe combustion (Scope 1) plus, where relevant, the emissions of the grid electricity used to charge it (Scope 2), regardless of who drives it or what they do for a living. Where fuel or electricity consumption is metered, the calculator multiplies the measured quantity by the relevant emission factor; where only distance and efficiency, or only vehicle type, are known, it estimates down the PCAF data quality ladder.
The distance-and-fuel chain. Motor vehicles differ from property: the emissions are not building energy but combustion per kilometre travelled. The calculator accepts vehicle activity at descending levels of fidelity: (1) actual fuel or electricity consumed, multiplied by the carrier emission factor; (2) known annual distance combined with a vehicle-specific efficiency (litres per 100 km, or kWh per km), multiplied by the carrier factor; (3) a vehicle-type or segment average emission factor (kg CO₂e per km) multiplied by an estimated distance. Each rung maps to a PCAF data quality score. Liquid-fuel combustion uses the DEFRA 2026 mobile-combustion factor read from the MasterBrain; electric-vehicle charging uses the location-based grid factor by country code; a per-km vehicle factor uses the DEFRA passenger- or delivery-vehicle factor for the matching segment.
Use-of-collateral is the asset-class gate. Motor vehicle loans under Annex 7.6 cover lending and leasing where the financing is secured on, or directly funds, an identifiable motor vehicle — cars, vans, motorbikes, and commercial road vehicles. A general-purpose corporate loan to a transport company is business loans (Annex 7.2), attributed against the company’s book value. A loan or lease secured on a specific vehicle or fleet is motor vehicle loans (Annex 7.6), attributed against that vehicle’s value. Every position belongs to exactly one asset class.
Physical intensity is per-kilometre. Where commercial real estate reports carbon per square metre, motor vehicles report carbon per kilometre (and, for shared or passenger transport, per passenger-kilometre). This is the vehicle-native intensity metric — directly comparable across the fleet, directly responsive to the two levers a lender can influence (vehicle efficiency and the shift from combustion to electric drive), and the metric that maps onto road-transport decarbonisation pathways. The calculator surfaces it alongside the absolute financed figure.
Data quality scoring is auto-derived. The score for each vehicle is constructed from the input shape — actual fuel consumed, known distance with vehicle-specific efficiency, or a vehicle-type average with estimated distance — never self-assigned. PCAF v2 assurance procedures specifically look for evidence the score is built from inputs rather than asserted.
Excluded asset classes: general-purpose corporate lending to a transport or leasing company goes to business loans & unlisted equity; positions in listed automotive or fleet-operating companies go to listed equity & corporate bonds; financing the construction of transport infrastructure on a project-recourse basis goes to project finance; residential property to mortgages; commercial buildings to commercial real estate. Each has its own attribution mechanics under PCAF v2.
Absolute financed emissions are currency-independent; intensity metrics use the reporting currency.
UK emission factors (DEFRA 2026) — most defensible for GBP-financed vehicles.
Attribution uses the vehicle value at loan origination (purchase price) — not the current value or the loan balance (PCAF §5.6). Leave the value blank if unknown → a conservative 100% attribution is applied.
Beyond PCAF MVL scope — report as a separate Scope 3 Cat 3 line.
Audit mode exposes per-loan attribution provenance for verification.
Add motor vehicle loans above and click Calculate
Absolute financed emissions, economic and physical intensity, an auto-derived PCAF data-quality score, a data-quality scenario, an optional well-to-tank companion, and a full audit trail appear after calculation.
Results are indicative, intended for PCAF financed-emissions screening of motor vehicle loan portfolios. For regulatory disclosure (CSRD/ESRS E1, TCFD, CDP, SBTi for Financial Institutions), use the total vehicle value at loan origination as the attribution denominator (PCAF §5.6); where the origination value is unknown, PCAF requires a conservative 100% attribution. Prefer actual fuel/energy or odometer distance where available, and disclose the portfolio-weighted data quality score alongside absolute financed emissions per PCAF §6. The PCAF motor-vehicle boundary covers operational Scope 1 (fuel combustion) and Scope 2 (EV electricity) only — production and end-of-life emissions are not required, and the well-to-tank companion (Scope 3 Cat 3) must be reported separately. Report financed emissions separately from your own operational inventory. GreenCalculus does not apply FX rates: enter intensity-metric inputs in a single reporting currency.
Motor vehicle loans are the PCAF asset class where the carbon is measured in kilometres, not square metres or balance-sheet lines. The financed emissions of a car loan are the emissions of the journeys the car makes — the diesel in the tank, the petrol burnt at the forecourt, or the grid electricity drawn into the battery. That makes vehicle lending unusually direct: the emissions are a physical function of distance and drivetrain, and a single switch — combustion to electric — changes the trajectory of the financed figure for the entire life of the loan.
This calculator implements PCAF v2 Annex 7.6 with vehicle-value attribution, the full distance-and-fuel emissions chain, auto-derived data quality scoring, and a per-kilometre carbon-intensity figure that tracks the road-transport decarbonisation a lender can actively finance.
Financed emissions for a motor vehicle loan equal the outstanding amount divided by the vehicle value at origination, multiplied by the vehicle’s annual emissions. The vehicle’s own fuel or charging, not the borrower’s, is the unit of accounting.
What motor vehicle loans cover in PCAF v2
PCAF v2 Annex 7.6 covers lending and leasing secured on, or directly funding, an identifiable motor vehicle — the financing exists against a specific car, van, motorbike, or commercial road vehicle whose operational emissions are the source of the attributed figure. The defining feature is the use-of-collateral qualifier: the position is secured on a specific vehicle, and that vehicle’s fuel or electricity consumption is what the calculator attributes.
Where this sits in the inventory — Scope 3 Category 15
For financial institutions with auto-loan, fleet-finance, hire-purchase, or vehicle-leasing books, motor vehicle loans is the asset class where the activity data is most physical and the decarbonisation lever most binary. A vehicle either burns liquid fuel or it does not; the shift from combustion to electric drive is the single largest change a lender can finance, and it shows up directly in the attributed figure. PCAF — the Partnership for Carbon Accounting Financials — provides the methodology layer that the GHG Protocol Scope 3 Standard cross-references for the financial sector. PCAF v2, published in December 2024, kept the nine-asset-class architecture established in PCAF 2020 while tightening the disclosure surface.
This calculator implements PCAF v2 Annex 7.6. It sits within the GreenCalculus PCAF cluster alongside the Listed Equity & Corporate Bonds Calculator (Annex 7.1, EVIC denominator), the Business Loans & Unlisted Equity Calculator (Annex 7.2, book-value denominator), the Project Finance Calculator (Annex 7.3, project-capitalisation denominator), the Commercial Real Estate Calculator (Annex 7.4, property-value attribution), and the Mortgages Calculator (Annex 7.5, loan-to-value attribution). It shares the same parent category and the same auto-derived data quality scoring engine, but attributes against vehicle value at origination and surfaces the per-kilometre physical-intensity metric that the property and corporate-finance asset classes do not carry.
Asset-class boundary — what’s in, what’s elsewhere
| Covered in this calculator | Out of scope — separate PCAF asset class |
|---|---|
| Personal and business loans secured on a specific car, van, or motorbike | General-purpose corporate lending to a transport or leasing company — see PCAF Business Loans & Unlisted Equity Calculator (book-value attribution) |
| Hire purchase, finance lease, and operating lease where the financing is secured on an identifiable vehicle | Listed equity in an automotive manufacturer, fleet operator, or leasing company — see PCAF Listed Equity & Corporate Bonds Calculator (EVIC denominator) |
| Fleet finance for commercial road vehicles — vans, rigid and articulated HGVs — secured per vehicle | Financing the construction of transport infrastructure (roads, depots) on a project-recourse basis — see PCAF Project Finance Calculator (project-capitalisation attribution) |
| Loans secured on electric vehicles, where charging-electricity emissions enter as Scope 2 | Loans secured on residential or commercial property — see the Mortgages (Annex 7.5) and Commercial Real Estate (Annex 7.4) calculators |
| Refinancing of a standing vehicle loan where the security remains a specific identifiable vehicle | Rail, marine, and aviation asset finance — separate PCAF treatment outside the road-vehicle Annex 7.6 scope |
The boundary between motor vehicle loans and business loans is the use-of-collateral qualifier, not the borrower’s sector. A general-purpose revolving facility to a logistics company is business loans (Annex 7.2), attributed against the company’s book equity plus book debt. A finance lease on a specific articulated lorry operated by that same company is motor vehicle loans (Annex 7.6), attributed against that vehicle’s value at origination with that vehicle’s fuel as the emissions source. The calculator selection follows the security and use-of-proceeds, not the borrower’s corporate identity.
How the calculation works — vehicle-value attribution
Each vehicle in a motor-vehicle-loan portfolio reduces to one multiplication, run for every vehicle and summed at the portfolio level:
Financed emissions (tCO₂e) = (Outstanding amount ÷ Total vehicle value at origination) × Vehicle annual emissions (Scope 1 + any Scope 2)
The ratio in parentheses — the outstanding amount divided by the vehicle value at origination — is the attribution factor. It is dimensionless, so absolute financed emissions are currency-independent: a portfolio with consistent denominators produces the same tCO₂e total whether stated in GBP, EUR, or USD. Currency only enters the economic-intensity metric (tCO₂e per £M invested).
The denominator — total vehicle value at origination, fixed
Value at origination, not current resale value
PCAF v2 Annex 7.6 specifies the total vehicle value at the point of loan origination as the denominator. This is deliberate: vehicles depreciate steeply, and using a fixed origination value rather than a falling resale value isolates year-over-year change to the numerator and the vehicle’s emissions, rather than to a depreciation curve. A vehicle that loses value does not mechanically inflate its attribution factor.
Vehicle value, not borrower value
The denominator is the value of the financed vehicle at origination — not the borrower’s income, not the operating company’s balance sheet. This is the pivot from the business-loans and listed-equity asset classes: a single vehicle, valued at a single point, against a single outstanding amount.
One financing line per vehicle
Where the institution holds more than one facility secured on the same vehicle, aggregate its own outstanding exposure into a single figure per vehicle before entry. Entering facilities as separate vehicle rows inflates the vehicle count and repeats the emissions term, which corrupts data quality scoring at the portfolio level. Pre-aggregate per vehicle.
The numerator — the vehicle’s own annual emissions
The numerator is the vehicle’s annual operational GHG emissions, scoped at the vehicle level:
- Vehicle Scope 1 (combustion vehicles) — direct tailpipe combustion of the fuel the vehicle burns: diesel, petrol, or another road fuel. For a pure-combustion vehicle this is the entire numerator.
- Vehicle Scope 2 (electric and plug-in vehicles) — the grid electricity drawn to charge the battery, at the location-based grid factor. For a battery-electric vehicle there is no Scope 1 tailpipe emission; the numerator is charging electricity alone. A plug-in hybrid carries both.
- Vehicle Scope 3 — upstream fuel production (well-to-tank) and the vehicle’s embodied manufacturing carbon are out of scope for the operational attribution in this calculator.
A common error is to attribute the borrower’s wider operational emissions — a haulage firm’s whole-fleet footprint, for instance — against a single-vehicle loan. Annex 7.6 attributes the financed vehicle’s emissions only. If a fleet operator runs two hundred vehicles and the institution finances one of them, only that one vehicle’s fuel or charging enters the calculation, attributed by that vehicle’s loan-to-value ratio. The other vehicles are either separate motor-vehicle-loan positions (if separately financed) or out of scope entirely.
The distance-and-fuel emissions chain
The numerator — the vehicle’s annual emissions in tCO₂e — is constructed from activity data at whatever fidelity is available, and the fidelity determines the data quality score. The calculator accepts three input modes, in descending order of quality, and the choice of mode is the single most consequential decision in motor-vehicle carbon accounting.
Mode 1 — actual fuel or electricity (highest fidelity)
Enter measured annual consumption: litres of fuel burnt, or kWh of electricity drawn. The calculator multiplies fuel by the DEFRA mobile-combustion factor for that fuel, or electricity by the location-based grid factor, to give the vehicle’s annual emissions. This is the highest-fidelity input — the actual fuel card or charging record, not an estimate.
Mode 2 — distance × vehicle efficiency
Where consumption is not metered, enter the annual distance travelled and a vehicle-specific efficiency — litres per 100 km for a combustion vehicle, or kWh per km for an electric one. The calculator derives consumption (distance × efficiency), then applies the carrier factor. Distance is vehicle-specific and often available from odometer or telematics data; the efficiency comes from the make and model.
Mode 3 — vehicle-type average × distance
The lowest-fidelity mode: apply a vehicle-type or segment average emission factor in kg CO₂e per km — from the DEFRA passenger- or delivery-vehicle tables — to an estimated annual distance. This is used when neither consumption nor a vehicle-specific efficiency is known, only the broad vehicle class and an assumed mileage.
Why the drivetrain split matters
Combustion and electric drivetrains carry fundamentally different emission profiles, and the trajectories diverge over time: the grid factor falls every year as electricity decarbonises, while the per-litre diesel and petrol factors are essentially flat. A vehicle’s carbon intensity therefore depends heavily on its drivetrain: a battery-electric vehicle on a decarbonising grid is on a falling carbon-intensity trajectory even with no change in how far it is driven, while a diesel is not. The distance-and-fuel chain in Modes 1 and 2 captures the drivetrain explicitly; the per-km average in Mode 3 captures it only as far as the chosen vehicle class allows. Liquid-fuel factors are the DEFRA 2026 mobile-combustion set; electric-charging emissions read the grid factor through the same logic as the Scope 2 electricity calculator; and the activity-data computation of a vehicle’s own combustion is the same engine that underlies the Scope 1 mobile combustion calculator.
The single highest-value data-quality upgrade in a motor-vehicle book is moving a position from Mode 3 to Mode 2 or Mode 1 — from a class average to a make-and-model efficiency with actual distance, or to a metered fuel record. Telematics, fuel cards, and charging records are increasingly available across managed fleets. A position upgraded from a vehicle-type average to actual distance with vehicle-specific efficiency not only improves the weighted portfolio data quality score but frequently changes the emissions estimate materially, because class averages systematically misstate individual vehicles in both directions.
The PCAF data quality score for motor vehicle loans
PCAF v2 defines the same five-level data quality ladder for motor vehicle loans as for the other asset classes, but the rungs are defined in terms of vehicle-activity fidelity rather than corporate-emissions reporting. The ladder distinguishes actual fuel or electricity consumption from distance-plus-efficiency estimates and from vehicle-type averages.
| Score | Data type | Example for a motor-vehicle position | Realistic prevalence |
|---|---|---|---|
| 1 — highest quality | Actual fuel or electricity consumption (Option 1a / 1b) | Metered litres from a fuel card or kWh from a charging record; or actual distance combined with a verified make-and-model efficiency | Modest — concentrated in managed fleets with telematics or fuel-card data |
| 2 | Actual distance × vehicle-specific efficiency, estimated | Odometer or telematics distance combined with a published make-and-model efficiency, without consumption verification | Common — the target rung for an actively-managed vehicle book |
| 3 | Estimated distance × vehicle-specific efficiency | Make-and-model efficiency applied to an assumed annual mileage rather than a measured distance | Common — where the vehicle is identified but distance is assumed |
| 4 | Vehicle-type average × estimated distance | A segment or vehicle-class average (kg CO₂e per km) applied to an assumed distance, without a make-and-model efficiency | Common in books where only the broad vehicle class is recorded |
| 5 | Vehicle value × asset-class average, or broadest fallback | Only the vehicle value and a portfolio-wide class average are available — no vehicle-specific activity data at all | The fallback rung for legacy or thinly-documented positions |
The data quality score for every vehicle is derived by the calculator from the input shape — never selected by the user. Actual fuel or electricity consumption receives the highest score; actual distance with a vehicle-specific efficiency the next; estimated distance with that efficiency below that; a vehicle-type average with estimated distance lower still; and a value-and-class-average fallback the lowest. PCAF v2 assurance procedures specifically look for evidence the score is constructed from inputs, not asserted — self-assignment fails that trace by design.
Inputs this calculator needs — and where to source them
Motor-vehicle carbon accounting is a data-sourcing exercise more than a calculation exercise. The arithmetic is one multiplication; the difficulty is assembling the inputs at the highest available fidelity. The four inputs below drive every result, and each has a characteristic source hierarchy.
| Input | Unit | Primary source | Fallback source |
|---|---|---|---|
| Outstanding amount | Reporting currency | Loan or lease servicing system — drawn balance at reporting date | — |
| Total vehicle value at origination | Reporting currency | Origination invoice or on-the-road price at acquisition | Manufacturer list price for the make, model, and trim at origination |
| Vehicle activity | Litres or kWh, or km plus efficiency | Fuel-card or charging records (Mode 1); telematics or odometer distance (Mode 2) | Assumed annual mileage with a make-and-model efficiency (Mode 3) |
| Vehicle classification | Make / model / fuel / segment | Loan documentation, V5C or equivalent registration record | Broad vehicle class (car / van / HGV / motorbike) where the specific model is unknown |
Sourcing vehicle activity — the critical path
Metered consumption (best)
Actual litres from fuel-card transactions, or kWh from charge-point or in-vehicle charging records. For managed fleets and salary-sacrifice schemes the lender or the operator often holds this data directly. This is Mode 1, the highest data quality rung.
Distance plus efficiency (good)
Annual distance from odometer readings or telematics, combined with the make-and-model fuel efficiency or energy consumption. The efficiency is a published, vehicle-specific figure; the distance is measured. This is Mode 2 and a realistic target for a well-documented book.
Vehicle-type average (fallback)
Where neither consumption nor a vehicle-specific efficiency is available, apply a DEFRA passenger- or delivery-vehicle average for the matching segment to an estimated distance. This is the lowest-fidelity mode and should be used only where better data genuinely cannot be obtained.
Electric vehicles (Scope 2 path)
For a battery-electric vehicle, the activity is charging electricity in kWh, and the emissions read the location-based grid factor rather than a fuel factor. Where the kWh figure is not metered, distance combined with the vehicle’s kWh-per-km energy consumption gives the Mode 2 estimate. A plug-in hybrid splits across both fuel and electricity.
Record the fuel and drivetrain explicitly on every position, not just the vehicle value. A diesel, a petrol, a plug-in hybrid, and a battery-electric vehicle of identical price produce very different financed emissions, and the difference is invisible in the value-and-distance fields alone. The drivetrain is the field that determines whether the position reads a combustion factor or the grid factor — and it is the field that moves most over the life of an electrifying book.
Vehicle types — cars, vans, HGVs, motorbikes, and EVs
The calculator covers the full road-vehicle taxonomy, reading the matching DEFRA factor set for each class. The relevant factor depends on the vehicle type and, within it, on the segment or laden weight and the fuel.
| Vehicle class | Factor basis | Key distinctions the factor set carries |
|---|---|---|
| Passenger cars | DEFRA per-km by segment or size, and by fuel | Segment (mini through luxury, plus 4×4 and MPV) or size band, each split by fuel — petrol, diesel, hybrid, plug-in hybrid, and battery-electric |
| Motorbikes | DEFRA per-km by engine size | Small, medium, and large petrol motorbikes |
| Vans | DEFRA per-km by van class and fuel | Van classes split across diesel, petrol, battery-electric, and plug-in hybrid |
| Heavy goods vehicles | DEFRA per-km by body type, weight band, and laden percentage | Rigid and articulated HGVs across weight bands, each varying with how heavily laden the vehicle runs — a driver of per-km emissions distinct from cars |
| Electric vehicles (all classes) | Location-based grid factor on charging kWh | No tailpipe Scope 1; emissions are the grid electricity drawn, falling year-on-year as the grid decarbonises |
For the heaviest commercial vehicles, road-freight intensity overlaps with the logistics-sector methodology: the GLEC Framework provides freight-specific intensity conventions (per tonne-kilometre) that complement the per-vehicle attribution this calculator performs. Where a financed HGV is operated as part of a logistics service, the GLEC tonne-kilometre view and the PCAF per-vehicle view answer different questions and are read together.
Motor vehicle loans vs business loans and leasing
The most common classification question on a motor-vehicle book is the boundary with business loans — because the same borrower, and often the same desk, can carry both. The asset class follows the security and use-of-proceeds, not the borrower.
| Dimension | Motor vehicle loans (Annex 7.6) | Business loans (Annex 7.2) |
|---|---|---|
| What the financing is secured on | A specific identifiable vehicle or vehicles | The borrower’s general creditworthiness — no specific asset |
| Attribution denominator | Total vehicle value at origination | Borrower’s book value (equity plus debt) |
| Emissions numerator | The financed vehicle’s own fuel or charging | The borrower company’s whole operational footprint |
| Physical intensity metric | Carbon per kilometre — vehicle-native | Revenue-based intensity (WACI) — no physical equivalent |
| Decarbonisation lever observed | Combustion-to-electric switch and vehicle efficiency, directly on the book | The borrower’s enterprise-wide transition, observed only at company level |
The boundary error to avoid is classifying a general working-capital facility to a haulage or car-hire company as motor vehicle loans because the borrower operates vehicles. The asset class follows the security: an unsecured corporate facility is business loans (Annex 7.2) and attributes the company’s whole footprint against its book value, while a finance lease on a named vehicle is motor vehicle loans (Annex 7.6) and attributes only that vehicle. Mixing the two double-counts or misattributes — confirm the security and use-of-proceeds for each position before selecting the calculator.
The result components — financed total, economic intensity, per-km intensity
The calculator reports the financed-emissions figure alongside the supplementary metrics PCAF v2 recommends, with carbon per kilometre as the vehicle-native physical intensity in place of the per-square-metre figure the property asset classes carry.
| Metric | Units | What it answers | Disclosure framework |
|---|---|---|---|
| Absolute financed emissions | tCO₂e | The total emissions footprint of the motor-vehicle portfolio. | PCAF v2 (mandatory), GHG Protocol Scope 3 Cat 15, CSRD ESRS E1 |
| Economic emissions intensity | tCO₂e / £M invested | Carbon efficiency relative to capital deployed. Live only for a single-currency book. | PCAF v2 recommended supplementary metric |
| Carbon intensity per kilometre | g CO₂e / km | The vehicle-native physical-intensity metric — directly responsive to drivetrain and efficiency. | PCAF v2 supplementary metric; road-transport pathway input |
| Weighted data quality score | Score 1 to 5 | How much of the portfolio total is actual-consumption versus average-estimated, financed-emissions-weighted. | PCAF v2 (mandatory disclosure) |
Carbon intensity per kilometre is the motor-vehicle-native metric in a way no economic-intensity figure can be. It is directly comparable across vehicles regardless of price, directly responsive to the two levers a lender can influence — vehicle efficiency and the shift to electric drive — and directly meaningful to road-transport decarbonisation. Where corporate-finance asset classes lean on WACI (a revenue-based intensity that is often uninformative), motor vehicles have a genuinely physical, genuinely decision-useful intensity metric, the direct analogue of the per-square-metre figure in commercial real estate.
Worked example — a diesel car loan
This example reproduces exactly against the live calculator. It is a single financed vehicle, denominated in GBP, computed from actual annual distance and a vehicle-specific fuel efficiency — the highest-fidelity input mode. Every figure below is engine-confirmed.
Inputs
| Field | Value |
|---|---|
| Outstanding amount | £15,000 |
| Total vehicle value at origination | £30,000 |
| Fuel | Diesel (average biofuel blend) |
| Activity basis | Distance × efficiency — 12,000 km/yr at 7.0 L/100 km |
| Vehicle data | Make and model known; distance from odometer (actual) |
The calculation, step by step
| Step | Value |
|---|---|
| Attribution factor | £15,000 ÷ £30,000 = 0.5000 |
| Fuel consumed | 12,000 km × 7.0 L/100 km = 840 L |
| Emission factor | 2.57082 kg CO₂e/L — diesel (average biofuel blend), DEFRA 2025, AR5 GWP-100 |
| Vehicle emissions (Scope 1) | 840 × 2.57082 = 2,159.49 kg = 2.1595 tCO₂e |
| Financed emissions | 0.5000 × 2.1595 = 1.079744 tCO₂e (hero displays 1.08) |
| PCAF data quality score | 1 (Option 1b) |
The attribution factor is exactly 0.5000 — the loan finances half the vehicle’s value at origination, so half of the vehicle’s annual emissions are attributed to the institution. The vehicle’s own Scope 1 footprint is the fuel it burns: 840 litres of diesel a year, which at the DEFRA 2025 mobile-combustion factor of 2.57082 kg CO₂e per litre produces 2.1595 tonnes. Attributing half of that gives the financed figure of 1.079744 tCO₂e, which the hero rounds to 1.08.
Result
Reading the result — drivetrain is the lever
The instructive feature of this position is what would change if the drivetrain changed. Hold the loan identical — £15,000 outstanding against a £30,000 vehicle, the same 12,000 km a year — and replace the diesel with a battery-electric vehicle. The Scope 1 fuel emission disappears entirely; the numerator becomes the grid electricity drawn to cover the same distance, read at the location-based grid factor. On a UK grid that figure is already materially lower than the diesel’s, and it falls every year as the grid decarbonises, where the diesel’s stays flat. The attribution factor is unchanged at 0.5000 — the loan is the same — but the financed emissions, and the per-kilometre intensity, follow the drivetrain. This is the motor-vehicle equivalent of the commercial-real-estate green-tariff lever: the same financing, a very different attributed figure, driven by the energy the asset consumes rather than by the loan.
EV transition and the avoided-emissions caution
Motor vehicle loans is the asset class where the electrification narrative is most tempting to over-claim, so it is worth being precise about what PCAF attributes and what it does not.
What PCAF attributes — actual emissions
PCAF financed emissions are the vehicle’s actual operational emissions: the fuel a combustion vehicle burns, or the grid electricity an electric vehicle draws. An electric vehicle has a lower attributed figure because it produces lower actual emissions per kilometre on a decarbonising grid — not because of any displacement credit.
What PCAF does not attribute — avoided emissions
Financing an electric vehicle does not generate an avoided-emissions credit against the financed figure. The difference between the diesel that might have been bought and the electric vehicle that was bought is a counterfactual, not an inventory entry. PCAF v2 keeps avoided emissions strictly separate from financed emissions — they are not netted into the attributed total.
Why the separation matters
Netting a counterfactual avoided emission into the financed figure would understate the absolute inventory and break comparability with every other asset class, none of which net counterfactuals. The financed figure must stay an actual-emissions measure. Avoided-emissions reporting, where a lender chooses to do it, is a separate, clearly-labelled disclosure — never a deduction from the Annex 7.6 total.
Where the transition does show up
The transition shows up legitimately in two places: the absolute financed figure falls as combustion vehicles are replaced by electric ones across the book, and the per-kilometre intensity falls both with electrification and with the grid decarbonising underneath the electric vehicles. Both are real reductions in actual attributed emissions — which is exactly why they belong in the inventory and a counterfactual credit does not.
Do not report the gap between a financed electric vehicle and a hypothetical combustion equivalent as a reduction in financed emissions. That gap is an avoided emission — a counterfactual — and PCAF v2 keeps it out of the financed-emissions total. The financed figure reflects only the actual fuel and electricity the financed vehicles consumed.
Audit checklist — what gets flagged in PCAF assurance
PCAF assurance under ISAE 3000 or ISAE 3410 follows a vehicle-by-vehicle trace from raw inputs to the rolled-up portfolio total. The findings below are the most common substantive issues reviewers raise on a motor-vehicle book specifically.
01 — Current resale value used as denominator
The Annex 7.6 denominator is the total vehicle value at origination, fixed for the life of the loan — not the current resale value. Using a depreciated value inflates the attribution factor over time and breaks year-over-year comparability. Trace the denominator to the origination invoice or on-the-road price, not a current valuation.
02 — Borrower emissions attributed instead of vehicle emissions
Attributing a fleet operator’s whole-fleet footprint against a single-vehicle loan overstates the financed emissions by the ratio of the fleet to the financed vehicle. Annex 7.6 attributes the financed vehicle’s fuel or charging only. Trace the numerator to the specific vehicle’s activity data, not the operator’s enterprise inventory.
03 — Avoided emissions netted into the financed total
Deducting a counterfactual electric-versus-combustion saving from the financed figure understates the inventory and breaks cross-asset-class comparability. The financed total is an actual-emissions measure. Confirm no avoided-emissions credit has been netted into the Annex 7.6 figure.
04 — Self-assigned data quality score
A spreadsheet methodology that lets the analyst type a score next to a vehicle without the matching activity data will fail the assurance trace. The calculator’s auto-derivation engine eliminates this finding by design — the input mode writes the score. Legacy migrations from spreadsheet PCAF methodologies are where this most commonly surfaces.
05 — Drivetrain mislabelled
Recording a plug-in hybrid as a pure combustion vehicle, or an electric vehicle as if it burned fuel, applies the wrong factor entirely. The drivetrain field determines whether the position reads a fuel factor or the grid factor. Confirm the drivetrain on each position matches the registration record.
06 — Vehicle-type average used where vehicle-specific data was available
Entering a position at the lowest-fidelity vehicle-type-average mode when actual consumption or a make-and-model efficiency was obtainable understates data quality. Reviewers check whether the input mode reflects genuinely available data or analyst convenience. Use the highest-fidelity mode the data supports.
07 — Multiple facilities on one vehicle entered as separate positions
An institution holding several facilities secured on one vehicle, entered as separate rows, inflates the vehicle count and repeats the emissions term, corrupting the weighted data quality score. Pre-aggregate the institution’s exposure across facilities into one outstanding figure per vehicle before entry.
08 — Distance assumed where it could be measured
Applying an assumed annual mileage when odometer or telematics distance was available drops the position a data-quality rung unnecessarily. Where measured distance exists, use it — the difference between assumed and actual mileage is often the largest source of estimation error in a vehicle book.
Reporting context — PCAF, GHG Protocol, IFRS S2, CSRD, GLEC
Financed-emissions disclosure for motor vehicle loans sits across the standard financial-sector disclosure regimes, with the GLEC Framework relevant where the financed vehicles are operated as freight logistics. The frameworks below cover the disclosure surface a vehicle lender or fleet financier will typically navigate.
| Framework | Role for motor-vehicle financed emissions | Mandate scope | Disclosure cadence |
|---|---|---|---|
| PCAF Standard v2 (2024) Annex 7.6 | The methodology standard. Specifies vehicle-value attribution, the distance-and-fuel emissions chain, data quality scoring, and the per-kilometre intensity metric. | Voluntary methodology; adopted by financial institutions globally | Annual, aligned to the institution’s reporting cycle |
| GHG Protocol Scope 3 Standard | The accounting standard. Defines Category 15 as the line for financed emissions and cross-references PCAF as the financial-sector methodology. | Voluntary accounting standard; mandatory reference for most disclosure regimes | Same as the institution’s reporting cycle |
| IFRS S2 (ISSB) | The global disclosure baseline. Requires financed-emissions disclosure for banks and asset managers via industry guidance, including the vehicle-lending portfolio. | Mandatory in jurisdictions that have adopted IFRS S2 | Annual, aligned with financial statements |
| CSRD ESRS E1 (EU) | The EU sustainability-reporting mandate. ESRS E1 requires Scope 3 Cat 15 disclosure for in-scope financial institutions, with a methodology pointer to PCAF, GHG Protocol, or equivalent. | Large EU and non-EU companies operating in the EU, phased in | Annual sustainability statement |
| GLEC Framework | The logistics-sector intensity framework. Relevant where financed HGVs and vans are operated as freight: provides per-tonne-kilometre conventions that complement the per-vehicle PCAF attribution. | Voluntary industry framework; the de facto logistics-emissions reference | Used for freight-intensity reporting alongside financed-emissions disclosure |
SBTi target-setting follow-on
Once the financed-emissions inventory is complete across the relevant PCAF asset classes, target setting follows. The SBTi Corporate Net-Zero Standard framework provides the validation regime for science-aligned reduction targets against the financed-emissions baseline, and the SBTi Near-Term Target Calculator takes that baseline as a direct input. For road transport specifically, the electrification of the financed book is the dominant decarbonisation lever feeding the sector-pathway workflow.
Data sources, factor versioning, and update transparency
Vehicle emissions — source hierarchy
The calculator implements the PCAF v2 source hierarchy for vehicle emissions: actual fuel or electricity consumption at the top, then actual distance with a vehicle-specific efficiency, then estimated distance with that efficiency, then a vehicle-type average with estimated distance, and a value-and-class-average fallback at the bottom. The calculator does not maintain a database of individual vehicle activity; the user enters consumption, distance, or vehicle classification, and the carbon factors are applied from the MasterBrain.
Emission factors — UK-native sources
| Carrier | Source | Basis | Unit | GWP basis |
|---|---|---|---|---|
| Diesel (average biofuel blend) | UK DEFRA 2025 | Mobile combustion, road fuel | 2.57082 kg CO₂e per litre | AR5 GWP-100 |
| Petrol (average biofuel blend) | UK DEFRA 2025 | Mobile combustion, road fuel | 2.06916 kg CO₂e per litre | AR5 GWP-100 |
| Per-km vehicle factor | UK DEFRA 2025 | Passenger or delivery vehicle, by segment / weight / fuel | kg CO₂e per km | AR5 GWP-100 |
| Electric-vehicle charging | Location-based grid factor by country code | National grid average | kg CO₂e per kWh | Per grid dataset |
For non-UK vehicles, the per-km and fuel factors must be supplied from the relevant national dataset where the MasterBrain does not carry a native value for that fuel and geography, and the electric-charging factor is read from the grid factor set by country code. A multi-jurisdiction portfolio therefore mixes MasterBrain–native UK factors with user-entered factors for other geographies; the per-vehicle audit trail records which factor source applies to each vehicle. The same grid factor logic underlies the Scope 2 Electricity Calculator, and the activity-data combustion computation matches the Scope 1 Mobile Combustion Calculator.
MasterBrain versioning and update cadence
Fuel and grid factors update annually — DEFRA each June for the UK. The calculator stamps each result with the MasterBrain version against which the computation was performed, so a position computed against one vintage and the same position computed against a later vintage are distinguishable in restatement work. PCAF Standard versioning is independent of the underlying factor data — the v2 (2024) methodology applies across successive factor vintages until PCAF v3 ships.
What’s next — completing your Scope 3 Category 15 inventory
Motor vehicle loans is one of nine PCAF v2 asset classes. The other asset classes follow distinct attribution mechanics and each requires its own calculator.
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Listed Equity & Corporate Bonds
PCAF v2 Annex 7.1. EVIC denominator.
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Business Loans & Unlisted Equity
PCAF v2 Annex 7.2. Book-value denominator.
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Project Finance
PCAF v2 Annex 7.3. Project-capitalisation denominator.
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Commercial Real Estate
PCAF v2 Annex 7.4. Property-value attribution.
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Mortgages
PCAF v2 Annex 7.5. Residential loan-to-value attribution.
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Motor vehicle loans
PCAF v2 Annex 7.6. Vehicle-value attribution + per-km intensity. The calculator you just used.
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Sovereign debt (in development)
PCAF v2 Annex 7.7. PPP-adjusted-GDP attribution.
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Insurance-associated & facilitated emissions (in development)
Separate PCAF Standards. Underwriting-portfolio + capital-markets attribution.
Once the financed-emissions inventory is complete across the relevant asset classes, target-setting follows. The SBTi Near-Term Target Calculator and the broader SBTi Corporate Net-Zero Standard framework take the absolute financed-emissions baseline as a direct input. The full methodological deep-dive on motor-vehicle attribution — denominator construction, the activity-data fidelity ladder, the drivetrain split, and per-km intensity — is published on the paired PCAF Motor Vehicle Loans methodology page, and the data-quality-scoring logic shared across all PCAF asset classes is documented on the PCAF data quality score methodology page.
Frequently asked questions
The use-of-collateral qualifier. A general-purpose corporate loan to a transport or leasing company is business loans & unlisted equity (PCAF Annex 7.2), attributed against the company’s book equity plus book debt. A loan or lease secured on a specific vehicle is motor vehicle loans (Annex 7.6), attributed against that vehicle’s value at origination with that vehicle’s fuel or charging as the emissions source. The same borrower can carry both kinds of exposure, and the calculator selection follows the security, not the borrower’s corporate identity.
The total vehicle value at origination, fixed for the life of the loan. PCAF v2 Annex 7.6 specifies the origination value deliberately — vehicles depreciate steeply, and using a fixed value rather than a falling resale value isolates year-over-year change to the numerator (outstanding amount and vehicle emissions) rather than to a depreciation curve. A vehicle that loses value does not mechanically inflate its attribution factor. If the loan refinances, the origination point resets and the denominator is reconstructed.
The vehicle’s. The numerator is the financed vehicle’s own annual operational emissions — the fuel it burns or the electricity it draws — not the borrower’s wider footprint or any business the borrower runs. If a fleet operator runs two hundred vehicles and the institution finances one, only that one vehicle’s activity enters the calculation. Attributing a whole-fleet footprint against a single-vehicle loan is a common and material error that overstates financed emissions.
Three input modes in descending fidelity. Mode 1: actual fuel litres or charging kWh consumed. Mode 2: actual distance combined with a make-and-model efficiency (litres per 100 km or kWh per km). Mode 3: a vehicle-type or segment average emission factor applied to an estimated distance. If you know the model and an annual mileage, Mode 2 with the make-and-model efficiency is the right entry point — far better than the vehicle-type average. If you have a fuel card or charging record, Mode 1 is best.
A battery-electric vehicle has no tailpipe Scope 1 emission; its numerator is the grid electricity drawn to charge it, read at the location-based grid factor. On a decarbonising grid that figure is materially lower than a comparable combustion vehicle’s and falls year-on-year, while a diesel’s stays flat. The attribution factor is unchanged — the loan is the same — but the financed emissions and the per-kilometre intensity follow the drivetrain. Note that this is a genuine reduction in actual attributed emissions, not an avoided-emissions credit: PCAF keeps avoided emissions out of the financed total.
Not against the financed-emissions total. The gap between a financed electric vehicle and a hypothetical combustion equivalent is an avoided emission — a counterfactual — and PCAF v2 keeps it strictly separate from financed emissions, which are an actual-emissions measure. Netting a counterfactual into the financed figure would understate the inventory and break comparability with every other asset class. Avoided-emissions reporting, where a lender chooses to do it, is a separate, clearly-labelled disclosure, never a deduction from the Annex 7.6 total.
Because it is the vehicle-native intensity — directly comparable across vehicles regardless of price, directly responsive to the two levers a lender can influence (vehicle efficiency and the switch to electric drive), and directly meaningful to road-transport decarbonisation. It is the motor-vehicle analogue of the per-square-metre carbon intensity in commercial real estate. Where corporate-finance asset classes lean on a revenue-based WACI that is often uninformative, motor vehicles have a genuinely physical, decision-useful intensity metric.
A plug-in hybrid carries both a Scope 1 fuel emission and a Scope 2 charging emission, in the proportions the vehicle actually runs them. Where the split between electric and fuel running is metered, enter both. Where it is estimated, the calculator applies a representative split for the vehicle class. Recording the drivetrain accurately matters: labelling a plug-in hybrid as a pure combustion vehicle applies the wrong factor and is an assurance finding.
The electric-charging factor is read from the grid factor set by country code, so any country the MasterBrain covers is handled automatically for the electricity portion. The fuel or per-km vehicle factor must be supplied from the relevant national dataset where the MasterBrain does not carry a native value for that fuel and geography. A UK book reads native DEFRA factors throughout; a multi-jurisdiction portfolio mixes native factors with user-entered ones, and the per-vehicle audit trail records which source applies to each vehicle.
Yes — hire purchase, finance lease, and operating lease all fall under Annex 7.6 where the financing is secured on an identifiable vehicle. The attribution mechanic is the same: outstanding exposure divided by vehicle value at origination, times the vehicle’s emissions. What matters is that the position is secured on a specific vehicle rather than being a general-purpose facility, which would belong in business loans instead.
A single diesel car loan: £15,000 outstanding against a £30,000 vehicle value at origination, driven 12,000 km a year at 7.0 litres per 100 km. That is 840 litres of diesel, which at the DEFRA 2025 factor of 2.57082 kg CO₂e per litre is 2.1595 tonnes of vehicle Scope 1. The attribution factor is 0.5000, so the financed emissions are 1.079744 tCO₂e, displayed as 1.08. The vehicle-native intensity works out at roughly 180 g CO₂e per kilometre.
No — the calculator attributes operational emissions only: the fuel burnt (Scope 1) or the grid electricity drawn (Scope 2). Upstream fuel production (well-to-tank) and the vehicle’s embodied manufacturing carbon are Scope 3 and out of scope for the operational financed-emissions figure. Those are complementary reporting layers, not part of the Annex 7.6 operational attribution this calculator produces.
Methodology notes and limitations
Methodology version. Calculator implements PCAF Global GHG Accounting and Reporting Standard for the Financial Industry v2 (December 2024), Annex 7.6 (Motor Vehicle Loans). Inventories computed under earlier versions remain auditable against the corresponding methodology version stamp; institutions transitioning to v2 should re-run their portfolio and document the version transition.
Asset-class boundary. Motor vehicle loans only — lending or leasing secured on an identifiable road vehicle. General-purpose corporate lending to a transport company uses the book-value denominator and belongs in the Business Loans & Unlisted Equity Calculator. Listed automotive or fleet companies use the EVIC denominator and belong in the Listed Equity & Corporate Bonds Calculator. Property, sovereign exposures, and insurance-associated emissions all have separate attribution mechanics and are out of scope for this tool.
Operational scope. The calculator attributes operational vehicle emissions — Scope 1 tailpipe combustion and, for electric and plug-in vehicles, Scope 2 charging electricity. Well-to-tank upstream fuel emissions and the vehicle’s embodied manufacturing carbon are out of scope for the operational financed-emissions figure.
Avoided emissions excluded. The financed-emissions total is an actual-emissions measure. The counterfactual saving from financing an electric vehicle in place of a combustion one is an avoided emission and is never netted into the Annex 7.6 figure. Avoided-emissions reporting, where undertaken, is a separate and clearly-labelled disclosure.
Activity-data sourcing. The calculator does not maintain a database of individual vehicle activity. The user enters actual consumption, actual or estimated distance with a vehicle-specific efficiency, or a vehicle classification; the carbon factors are applied from the MasterBrain. The calculator takes the entered activity data at face value.
Denominator taken as published. The calculator uses the total vehicle value at origination the user enters; it does not independently compute it. The user is responsible for confirming the input is the origination value (not a depreciated resale value), is vehicle-level (not borrower-level), and is constructed consistently across the portfolio.
Data quality score is auto-derived. The user provides inputs (consumption, distance and efficiency, or a vehicle-type average); the calculator writes the score per PCAF v2’s scoring rules. Self-assignment is not supported by design — this is a deliberate constraint to satisfy PCAF v2 assurance procedures.
No assurance opinion. Results produced by this calculator are estimates. They do not constitute a PCAF assurance opinion and should be reviewed by a qualified financed-emissions practitioner before use in regulatory submissions, IFRS S2 disclosures, CSRD ESRS E1 datapoints, or SBTi target filings. For an assurance-grade output, the per-vehicle audit trail (attribution factor, denominator basis, activity-input mode, factor source, score derivation, drivetrain) should be exported and reconciled against primary source documents on a position-by-position basis. The full methodological deep-dive is published on the paired PCAF Motor Vehicle Loans methodology page, with the shared scoring logic on the PCAF data quality score methodology page.