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Investments import with XLSX

The Investment XLSX Import feature allows you to bulk upload your entire investment portfolio data into the GHG emissions tracking system. This powerful tool enables you to import companies, households, securities, properties, vehicles, emission records, valuations, and investment exposures all in one structured Excel file.

  1. Navigate to your project dashboard
  2. Click on Data Imports in the navigation menu
  3. Select Investment Uploads
  4. Click New Investment Upload button

Before creating your import file, download our official template that contains all required sheets with the correct column headers:

  1. Click Download Template on the upload page
  2. The template file investments_import_template_v1.xlsx will be downloaded
  3. Open the file and review the sheet structure

Your XLSX file must contain exactly 8 sheets in the following order:

Contains information about companies in your investment portfolio.

Column Description Required Example
company_external_id Your unique identifier Yes COMP001
name Company name Yes Acme Corporation
registration_code Company registration number No 12345678
lei Legal Entity Identifier No 529900HNOAA1KXQJUQ27
nace_code Industry classification code No 62.01
country ISO country code Yes US
is_listed Is publicly traded? Yes true/false
latest_total_assets Total assets (numeric) No 1000000
latest_net_turnover Annual revenue (numeric) No 500000
latest_financial_year Year of financial data No 2023

For individual investors or households (used for mortgages and personal loans).

Column Description Required Example
household_external_id Your unique identifier Yes HH001
country ISO country code Yes US
region State/Province/Region No California

Stock and bond securities information.

Column Description Required Example
security_external_id Your unique identifier Yes SEC001
company_external_id Reference to Companies sheet Yes COMP001
isin International Securities ID Yes US0378331005
security_type Type of security Yes stock/bond
currency ISO currency code Yes USD

Real estate properties used as collateral or direct investments.

Column Description Required Example
property_external_id Your unique identifier Yes PROP001
country ISO country code Yes US
floor_area Area in square meters No 150
collateral_registration_date Date registered No 2023-01-15
energy_cert_type Energy certificate type No EPC
energy_cert_class Energy efficiency class No B
energy_cert_level Energy consumption kWh/m²/year No 120
energy_cert_valid_to Certificate expiry date No 2028-01-15
construction_year Year built No 2010
renovation_year Last major renovation No 2020
property_category Type of property No residential

Motor vehicles financed or used as collateral.

Column Description Required Example
vehicle_external_id Your unique identifier Yes VEH001
vin Vehicle Identification Number No 1HGBH41JXMN109186
fuel_type Type of fuel Yes gasoline/diesel/electric/hybrid
year_of_manufacture Manufacturing year Yes 2022

GHG emissions data for companies, properties, and vehicles.

Column Description Required Example
source_kind Type of source Yes company/property/vehicle
source_external_id Reference to source Yes COMP001
reporting_year Year of emissions Yes 2023
scope GHG Protocol scope Yes 1/2/3
amount_tCO2e Emissions in tonnes CO2e Yes 1250.5
data_quality_score PCAF quality score (1-5) No 2
data_method Calculation method No actual
provider Data provider name No Company Report
nace_code Industry code (if applicable) No 62.01

Asset valuations for calculating attribution factors.

Column Description Required Example
source_kind Type of asset Yes company/security/property/vehicle
source_external_id Reference to asset Yes COMP001
valuation_date Date of valuation Yes 2023-12-31
valuation_basis Basis of valuation Yes market_value
value_amount Valuation amount Yes 1000000
currency ISO currency code Yes USD

Your actual investment positions and loans.

Column Description Required Example
exposure_external_id Your unique identifier Yes EXP001
type Investment type (see below) Yes Investments::ListedEquity
counterparty_kind Type of counterparty Yes company/household
counterparty_external_id Reference to counterparty Yes COMP001
exposable_kind Type of asset No security/property/vehicle
exposable_external_id Reference to asset No SEC001
outstanding_amount Amount invested/loaned Yes 100000
currency ISO currency code Yes USD
valuation_date Date of valuation Yes 2023-12-31
units Number of shares (equity only) No 1000
face_value Bond face value No 100000
contract_number Loan contract ID No LOAN123
loan_type Type of loan No term_loan
maturity_date Loan/bond maturity No 2028-12-31
collateral_value Value of collateral No 150000
collateral_id Reference to collateral No PROP001

The system supports 9 investment types following PCAF methodology:

  • Investments::ListedEquity - Publicly traded stocks
  • Investments::UnlistedEquity - Private company equity
  • Investments::CorporateBond - Corporate bonds
  • Investments::BusinessLoan - Commercial loans to companies
  • Investments::ProjectFinance - Infrastructure/project financing
  • Investments::CommercialRealEstate - Direct property investments
  • Investments::Mortgage - Residential property loans
  • Investments::MotorVehicleLoan - Vehicle financing
  • Investments::SovereignBond - Government bonds
  1. Gather all investment data from your portfolio management systems
  2. Map your data to the required columns in each sheet
  3. Ensure data quality:
  • All external IDs must be unique within their sheet
  • Referenced IDs must exist (e.g., company_external_id in Securities must exist in Companies)
  • Financial years should be between 2000 and next year
  • All amounts should be positive numbers
  1. Navigate to Investment Uploads
  2. Click Choose File or drag and drop your XLSX file
  3. The file will begin processing immediately
  4. Wait for the upload to complete (larger files may take a few moments)

After processing, you’ll see a comprehensive results page showing:

  • Total records processed
  • Successfully imported (created + updated)
  • Failed records requiring attention

For each sheet, you’ll see:

  • Number of records created (new)
  • Number of records updated (existing)
  • Number of records that failed validation

If there are errors:

  1. Review the error details showing:
  • Sheet name
  • Row number
  • External ID
  • Specific error message
  1. Click Download Error Report to get a CSV file
  2. Fix the errors in your source file
  3. Re-upload the corrected file
  1. Required Fields: All columns marked as “Required” must have values
  2. Unique Constraints:
  • ISIN codes must be unique within your project
  • LEI codes must be globally unique
  • External IDs must be unique within each sheet
  1. Reference Integrity:
  • All referenced external IDs must exist in their respective sheets
  • Import sheets in the correct order to ensure references are valid
  1. Date Formats: Use YYYY-MM-DD format (e.g., 2023-12-31)
  2. Boolean Values: Use true/false (lowercase)
  3. Country Codes: Use 2-letter ISO codes (e.g., US, GB, DE)
  4. Currency Codes: Use 3-letter ISO codes (e.g., USD, EUR, GBP)
  • Amounts: Must be positive numbers (≥ 0)
  • Financial Years: Between 2000 and current year + 1
  • Valuation Dates: Should be recent and consistent
  • Data Quality Scores: Integer between 1 (best) and 5 (worst)
  • Remove duplicate records before import
  • Standardize company names and identifiers
  • Verify all reference relationships
  • Create a mapping between your internal IDs and external IDs
  • Keep this mapping for future updates
  • Use meaningful prefixes (e.g., COMP_, SEC_, PROP_)

For large portfolios:

  1. Start with a subset of data to test
  2. Verify the import works correctly
  3. Proceed with the full dataset
  • Schedule regular imports (monthly/quarterly)
  • Use the same external IDs to update existing records
  • The system will automatically update rather than duplicate

Assign PCAF data quality scores accurately:

  • Score 1: Audited GHG emissions data
  • Score 2: Non-audited GHG emissions data
  • Score 3: Average data from peer companies
  • Score 4: Proxy data based on region/sector
  • Score 5: Estimated data with high uncertainty

Problem: Referenced external ID doesn’t exist Solution: Ensure all sheets are present and IDs match exactly (case-sensitive)

Problem: Duplicate ISIN or LEI codes Solution: Check for duplicates in your data or existing system records

Problem: Data doesn’t meet validation rules Solution: Review the specific field requirements and format

Problem: File is too large or wrong format Solution:

  • Ensure file is .xlsx format (not .xls or .csv)
  • Split very large files into smaller batches
  • Check file isn’t corrupted

If you encounter issues:

  1. Download the error report CSV for detailed information
  2. Review this documentation for requirements
  3. Contact support with:
  • Your error report
  • Description of the issue
  • Sample of problematic data (anonymized if needed)

After successful import:

  1. Verify Data: Review imported records in the Investments section
  2. Calculate Emissions: Run financed emissions calculations
  3. Generate Reports: Use the reporting tools to analyze portfolio emissions
  4. Set Targets: Establish emission reduction targets based on baseline

The system recognizes multiple column name variations for flexibility:

  • company_external_id: company_id, external_id, id
  • name: company_name, entity_name
  • registration_code: reg_code, company_number
  • latest_total_assets: total_assets, assets
  • latest_net_turnover: revenue, turnover, sales
  • security_external_id: security_id, external_id, id
  • security_type: type, instrument_type
  • property_external_id: property_id, external_id, id
  • floor_area: area, size, sqm
  • energy_cert_class: energy_class, epc_rating
  • exposure_external_id: exposure_id, external_id, id
  • outstanding_amount: amount, balance, exposure_amount
  • valuation_date: date, as_of_date

Note: While aliases are supported, using the primary column names ensures the best compatibility.