GHG Protocol · ESRS E1 · Professional Services

Scope 3 Emissions Estimator
for Professional Services

Estimate Scope 3 emissions for professional services firms including audit, consulting, legal, and advisory practices. Business travel and employee commuting dominate, with purchased IT and cloud services forming a growing share of the Scope 3 profile.

GHG PROTOCOL · LIVEv2026.04ESRS E1 · IFRS S2

Scope 3 emissions, documented.
Not just estimated.

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scope3.conf
categories.csv
README.md
01// engagement— GHG Protocol Ch. 3
02entity_name=
03reporting_period=
04currency=
05sector=
08// scope_3_categories— GHG Protocol Table 5.1
09selected=none
★ = typically material for All sectors (median). Missed: cat. 1, 2, 4, 6, 7.
27// materiality_and_exclusions— GHG Ch.6 · ESRS 1.133
Relevance tests performed for each Scope 3 category (GHG Ch.6):
28
29
30
31
32
33
35exclusion.rationale=
Materiality + exclusions (GHG Ch.6 + ESRS 1.133)
38// data_quality_and_sources— GHG Ch.7 · data hierarchy
Data-quality hierarchy applied:
39
40
41
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45data_sources.narrative=
Data quality + sources (GHG Ch.7)
48// intensity_metrics— GHG Ch.9 · ESRS E1-5
49revenue_millions_eur=MEUR
50num_employees=FTE
51prior_year_scope3=tCO2e
52scope1_total=tCO2e
53scope2_total=tCO2e
Intensity metrics (GHG Ch.9 / ESRS E1-5)
56// sector_benchmark— CDP 2023 median · tCO2e/M€
Enter revenue (above) to compare against the All sectors (median) sector median (120 tCO2e/M€).
Sector benchmark · CDP 2023 median
60// sensitivity— ±25% total emissions
Enter activity data to see sensitivity analysis.
Sensitivity · ±25% scenarios
65// risk_warnings— ISSA 5000 / ISAE 3410 · rule engine
Enter activity data to run risk analysis.
Risk warnings · rule engine (ISSA 5000)
70// disclosure_and_conclusion— IFRS S2.29 · ESRS E1-6
Tick disclosure items addressed in FS / sustainability report:
71IFRS S2.29(a)(iii) · ESRS E1-6
72ESRS E1-6(58)
73IFRS S2.29(a)(iv) · ESRS E1-6(62)
74ESRS E1-6(63)
75GHG Protocol Ch.6 · ESRS E1-6(57)
76ESRS E1.45
77ESRS E1-6(54)
78ESRS 1.89
79ESRS E1-4
80ESRS E1-1
81ESRS 1.81
82ESRS 1.133
84prepared_by=
85reviewed_by=
99conclusion.narrative=
Disclosure + conclusion · IFRS S2.29 + ESRS E1-6
awaiting input·0 categories · 2 fieldsEUR·ESRS E1 · IFRS S2
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Scope 3 emissions estimation for Professional Services

Professional services firms (audit, legal, consulting, advisory, recruitment, architecture, engineering) have a Scope 3 profile that looks deceptively simple but carries material reporting obligations under CSRD. The four largest professional services Scope 3 categories are Category 6 (business travel), Category 7 (employee commuting), Category 1 (purchased goods and services, dominated by IT equipment, cloud computing, and office supplies), and Category 8 (upstream leased assets, primarily office space leased under operating leases). For the large professional services networks, business travel dwarfs all other categories. PwC's FY2023 ESG report disclosed 586,000 tonnes CO2e from business travel alone, compared to total Scope 1 and Scope 2 of approximately 200,000 tonnes. Deloitte reported similar proportions. For smaller firms, the ratio shifts toward commuting and office-related emissions, but business travel remains the single largest Scope 3 line for any firm whose practitioners visit client sites.

The technical considerations for professional services Scope 3 are straightforward compared to manufacturing or energy, but data collection presents practical challenges. Business travel data should be extracted from the firm's travel management company (TMC) or corporate booking platform, covering flights (by cabin class and distance band), rail journeys, hotel nights, and hire car usage. Expense claims for taxis and personal vehicle use must be captured separately, and these unmanaged travel expenses are often incomplete. DEFRA publishes emission factors for all travel modes by distance band and cabin class that map directly to booking data. For employee commuting, firms must either survey staff or estimate using national transport statistics. Survey response rates in professional services typically run at 30% to 50%, which is adequate if the sample is representative by office location. Category 1 has shifted significantly as firms have moved IT infrastructure to cloud providers: server room electricity that was once Scope 2 has moved to Scope 3 Category 1 (purchased cloud services), and the firm must now obtain emission data from AWS, Azure, or GCP to account for these emissions.

Assurance providers reviewing professional services Scope 3 find recurring issues with travel data completeness. Firms that capture managed travel (booked through the TMC) but miss unmanaged travel (booked directly, expensed separately) understate Category 6 by 10% to 25%. Hotel night emissions are frequently omitted entirely, despite DEFRA publishing hotel stay emission factors by country that produce material figures for firms with high travel volumes. Employee commuting surveys that do not account for hybrid working patterns (three days office, two days home, or similar) overstate commuting emissions. Conversely, firms that assume all staff are hybrid without survey data may understate commuting for client-facing staff who attend client sites five days per week. Category 8 presents a boundary question: does the leased office energy fall in Scope 2 (if the firm pays the energy bill) or Scope 3 Category 8 (if the landlord pays)? The answer depends on the lease structure and must be consistently applied across all locations.

For professional services firms using this estimator, begin with your travel management data. Extract all flights by distance band (short-haul under 3,700 km, long-haul over 3,700 km) and cabin class, then apply DEFRA aviation emission factors including radiative forcing uplift. Add rail, hotel, and ground transport. For employee commuting, run an annual survey asking for commuting distance, mode, and days per week in the office (accounting for hybrid patterns). If survey data is unavailable, use ONS or equivalent national statistics for average commuting distance by region, adjusted for your office locations. For purchased IT services, obtain emission reports from your cloud providers and add embodied carbon from IT hardware purchases (laptops, monitors, phones) using manufacturer lifecycle assessment data or generic factors per device type. For leased offices, determine whether energy is landlord-supplied or tenant-procured, and classify accordingly as Scope 2 or Scope 3 Category 8.

Frequently asked questions: Professional Services

How should a consulting firm handle business travel emissions when staff fly business class?
DEFRA publishes separate emission factors by cabin class. Business class occupies more floor space per passenger than economy, so the per-passenger-km emission factor is higher (approximately 2.5 to 3 times economy class for long-haul flights). Report using the actual cabin class booked. Do not average across economy and business class bookings, as this understates the emissions of business class travel and overstates economy. For firms where business class is standard for partner travel, the cabin class mix has a material effect on the total Category 6 figure.
Is radiative forcing included in aviation emission factors?
DEFRA emission factors for flights include an option to apply a radiative forcing (RF) multiplier of 1.9 to account for the non-CO2 climate effects of aviation (contrails, nitrogen oxides at altitude, water vapour). GHG Protocol Scope 3 guidance recommends including RF effects. Including RF approximately doubles the CO2e figure for flights compared to CO2-only factors. Report with RF included and note the multiplier in your methodology documentation. Some frameworks require RF to be reported separately from CO2, so check the specific requirements of your reporting regime.
What emission factors should we use for hotel stays?
DEFRA publishes per-night emission factors for hotel stays by country, based on average hotel energy consumption. These factors range from approximately 10 kg CO2e per night in countries with low-carbon grids (France, Sweden) to approximately 40 kg CO2e per night in countries with carbon-intensive grids (India, China, South Africa). If your firm uses specific hotel chains that publish their own per-night carbon intensity data (Hilton LightStay, IHG Green Engage), use the chain-specific data in preference to DEFRA country averages. For firms with 50,000 or more hotel nights per year, this category produces thousands of tonnes CO2e.
How do we account for the shift from on-premises IT to cloud computing?
When your firm migrated from on-premises servers to cloud infrastructure, the electricity consumption moved from your Scope 2 (or Scope 1 if you had diesel backup generators) to your Scope 3 Category 1 (purchased cloud services). Your total emissions may decrease (cloud providers achieve better power usage effectiveness than most on-premises server rooms), but the emissions do not disappear. Obtain the cloud provider's emission report for your workloads and include it in Category 1. AWS, Azure, and GCP all provide customer-level emission data. Add any remaining on-premises IT equipment energy consumption in Scope 2.

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