Direct emissions
738
tCO2e
Explore carbon emissions data for NOVA University Lisbon. Mycelium helps you review reported emissions, disclosure status, Scope 1, Scope 2 and Scope 3 data, climate targets and sustainability information in one company profile.
This profile brings together available carbon emissions data for NOVA University Lisbon, including reported figures, modelled estimates, disclosure documents and sustainability indicators, so you can review its emissions and compare its performance against similar companies. It is one entry in the Mycelium emissions database. Read how we source and check this data.
Total yearly emissions across all scopes
37,156tCO2e(Market Based)(Mycelium adjusted)
NOVA University Lisbon reported 96% of the adjusted total. Mycelium estimated the remaining 4% for the categories it did not disclose.
Scope 1
tCO2e
738
Scope 2 (Market Based)
tCO2e
2,298
Scope 3 total
tCO2e
34,120
Not yet checked against the source report
Something wrong? Contribute to this dataset
See the scope breakdownBased on reported data, retrieved with AI
According to available emissions disclosures, NOVA University Lisbon reported total yearly emissions of 35,802 tCO₂e in 2024. Scope 3 emissions accounted for 95% of the reported footprint, indicating supply chain activity, purchased goods and services, business travel, and wider operational dependencies were the most significant contributors to the company's carbon footprint.
The company does not have a Mycelium Score for 2024, because there is no revenue figure on file to measure its carbon intensity.
Direct emissions from sources the company owns or controls, such as fuel use, facilities and vehicles.
Direct emissions
738
tCO2eIndirect emissions from purchased energy, including electricity, heating and cooling.
Location based
2,310
tCO2eMarket based USED IN TOTAL
2,298
tCO2eWider value chain emissions across the 15 GHG Protocol categories, from purchased goods and business travel to investments, where reported.
Cat 1
Purchased goods & services
10,773
tCO2eCat 2
Capital goods
7,679
tCO2eCat 3
Fuel & energy related activities
706
tCO2eCat 4
Upstream transportation & distribution
11
tCO2eCat 5
Waste generated in operations
712
tCO2eCat 6
Business travel
1,816
tCO2eCat 7
Employee commuting
1,680
tCO2eCat 8
Upstream leased assets
2
tCO2eCat 9
Downstream transportation & distribution
9,061
tCO2eCat 10
Processing of sold products
–
tCO2eCat 11
Use of sold products
–
tCO2eCat 12
End-of-life treatment of sold products
–
tCO2eCat 13
Downstream leased assets
1,680
tCO2eCat 14
Franchises
–
tCO2eCat 15
Investments
–
tCO2eCells marked “–” were not disclosed, and Mycelium can't model them without a revenue figure for NOVA University Lisbon, which it doesn't have yet.
Website
–
Country
Portugal
Jump straight into the sectors users explore most, or view all industries.
The Mycelium Score is out of 10. Up to 6.5 points reflect carbon intensity vs peers in the same NACE section (emissions normalised against revenue, log-scaled between the 5th and 95th percentile of each company's latest reporting year in that section; a section needs at least 5 companies to be benchmarked). The band above 6.5 is earned through verified data quality on a claimed profile: declaring every reporting category yourself (up to 2.0), preparation by a carbon accountant (2.0) and independently audited figures (2.0). The total is multiplied by the transparency score and capped at 10. A disclosure with an implausibly large figure (Scope 1 or 2 over 300 million tonnes, a Scope 3 figure over 2 billion tonnes or a total over 2.5 billion tonnes) is not scored until it has been checked.
A higher score means lower carbon intensity than sector peers, backed by data that's third-party verified, claimed by the company, and fully disclosed. Without a revenue figure to measure carbon intensity, or an industry classification to compare it within, a company has no score.
The Transparency Score is the share of a company's estimated footprint that it reported itself, graded from A (very high) down to F (very low). Where a category is missing, Mycelium models what it would hold for a company of that size and industry and counts it as undisclosed, so an unreported category where the bulk of emissions sit hurts far more than a minor one. Unreported downstream categories (9 to 15) count at a quarter of their modelled size in this share; the carbon intensity behind the score still counts them in full. A Scope 3 total filed without a category breakdown earns very little credit for the part left unattributed, because it does not show which categories are inside it: a company can count business travel, leave purchased goods out entirely, and the total looks the same. Without a revenue figure the footprint cannot be modelled, so the company has no Transparency Score.
NOVA University Lisbon has disclosed the categories that carry most of its estimated footprint, so there's no single bucket dragging the transparency score down. The breakdown above shows which figures are reported and which are modelled.
In its 2024 reporting year, NOVA University Lisbon disclosed total emissions of 35,802 tCO2e across all scopes. Including Mycelium estimates for undisclosed categories, the adjusted total is 37,156 tCO2e. Scope 3 accounted for the largest share of the reported total, around 95%.
For 2024, NOVA University Lisbon's available disclosure covers Scope 1 (738 tCO2e), Scope 2 (2,298 tCO2e) and Scope 3 across 10 of the 15 GHG Protocol categories. Figures not reported by the company are shown as modelled estimates and labelled as such.
Mycelium measures sustainability through carbon emissions data rather than giving a yes or no verdict. NOVA University Lisbon does not have a Mycelium Score for 2024 yet. The emissions figures and disclosure documents on this page give the fuller picture.
Carbon emissions are one measurable part of environmental impact, and the part Mycelium tracks. NOVA University Lisbon disclosed 35,802 tCO2e for 2024. It does not have a Mycelium Score yet to compare that with similar companies in its sector.
Learn more about our methodology and where this data comes from.