Cisco Systems — all ratios
Every ratio computed across all reporting years where the inputs are available (2020-2025). Each card shows the ratio, value for the selected year, trend over time, and peer benchmark.
Carbon intensity
The five canonical intensities: Revenue, Operational (OpEx), Economic (EVIC), Asset (PP&E + leased), and Workforce (per FTE). Same five as the headline tiles on the company hero.
Revenue intensity
Industry-standard reference for comparability with CDP/MSCI.
Operational intensity
OpEx is structurally stable; carbon-per-OpEx removes margin distortion. The procurement-relevant comparison.
Economic intensity
EU/SFDR PAI 3, EU CTB and PAB, TCFD-recommended. EVIC reflects emissions per unit of all capital deployed (equity + debt + minority interest + cash) so it's robust to capital-structure differences.
Asset intensity
Asset intensity using full Scope 1+2+3, consistent with the other headline intensities (Operational/Economic/Revenue) for apples-to-apples comparison.
Workforce intensity
The most complete view of per-person emissions — captures delivery model, supply chain and travel.
Scope-mix
How emissions are distributed — diagnostic of what kind of company this actually is.
Business travel as % of Scope 3
Diagnostic for delivery model — how dependent the firm is on travel.
Purchased goods & services as % of Scope 3
Largest Scope 3 line for most service firms. High share = vendor management is the carbon lever.
Scope 1 as % of total
High Scope 1 % flags direct combustion / fleet — different abatement path to office-based services.
Scope 2 as % of total
High Scope 2 % means electricity procurement is the biggest lever — pair with §4.3 renewable %.
Scope 2 location-vs-market gap
Size of carbon reductions claimed via REC/PPA purchases. Read it as a share of location-based Scope 2: ~0 = market ≈ location (little instrument reliance, the numbers are physical); up to ~30% = moderate; >50% = most of the reported Scope-2 reduction comes from market instruments (RECs/PPAs) rather than physical change. A large gap isn't inherently bad, but it means the headline depends on procurement, not grid decarbonisation at the sites.
Renewable electricity %
Key Scope 2 lever. A firm at 90% renewable has very different abatement remaining to one at 20%.
Disclosure quality
Signal of how trustworthy the numbers are.
Scope 3 categories disclosed
Undisclosed is not zero. A firm reporting only travel + purchased goods has a structurally lower Scope 3 number than a firm that also reports use-of-sold-products.
Verification rate (Reverberate confidence)
Reverberate-internal proxy for data quality — the share of this year's metrics we hold at high extraction confidence (≥ 0.8). How it's computed: every extracted metric carries a 0–1 confidence (1.0 = explicit value with a clear label + unit; 0.6 = found in narrative; 0.4 = inferred from context). This is the unweighted count of metrics at ≥ 0.8 over the total — it is NOT scope- or category-weighted, so a firm reporting many easy fields can score highly even if a key Scope 3 figure is low-confidence. Treat it as 'how cleanly disclosed', not 'how complete'.
Financial context
Operational context that helps interpret the carbon ratios.
Total revenue
Top-line scale. Pairs with Total OpEx + Net profit to give a P&L-style read of the business before the carbon ratios are layered on.
Total OpEx
Operations growing fast? Then absolute-emissions targets are harder to hit. Useful for interpreting whether a flat trajectory means efficiency gains or stagnation.
Total net profit
Bottom-line scale. Negative values indicate a loss-making year — useful context for interpreting capex and decarbonisation ambition.
OpEx as % of revenue
Inverse margin proxy. Used to sanity-check OpEx-vs-revenue divergence (the methodological reason for using OpEx as the carbon denominator).
Total FTE
A firm growing headcount 20%/yr will struggle to hit absolute reduction targets without intensity gains. Interpret CO2e/FTE alongside this.
Revenue per FTE
Productivity proxy. Useful context when interpreting CO2e/FTE — a highly-leveraged firm should have lower per-person emissions if the model works.
Capital-deployed (extended)
Variants of the asset + economic intensities — Scope 1+2-only and infrastructure-only Scope 3 cuts — for diagnostic comparison alongside the headline §1 cards. Plus financed emissions (PCAF) for asset managers + marginal intensity for capex efficiency.
CO2e per $m PP&E + leased — Scope 1+2
Carbon intensity of long-term physical infrastructure on the balance sheet. Surfaces stranded-asset risk: a real-estate-heavy firm with a high number is locking in fossil-era infrastructure.
CO2e per $m PP&E + leased — Scope 1+2 + S3 cat 8/13
The full physical-infrastructure view, including leased upstream and downstream assets. Cleaner than total Scope 3 because we restrict to the infrastructure-relevant categories (cat 8 + cat 13).
CO2e per $m EVIC — Scope 1+2 only
The Scope 1+2-only EVIC intensity — the cleanest cross-firm capital-aligned comparison, free of Scope 3 disclosure variance.
Financed emissions per $m invested (PCAF, Scope 3 cat 15)
PCAF attribution of investee emissions to the financier. The standard for asset managers, banks, and insurers reporting under net-zero commitments.
Marginal carbon intensity (3yr Δemissions / Δcapex)
Forward-looking, not static. Asks: of the capital this firm is deploying right now, is it decarbonising the business or locking in fossil infrastructure? Two firms with identical static intensity can look very different here.
Trajectory
Per-target progress against base year, plus the 1.5°C-aligned pathway as an independent benchmark.
near termScope 1 + 2
on track⚠ Base year value approximated from earliest extracted reporting year. Real base-year value will be used once the 2019 report is extracted.
near termScope 3
off track⚠ Base year value approximated from earliest extracted reporting year. Real base-year value will be used once the 2019 report is extracted.
long termScope 1 + 2+3
off track⚠ Base year value approximated from earliest extracted reporting year. Real base-year value will be used once the 2019 report is extracted.