Emitwise Financial Model
Climate/Energy Startup Financials (Free Excel Download)
B2B SaaS platform automating corporate carbon footprint tracking, reporting, and reduction using machine learning.
professionals from Deloitte
Used by professionals from






About this model
Emitwise provides enterprise carbon-accounting software for Scope 1, 2, and 3 emissions. Its Monitor, Report, and Reduce modules automate data collection, auditable reporting, hotspot analysis, and supplier engagement in place of spreadsheet-led compliance work.
The product is sold as B2B SaaS through enterprise sales and partnerships, with a land-and-expand path across business units and supply chains. In its May 2020 deck, the company reported new large clients, referenceable case studies, and a Q4 pipeline, although financial metrics were redacted.
The model should use an enterprise ARR waterfall: quarterly new logos, ACV, renewals, churn, and expansion revenue. It should also make the operating trade-off explicit, linking sales hiring and long enterprise cycles with ML/data-platform R&D, gross margin, cash runway, and the stated emissions-reduction impact targets.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Emitwise
emitwise.com
How to build a detailed financial model for Emitwise
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Emitwise model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Platform covers Scope 1, 2, and 3 carbon emissions tracking.
- Three core modules: Monitor (real-time automated emissions tracking, GHG Protocol / ISO-aligned), Report (one-click annual and quarterly reporting, CDP-compatible, fully auditable), Reduce (hotspot identification, stakeholder engagement, target tracking).
- Differentiator: ML-driven automation replacing manual, spreadsheet-based carbon accounting. Claims "world's first" platform to fully automate carbon accounting across all business units and suppliers.
- Value prop to buyer: reduces cost and time of compliance, continuous real-time visibility vs. once-a-year retrospective calculations, reduces audit/reporting risk, scalable.
- Sell motion: ROI-based ("making sustainability profitable").
Revenue model
- Model: B2B SaaS subscription (inferred from ARR targets in §3 / slide 3 and "land-and-expand" growth motion).
- Sales motion: direct enterprise sales + partnerships model; supply-chain network effects as a growth lever.
- Upsell path: implied "land-and-expand" across business units and suppliers.
Traction & metrics
- Date of deck: May 2020.
- Customers: "multiple large new clients" won despite COVID-19; "significant number of strong referenceable case studies." - no count disclosed.
- Pipeline: "strong pipeline expected to close by Q4 [2020]."
- Revenue / ARR: redacted.
- All financial figures explicitly marked `<redacted>` or `<Confidential figures removed>` in the Notion version of this deck.
Competition / moat
- Moat claimed: ML automation, proprietary data pipelines, carbon accounting domain expertise (hires from Trucost and Ecoinvent).
- Competitive framing: displacing manual/spreadsheet process; no named competitors cited in deck.
- Supply-chain network effects mentioned as a strategic advantage for retention and expansion.
Team & funding ask / use of funds
- Team: combines carbon accounting expertise with data pipelines and AI. Recruited from Trucost and Ecoinvent.
Recommended financial model
- Archetype + why: B2B SaaS ARR model. Revenue is clearly subscription-based (ARR targets stated for 2025 and 2030), enterprise sales motion, land-and-expand expansion. Standard SaaS cohort/ARR waterfall is the correct framework.
- Forecast horizon & granularity: 5-year model (2020–2025) monthly for Y1–Y2, quarterly for Y3–Y5. Align with the 2025 ARR milestone stated in the deck.
- Key drivers & assumptions:
- Starting ARR: £0 at model start (pre-revenue or very early; deck is May 2020 and all figures redacted) - needs to be confirmed with company.
- New logo count per quarter: ramp from 1–3 enterprise clients/quarter in Y1 to 10–15 by Y3, reflecting "multiple large clients" base and pipeline commentary.
- Average Contract Value (ACV): £40k–£80k for mid-market enterprise; carbon accounting software for enterprises typically in this range - confirm with company.
- Net Revenue Retention (NRR): 110–120% - land-and-expand motion across supply chains implies meaningful expansion revenue.
- Gross margin: 70–80% at scale - typical B2B SaaS with ML infrastructure; may be lower early due to data/engineering costs.
- Churn: 5–10% gross annual logo churn - regulatory compliance software has high stickiness once embedded.
- Headcount / S&M spend: enterprise sales team build-out as primary cost driver; 2 AEs per quarter added through Y2.
- R&D / ML infrastructure: 30–35% of opex - ML platform with continuous data ingestion is capital-intensive.
- 5-year ARR target:; 10-year ARR target:. Both are stated in deck but figures were redacted in this Notion version.
- Impact target (non-financial): 10m tCO2e facilitated reduction by 2025; 100m tCO2e by 2030.
- Scenarios (Base / Bull / Bear - which variables flex):
- Bull: NRR 130%, ACV £100k, accelerated enterprise pipeline closure; supply-chain multiplier drives viral expansion.
- Base: NRR 115%, ACV £60k, steady enterprise sales cadence.
- Bear: delayed enterprise sales cycles, regulatory tailwinds slower than expected; NRR 105%, ACV £40k, higher churn.
- Required sheets / outputs:
- Assumptions dashboard (all drivers centralized)
- ARR bridge (new ARR, expansion, churn, net new ARR by period)
- Revenue & gross profit P&L
- Headcount plan (S&M, R&D, G&A)
- Opex P&L (by department)
- Cash burn & runway (with raise proceeds once disclosed)
- Scenario toggle (Base / Bull / Bear)
- KPI summary (ARR, customers, ACV, NRR, gross margin, LTV/CAC, burn multiple)
Frequently asked
Is the Emitwise financial model free?+
Yes. The Emitwise model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Emitwise's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.
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I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.
Having a template library on hand cuts a first build from hours to minutes.
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