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Flowcarbon Financial Model

Crypto/Web3 Startup Financials (Free Excel Download)

Flowcarbon tokenizes institutional-grade voluntary carbon credits onto blockchain via the Goddess Nature Token (GNT), creating a liquid, transparent market open to corporate, retail, institutional, and crypto buyers.

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About this model

Flowcarbon’s Goddess Nature Token pools individual project tokens into a fungible ERC-20 instrument backed one-for-one by live voluntary carbon credits held in a bankruptcy-remote SPV. Holders can retire GNT, unwrap it into project tokens, or redeem the corresponding off-chain credit.

Only nature-based credits within a rolling five-year vintage window qualify, with recognised registry certification and required co-benefits. The smart contract was audited by Quantstamp. Flowcarbon differentiates GNT from older on-chain carbon pools by using unretired, higher-quality credits rather than retired or low-quality inventory.

Model credits originated and tokenised, the GNT supply, buyer transaction volume, and redemptions or unwraps. Because the fee schedule is undisclosed, make issuance, unwrap, and custody or SPV fees explicit assumptions rather than facts. Verification, registry, custody, liquidity, and credit-procurement costs should sit below revenue; credit quality and liquidity are the essential sensitivities.

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 Flowcarbon

flowcarbon.com
Read the pitch deck
Flowcarbon pitch deck cover
View on makeslides.com
Total raised
$70.0M
Funding round
Seed
Founded
2021
Category
Crypto/Web3
Customer
B2B
Geography
Headquartered in New York [D…

How to build a detailed financial model for Flowcarbon

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Flowcarbon model - distilled from its pitch deck and publicly available information.

Product & value proposition

  • Goddess Nature Token (GNT): ERC-20 fungible pool token backed 1:1 by voluntary carbon credits held in a bankruptcy-remote SPV.
  • Two-layer token structure: individual project tokens (GCO2) are pooled and "wrapped" into GNT, creating a diversified, liquid instrument.
  • Two-way bridge: GNT can be (1) retired as a carbon offset, (2) unwrapped into underlying GCO2, or (3) redeemed for the live off-chain carbon credit.
  • Underlying credit criteria: nature-based projects only (conservation, reforestation, wetland restoration); vintages within a rolling 5-year window; must be certified by Verra or another recognised registry; must carry co-benefits (wildlife, indigenous/human development).
  • Smart contract audited by Quantstamp.
  • Differentiator vs. existing on-chain carbon (Klima DAO): GNT uses live, unretired, high-quality credits - not retired/low-quality credits.

Market

  • Voluntary carbon market demand set to grow 15x by 2030 (source: Taskforce on Scaling Voluntary Carbon Markets / IIF / McKinsey).
  • Corporate market: $300M in 2018 → >$20B in 2030.
  • Over 2,000 companies have announced net-zero ambitions.
  • Nature-based project demand more than doubled in 2021 from 2020's record-high levels.
  • Off-chain voluntary carbon market 2021 YTD: $1B+ (grew ~100% YoY).
  • On-chain (Klima DAO, launched Oct 2021): $2B mobilised by Nov 2021, doubling off-chain YTD volume in one month; raised floor price of carbon credits ~10x.
  • No SAM or SOM figures specific to Flowcarbon/GNT are provided.

Revenue model

  • The deck does not explicitly disclose a fee schedule or revenue model. Based on the token mechanics described:
  • Unwrap fee: charging a fee when GNT is unwrapped back into individual GCO2 project tokens.
  • Potential spread / minting fee: implied at token issuance/bridging (not stated explicitly).
  • Custody/SPV management: ongoing fees for managing the bankruptcy-remote SPV (third-party managed) are mentioned but not quantified.
  • No pricing, fee rates, or take-rate percentages are stated in the deck.

Traction & metrics

  • No Flowcarbon-specific revenue, TVL, or token supply figures disclosed.
  • Existing customers/sales: museums, art galleries, Olympus DAO, Quantstamp, and "numerous corporations".
  • Protocol integrations: described as "already being integrated with the world's leading protocols" - no names given.
  • No ARR, GMV, token price, or active user counts shown.

Competition / moat

  • Direct on-chain competitor called out: Klima DAO - positioned as inferior (low quality, retired credits, limited functionality).
  • Off-chain market described as fragmented, OTC, opaque - Flowcarbon's moat is quality credit selection + live/unretired status + 1:1 SPV backing + DeFi composability.
  • Smart contract audit (Quantstamp) cited as trust signal.
  • No traditional carbon exchange (e.g., Xpansiv/CBL) competitive analysis shown.

Team & funding ask / use of funds

  • Team: blockchain experts, carbon market experts, environmentalists, experienced founders, deep technical talent; HQ New York.
  • No named individuals shown in the deck (lite paper format).
  • Backed by "leading institutional investors" - names not disclosed.
  • No funding ask, round size, valuation, or use-of-funds breakdown in the deck. This is a token (GNT) issuance lite paper, not an equity fundraising deck.

Recommended financial model

  • Archetype + why: Token/protocol treasury model combined with a carbon credit inventory P&L. GNT is a commodity-backed token; revenue is fee-on-transaction (unwrap fee) + potential spread at minting. The closest financial analogy is a commodity ETF issuer or exchange - model GNT AUM (tonnes under management), transaction volumes, and fee income. Not a SaaS model; not a traditional 3-statement operating company.
  • Forecast horizon & granularity: 3 years (2022–2024), monthly for Year 1, quarterly for Years 2–3. Token markets move fast; monthly granularity in year 1 is essential.
  • Key drivers & assumptions:
  • Total voluntary carbon market size 2022: $1.5B off-chain
  • Flowcarbon addressable share of on-chain market: 10–30% of on-chain volume (share of a nascent market; no data)
  • GNT tokens outstanding (tonnes under management): ramp from 0 - no issuance figures given
  • Carbon credit spot price per tonne: $10–$15
  • Price appreciation assumption: flat to modest; Klima DAO raised floor ~10x but that was an anomalous event
  • Unwrap fee rate: 1–3% of GCO2 value on unwrap; no rate disclosed
  • Minting/bridging fee: 0–1%; no rate disclosed
  • SPV custody cost: 0.25–0.50% p.a. of assets under management; third-party managed
  • Credit procurement cost (cost of carbon per tonne): $8–$12/tonne nature-based; no COGS disclosed
  • DeFi liquidity incentives / token rewards: material in Year 1 (common protocol cost); no data
  • Operating cost base (team, tech, legal, compliance): startup-stage burn; no numbers given
  • Market demand growth 15x by 2030: use as macro tailwind backdrop, not a direct revenue driver
  • Scenarios (Base / Bull / Bear - which variables flex):
  • Bear: slow protocol adoption, GNT TVL stays sub-$50M, low unwrap velocity, carbon prices stagnant
  • Base: GNT TVL reaches $200–500M by end-Y2, moderate unwrap fee income, 1–2% take-rate
  • Bull: GNT becomes benchmark on-chain carbon instrument, TVL $1B+, fee income material, carbon price appreciation adds mark-to-market uplift
  • Key flex variables: GNT TVL (tonnes minted), carbon spot price, unwrap fee rate, market share vs. competitors
  • Required sheets / outputs:
  1. Macro assumptions (carbon market size, growth rate, on-chain penetration)
  2. Token model: GNT issuance, TVL, redemptions/unwraps, retirements
  3. Revenue build: unwrap fee income, minting fees, custody/management fees
  4. Cost of revenue: carbon credit procurement cost, SPV/custody fees paid out
  5. Gross profit and gross margin
  6. OpEx: headcount, tech/infrastructure, legal/compliance, marketing
  7. Token treasury / balance sheet: SPV carbon credit inventory at cost and fair value
  8. Cash burn and runway
  9. Scenario toggle (Bear / Base / Bull)
  10. Dashboard: GNT TVL, monthly revenue, gross margin %, runway

Frequently asked

Is the Flowcarbon financial model free?+

Yes. The Flowcarbon 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 Flowcarbon'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

Alex Tapio, ex-Deloitte financial modelling expert

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.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

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.

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