LM
Liquid Marketplace Financial Model

Crypto/Web3 Startup Financials (Free Excel Download)

Blockchain-based platform that tokenizes and fractionalizes collectible trading cards and high-value assets, enabling co-ownership and real-time secondary market trading.

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About this model

Liquid Marketplace tokenises and fractionalises trading cards and other high-value collectibles, allowing investors to co-own assets and trade interests in a secondary market. The platform combines a collectibles marketplace with blockchain infrastructure, physical custody, valuation, authentication, and compliance requirements.

The April 2022 deck did not disclose a round or stage, but described a global footprint with Miami and Toronto headquarters. The value proposition depends on converting normally illiquid assets into investable offerings, then maintaining enough secondary-market participation for those fractions to have credible liquidity.

Build an asset pipeline from sourcing through appraisal, fractional offering, and assets under custody. Generate revenue from primary issuance, secondary GMV times take rate, and recurring vault or custody fees. Model authentication, insurance, storage, and blockchain costs separately. Asset onboarding, average asset value, offering conversion, secondary turnover, and regulatory timing should determine the scenarios.

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 Liquid Marketplace

liquidmarketplace.com
Read the pitch deck
Liquid Marketplace pitch deck cover
View on makeslides.com
Total raised
$6.0M
Funding round
Series A
Founded
2022
Category
Crypto/Web3
Customer
B2C
Geography
Global

How to build a detailed financial model for Liquid Marketplace

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

Product & value proposition

  • Tokenizes physical collectible trading cards (and other high-value collectibles/art/NFTs) and lists fractional ownership tokens on a proprietary marketplace.
  • Process: asset owner submits card → Liquid MarketPlace verifies and appraises → stores in physical vault → tokenizes ownership → primary offering (75–100% of tokens offered; owner retains 0–25%) → secondary real-time exchange.
  • Key features: 24/7 real-time trading, instant settlement (no 120-day wait typical of legacy auction houses), cryptocurrency payment support, curated offerings, gamified user tiers (Novice → Grand Master).
  • Tag line: "OWN ANYTHING."

Market

  • Collectible card market audience size: 75 million people globally (sourced from Google Analytics per deck).
  • Asset appreciation context cited in deck: high-value collectibles increased ~2,000%–13,000% in value over 5 years; specific examples - Bored Ape #8135 $1.62M (7,088% ROI in 10 months), Banksy "Girl with Balloon" $25.4M (1,714% ROI over 3 years), PSA 9 Pokémon Illustrator $2.7M (1,885% ROI over 5 years), PSA 9 1952 Mickey Mantle $5.2M (580% ROI over 5 years), PSA 10 Wayne Gretzky $3.75M (577% ROI over 5 years).

Revenue model

  • Not explicitly stated in deck. Implied monetization mechanisms (inferred from process description and comparable platforms):
  • Primary offering fee: platform likely takes a spread or listing fee when an asset is first tokenized and offered.
  • Secondary market transaction fee: take-rate on each trade executed on the exchange.
  • Vault/custody fee: annual or monthly fee for physical storage of asset.
  • No take-rate, fee schedule, or pricing page is shown anywhere in the deck.

Traction & metrics

  • Social media followers: 35,000+
  • Media coverage: Business Insider, TIME, Betakit, The New York Times, Financial Post, Hypebeast, Yahoo Finance.

Competition / moat

  • Direct competitors identified: Dibbs, Rally, PWCC, Collector (logo appears in matrix - "C" icon), eBay, GA (Golden Auctions?), Heritage Auctions.
  • Competitive differentiation claimed by Liquid MarketPlace (only company with all five checkmarks in matrix):
  • Worldwide access
  • 24/7 trading
  • Cryptocurrency payment support
  • Curated collectable offerings
  • Incentives for asset owners (0–25% retained ownership, gamified tiers)
  • Moat narrative: blockchain-based instant settlement + physical vault custody + crypto payments + gamification layer. No patent or technology exclusivity claims made.

Team & funding ask / use of funds

  • Founding team:
  • Ryan Bahadori - Founder & CEO; entrepreneur, crypto investor, avid collector; founded a commercial real estate development corp growing to multi-million dollar business.
  • Logan Paul - Founder; internet celebrity, professional boxer, IMPAULSIVE podcast host, avid collector; 100M+ online followers.
  • Amin Nikdel - Founder & President/Chairman; 10+ years in technology ventures.
  • Executive team: CTO (Yisrael Lowenstein), CFO (Dennis Domazet), CLO (Money Khoromi), CCO (Liana Falzone), Director of Marketing (Kateryna Chystiakova), Director of Operations (Alina Guidu), Director of Assets (Matt Allen).
  • Advisors include: Steve Aoki, Jeff Levin, Buster Scher, Jeremy Padawer, Rich Antoniello (ex-CEO Complex), Brian Daley (Osprey Capital), David Sears (ex-Merrill Lynch), Lowell Kamin (ex-Merrill Lynch, 25 yrs capital markets), Rob Segal. Legal: Goodmans, Osler, Zuber Lawler. Market maker: ITG.
  • Contact for investment: Ryan@liquidmarketplace.io, Amin@liquidmarketplace.io.

Recommended financial model

  • Archetype + why: Marketplace GMV + take-rate P&L model. Liquid MarketPlace operates as a two-sided collectibles marketplace with a fractionalization/tokenization layer. The right model tracks: (1) assets listed → GMV of primary offerings, (2) secondary market trading volume → transaction fee revenue, (3) custody/vault fees as a recurring revenue stream. This is structurally identical to a fintech marketplace model (cf. Rally Rd, Masterworks) - unit of analysis is assets under custody (AUC) and trading volume.
  • Forecast horizon & granularity: Monthly, 3 years (2022–2024). Monthly granularity needed to model asset onboarding pipeline and trading volume ramp. Year 3 annual summary for exits/sensitivities.
  • Key drivers & assumptions:

*Supply side (assets listed):*

  • Assets onboarded per month (Year 1 ramp: 5 → 20/month)
  • Average asset value per item ($50,000)
  • % tokenized and offered (75–100% per deck)

*Primary offering revenue:*

  • Platform fee on primary offering (5% of offered value)

*Secondary market (trading volume):*

  • Monthly secondary volume as % of AUC (2% per month → 24% annual turnover)
  • Take-rate on secondary trades (1.5% per trade, blended buyer+seller)

*Custody/vault fees:*

  • Annual custody fee as % of AUC (0.5% p.a.)

*User side:*

  • Registered users (start 5,000; grow 15% MoM Year 1, decelerating)
  • Average wallet size / capital deployed per active user

*Cost drivers:*

  • Vault/insurance/custody OpEx (% of AUC, ~0.3% p.a.)
  • Authentication/appraisal cost per asset
  • Technology & blockchain infrastructure (fixed + variable)
  • S&M spend (headcount + Logan Paul marketing leverage)
  • G&A (headcount-based)
  • Scenarios (Base / Bull / Bear - which variables flex):
  • Base: 10 assets/month by end of Year 1, $50K avg value, 1.5% secondary take-rate, 24% annual turnover
  • Bull: 25 assets/month by end of Year 1, $150K avg value, higher turnover (40% p.a.) driven by Logan Paul community effect
  • Bear: Asset onboarding stalls at 5/month, regulatory headwinds on blockchain/tokenization delay launch, low trading velocity
  • Required sheets / outputs:
  1. Assumptions - all drivers in one place, toggle for scenarios
  2. Asset Pipeline - monthly onboarding, AUC build, asset-level detail
  3. Revenue - primary offering fees, secondary trading fees, custody fees; monthly and annual
  4. P&L - revenue, COGS (vault, auth, blockchain), gross profit, S&M, G&A, EBITDA
  5. Cash Flow / Runway - burn rate, cash consumed, implied funding need
  6. KPI Dashboard - AUC, # assets, # users, GMV, take-rate blended, gross margin

Frequently asked

Is the Liquid Marketplace financial model free?+

Yes. The Liquid Marketplace 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 Liquid Marketplace'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.

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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.

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