Oxygen Financial Model
Fintech Startup Financials (Free Excel Download)
Challenger bank offering personal and business banking in a single app, targeting aspirational Gen Z / millennial creatives and SMBs.
professionals from Deloitte
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About this model
Oxygen is a challenger bank combining personal and business banking in one app for Gen Z and millennial creatives, freelancers, and SMBs. Its product uses a freemium account proposition with card rewards and business-banking features.
The primary revenue source is interchange on Visa debit-card spend, supported by direct integration economics. Premium accounts, ACH or wire fees, and income on deposits can create secondary revenue, but customer activity is the core commercial driver.
The model should forecast acquired users, funded and active accounts, average monthly card spend, and net interchange rate. Deposit balances, premium conversion, fee usage, retention, rewards cost, and acquisition-channel efficiency should be separately visible in a cohort-based neobank P&L.
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 Oxygen
oxygen.us
How to build a detailed financial model for Oxygen
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Oxygen model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Personal and business banking in one app - claimed "first and only" US challenger bank to combine both.
- Apply for an account in one minute.
- Personal tier: simple invoicing, transfers, P2P, savings goals, free ACH transfers.
- Business tier: complex invoicing, ACH and wires, expenses, taxes and integrations.
- Cash-back rewards card: up to 7% at Trader Joe's / Walmart, 5% on gas, 5% on Uber/Lyft/food delivery.
- Positioning: "Mac of Financial Services" - aspirational branding, lifestyle marketing.
- Tech stack: proprietary CIP, AI-powered support, bespoke back-office (OMC - Oxygen Mission Control), SOC2 and PCI-DSS certified, direct Visa and processor integrations.
- 78 direct partnerships with ATMs, card networks, and rails - no revenue share, company retains full economics.
Market
Qualitative market framing only:
- Macro shift toward entrepreneurial-inclined Gen Z and millennials.
- SMBs described as having "literally no other good digital banking offering."
- Slide 05 references "Massive TAM" and "High LTV" as product-tier attributes.
Revenue model
- Primary: interchange revenue from Visa debit card transactions (direct integration = no revenue-share split).
- Secondary streams implied but not quantified: premium account fees, ACH/wire fees (business tier), potential interest income on deposits.
- Acquisition channels: paid media, partners, organic.
- Pricing tiers: free personal / business account (freemium implied); cash-back rewards suggest a premium debit proposition. No explicit subscription pricing stated.
Traction & metrics
- 969x increase in revenue since launch.
- 70% revenue increase in the last 90 days.
- 25%+ MoM revenue growth consistently for 12 months.
- Monthly revenue bar chart (slide 13) shows actuals from January through December (Year 1) then projections through June (Year 2), with "Today" marked at December and Q1/Q2 targets marked on subsequent bars. Y-axis values not legible; relative shape confirms strong upward trajectory.
- Monthly Deposits Volume, Card Transaction Volume, and Monthly Revenue all show consistent upward trend Jan–Nov (slide 04); absolute axis values not readable.
- ARPU increasing over time: users deposit larger amounts and transact more as accounts mature (30–60 days to activation).
- Cohort analysis (slides 10–11): Jan–Jun cohorts show expanding monthly deposits and transactions per cohort over 7+ months - clear net negative churn signal. Absolute values not legible.
Unit economics
- Net negative churn explicitly claimed - expanding accounts drive revenue growth from existing users.
- No revenue share on interchange - "we keep it all" stated as margin advantage.
- "High LTV" referenced in product-tier framing.
Competition / moat
- Positioned as unique: only US challenger bank combining personal + business in one app.
- Moat claims: proprietary tech stack (OMC), direct Visa integration (no middlemen), SOC2/PCI-DSS, 78 vendor partnerships, brand/lifestyle differentiation.
- Implicit competitors: traditional banks, Chime (personal), Mercury/Relay (business) - not named in deck.
- "Mac of Financial Services" analogy: brand creates aspirational premium perception.
Team & funding ask / use of funds
- Investors / backers shown: Runa Capital, Y Combinator, EFG Hermes, 1984.VC, Rucker Park Capital, The House Fund.
- Advisors: Frank Strauss (Former CEO Deutsche Bank Private & Commercial); Pauline Brown (Former Chairman LVMH Americas); Andre Bliznyuk (Runa Capital GP, former Goldman Sachs/UBS).
Recommended financial model
- Archetype + why: Neobank / interchange-led revenue model. Revenue = (Monthly Active Users) × (Avg monthly card spend per user) × (Interchange rate). Deposit balance model layered on top for any interest income. This is the canonical neobank P&L - interchange is the dominant line, with deposits and fees as secondary. Not a SaaS ARR model; not a marketplace GMV model. A 3-statement build is appropriate once the company reaches fundraising maturity, but a driver-based monthly P&L + cohort engine is the right starting point given early stage.
- Forecast horizon & granularity: Monthly actuals (Jan Year 1 → Dec Year 1 implied), projections through at least Q2 Year 2 (per slide 13). Recommend building 24 months monthly + Year 3 annual for the full model.
- Key drivers & assumptions:
| Driver | Value / Tag |
|---|---|
| Monthly revenue growth rate | 25%+ MoM |
| Revenue since launch multiple | 969x |
| Revenue growth last 90 days | 70% |
| Interchange rate (% of card spend) | ~1.5%–2.0% - typical Visa debit interchange for fintechs with direct integration |
| Avg monthly card spend per active user | $500–$1,500 - wide range; model should flex this |
| Monthly deposit balance per active user | Growing; cohort data shows expansion at 30–60 days but no dollar values readable |
| User growth rate (MoM) | Infer from revenue growth and ARPU expansion - likely 15–20% MoM users + ARPU lift |
| Activation lag | 30–60 days to full engagement |
| Churn (gross) | Low; net negative churn confirmed - model gross churn at 5–8%/month offset by expansion |
| ARPU trajectory | Cohort-based expansion; older cohorts deposit/transact more - model ARPU step-up at Month 2–3 |
| Gross margin | High - direct integration means ~80%+ gross margin on interchange; operating leverage needed |
| Headcount / OpEx | "Incredibly capital efficient team"; exact count not provided |
- Scenarios (Base / Bull / Bear - which variables flex):
- Base: 25% MoM revenue growth sustained for 12 months, then decelerating to 15% as user base scales.
- Bull: ARPU expansion accelerates (business tier adoption), growth sustains 30%+ MoM through Year 2.
- Bear: Paid acquisition costs rise (CAC doubles), growth slows to 10–15% MoM; test unit economics break-even.
- Flex variables: MoM growth rate, ARPU, CAC, interchange rate, gross churn.
- Required sheets / outputs:
- Assumptions - all drivers in one place, toggled by scenario.
- Cohort Engine - monthly cohort table: new users, activated users, churn, retained; per-cohort deposits and card spend over time (mirrors slides 10–11).
- Revenue Build - interchange P&L: card volume × rate = gross interchange; layered with deposit interest and fee lines.
- P&L - gross revenue → gross profit → operating expenses (S&M, R&D, G&A, headcount) → EBITDA.
- Cash / Runway - simple cash bridge; key for fundraising context.
- KPI Dashboard - MAUs, ARPU, MoM revenue growth, LTV/CAC (once CAC is known), net revenue retention.
Frequently asked
Is the Oxygen financial model free?+
Yes. The Oxygen 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 Oxygen'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
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