Pinwheel Financial Model
Fintech Startup Financials (Free Excel Download)
API platform providing payroll data connectivity (direct deposit switching, income/employment verification) to fintech companies
professionals from Deloitte
Used by professionals from






About this model
Pinwheel provides payroll-data connectivity APIs to fintech companies, including direct-deposit switching and income or employment verification. It gives financial products access to payroll systems that are otherwise difficult to integrate at scale.
The platform is sold B2B, with revenue expected to come from successful payroll connections, API calls, or enterprise minimum commitments. As a customer embeds Pinwheel deeper in onboarding or underwriting flows, usage and switching costs can increase together.
The model should forecast customer integrations, eligible end users, connection attempts, successful connections, API calls, and price per event. Enterprise minimums, volume discounts, churn, and data-provider costs should be modelled separately to show usage-driven revenue and gross margin.
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 Pinwheel
pinwheel.com
How to build a detailed financial model for Pinwheel
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Pinwheel model - distilled from its pitch deck and publicly available information.
Product & value proposition
Pinwheel is a payroll connectivity API - analogous to Plaid for payroll rather than bank accounts. It sits between consumer-facing fintech apps (Cash App, Chime, PayPal, Chase, Bank of America, Coinbase, Blend) and the underlying payroll infrastructure (ADP, Paychex, Walmart, Amazon, USPS/government portals, Uber, Etsy, Stripe, DoorDash).
Core products:
- Direct Deposits - direct deposit switching; drives interchange revenue for neobanks
- Income & Employment - verification of income and employment (VOIE); paystubs, shift data, identity
- Recurring Access - real-time alerts on status changes; ongoing re-link capability
Key benefits claimed: ~80% data coverage vs competitors (~40%); FCRA-compliant; SOC 2 Type 2 certified; bank-level encryption.
Market
- No explicit TAM/SAM/SOM figures in deck.
- Contextual market signals only:
- $70B five-year increase in fintech investment (2015–2021)
- 90% of Americans using fintech (up from 58% in 2020)
Revenue model
Inferable from product structure: B2B API monetisation, likely a combination of:
- Per API call / per successful connection fee (common for data connectivity platforms like Plaid)
- Possibly tiered monthly minimums for enterprise customers
Customers: fintech companies and large financial institutions (B2B, no direct consumer revenue).
Traction & metrics
- 177x increase in revenue over the span of 2021 - driven by "biggest names in fintech"
- $27M total funding raised from Coatue, First Round, Upfront and others
- Founded 2018
- Coverage: ~80% of all paid Americans
- Customer logos shown (illustrative): Cash App, Chime, Blend, Coinbase, PayPal, Chase, Bank of America
- No absolute revenue figures, ARR, customer count, or retention rates disclosed.
Competition / moat
- Competitor coverage benchmark: ~40% data coverage cited for unnamed competitors vs Pinwheel's ~80%
- No named competitors shown; competitive landscape slide (slide 2) maps the broader fintech ecosystem (Plaid is notably absent from the map - likely a deliberate framing choice)
- Moat claims: data coverage breadth, FCRA compliance, SOC 2 Type 2, recurring access (stickiness), direct integrations with major payroll providers and gig platforms
Team & funding ask / use of funds
- Funding raised: $27M total; investors include Coatue, First Round Capital, Upfront Ventures
- Team: Not shown (no team slide)
Recommended financial model
- Archetype + why: Usage-based API revenue model (B2B SaaS with consumption pricing). Pinwheel earns fees per API call / per successful payroll connection; the correct model tracks API calls or connections as the core volume driver, with revenue = volume × price. Secondary revenue line possible for recurring-access subscriptions. A 3-statement operating model sits underneath, but the top-line driver is purely usage/volume, not seat-count ARR.
- Forecast horizon & granularity: 3 years (2022–2024), monthly for Year 1, quarterly thereafter. Given 177x revenue growth in 2021, the model needs to capture rapid-deceleration dynamics realistically.
- Key drivers & assumptions:
- Number of active API customers (fintechs): Start with ~10–20 signed customers based on logo count visible in deck; grow at 50%/yr (Base), 100%/yr (Bull), 25%/yr (Bear) - rationale: early-stage B2B API with high-profile logos but unproven sales motion
- API calls / connections per customer per month: Varies widely by customer type (direct-deposit switching is one-time per user; VOIE is per application); assume blended 50k calls/month per mid-size customer
- Revenue per call / connection: ~$1–3 per successful connection (benchmark: Plaid charges ~$1.50–$3 per link); no pricing disclosed in deck
- Revenue growth rate 2022: Deceleration from 177x base to ~3–5x YoY; 177x is off a tiny base - model must reset to realistic absolute revenue
- Gross margin: ~60–75% - API infrastructure businesses carry meaningful infrastructure costs (cloud, payroll integrations, compliance); benchmark against Plaid/MX
- Data coverage: 80% of paid Americans - held fixed (coverage is a supply-side moat, not a growth driver in the model)
- Headcount / OpEx: Engineering-heavy team; assume 40–60 employees given $27M raised and 2018 founding; sales & marketing ramp as customer acquisition scales
- Churn: Low (5–10% annual logo churn) - payroll connectivity is deeply embedded in customer product flows; high switching cost once integrated
- FCRA compliance / SOC 2 costs: Ongoing legal and audit spend ~$300–500k/yr baked into G&A
- Scenarios (Base / Bull / Bear - which variables flex):
- Base: ~3x revenue YoY 2022, customer count grows 50%/yr, price stable
- Bull: Enterprise land-and-expand (larger fintechs, higher volume/customer), 5x revenue YoY 2022, price premium on recurring-access tier
- Bear: Customer concentration risk (few large accounts), slower new logo adds, price compression as competitors improve coverage
- Required sheets / outputs:
- Assumptions dashboard (all drivers in one place)
- Revenue build: customers × calls/month × price → MRR/ARR
- Income statement (3-year P&L)
- Headcount & OpEx schedule
- Cash / runway (given $27M raised, how long does it last?)
- Sensitivity table: revenue per call × volume growth
Frequently asked
Is the Pinwheel financial model free?+
Yes. The Pinwheel 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 Pinwheel'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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