# Pinwheel Financial Model API platform providing payroll data connectivity (direct deposit switching, income/employment verification) to fintech companies - Canonical: https://finamodel.com/startups/pinwheel - Excel download: https://finamodel.com/startup-models/pinwheel.xlsx - Category: Fintech - Model type: SaaS ARR / Valuation - Funding round: Series B - Funding: $50M - Founded: 2022 - Geography: USA (covers ~80% of paid Americans) [DECK, slide 4] - Customer: B2B ## About the company 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. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## 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**: 1. Assumptions dashboard (all drivers in one place) 2. Revenue build: customers × calls/month × price → MRR/ARR 3. Income statement (3-year P&L) 4. Headcount & OpEx schedule 5. Cash / runway (given $27M raised, how long does it last?) 6. Sensitivity table: revenue per call × volume growth ## Frequently asked questions ### Is the Pinwheel financial model free? Yes. The Pinwheel model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.