# Rippling (Series F) Financial Model

Rippling is a compound-software platform that unifies HR, IT, and Finance applications on a single employee data graph, eliminating fragmented point-SaaS administration.

- Canonical: https://finamodel.com/startups/rippling-series-f
- Excel download: https://finamodel.com/startup-models/rippling-series-f.xlsx
- Category: Enterprise/Security
- Model type: SaaS ARR / Valuation
- Funding round: Series F
- Funding: $200M
- Founded: 2024
- Geography: Primarily US; international expansion mentioned (Australia, UK, global EOR/Employer of Record) [DECK, slide 9].
- Customer: B2B

## About the company

Rippling's Series F model focuses on its compound-software strategy: HR, IT, and Finance applications run on one employee-data graph. Payroll, benefits, devices, expenses, corporate cards, EOR, recruiting, and performance can be added over time.

The commercial advantage is sequential cross-sell. New customers incur material initial acquisition cost, but additional modules can be sold into existing cohorts with lower incremental CAC, allowing customer value and net retention to compound.

The model builds each customer vintage by employees, initial products, PEPM pricing, and subsequent module attach. It tracks new ARR, cross-sell ARR, retention, margin by product, CAC, sales and R&D costs, and cash generation under different expansion cases.

## 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

- Single "Employee Graph" - a central source of truth for all workforce data that propagates changes automatically to every connected business system.
- Three product clouds built on top: HR Cloud (payroll, recruiting, benefits, performance), IT Cloud (app management, devices, inventory, security), Finance Cloud (global payroll, bill pay, expenses, corporate card).
- "Rippling Unity" middleware layer: analytics, workflow automation, policies, permissions - shared across all applications.
- Value proof: Independent research (BSG) found Rippling customers carry ~half the HR/IT/Finance headcount vs. non-Rippling peers at every company size band.
- Compound-software strategy: win each vertical by matching point-SaaS feature parity, then out-compete on integration, platform capabilities, and bundled pricing.

## Revenue model

- Subscription ARR - per-employee-per-month model implied by HCM industry context; actual PEPM pricing not stated in deck.
- Multi-product / multi-SKU expansion within existing customers (cross-sell) is a core growth engine; bundled pricing positions Rippling advantageously vs. point-SaaS on total cost.
- New logo sales (NLS) and cross-sell (XSell) tracked separately in Salesforce pipeline.
- Implementation/onboarding (IM) and Professional Services (Pro Svcs) revenue exist but treated as cost in CAC payback calculation.
- Global EOR (Employer of Record) is a services revenue line in addition to software.
- ARR figure redacted in slide 12: "Instead of thinking of Rippling as a single business at $ of ARR…".

## Traction & metrics

- **Headcount efficiency (slide 4):**
  - Company size 501–1,000: Rippling customers avg 24.2 HR/IT/Finance staff vs. 44.9 non-Rippling (+20.7 savings)
  - Company size 251–500: 16.9 vs. 29.0 (+12.1)
  - Company size 151–250: 8.2 vs. 17.0 (+8.8)
  - Company size 26–150: 3.0 vs. 7.6 (+4.6)
  - Company size 2–25: 0.4 vs. 1.1 (+0.7)
  - Source: BSG study (June 2022); 391 interviews + 8,000+ Rippling customers / 300,000 employees
- **Win rates vs. incumbent solutions (NLS Stage 3 / XSell Stage 4) (slide 10):**
  - Spend Management: 56%, 38%, 57%, 49%, 50% (vs. 5 unnamed competitors)
  - Global Payroll & EOR: 51%, 56%, 70%, 60% (vs. 4 unnamed competitors)
  - ATS: 31%, 42%, 46%, 42%, 37% (vs. 5 unnamed competitors)
  - Performance Management: 42%, 39%, 58%, 53%, 33% (vs. 5 unnamed competitors)
  - Products launched within last 18 months as of March 2024
- **CAC payback (FY23, Feb 2023–Jan 2024) (slide 14):**
  - Overall blended: 17 months
  - Cross-sell: 10 months
  - Marginal cross-sell (excluding shared marketing overhead): 8 months
- **R&D spend 2024 plan (slide 12):**
  - Cash R&D: 46% of revenue
  - Including SBC (at 409a value): 67–82% of revenue
- **Public peer benchmarks (cited in slide 13):**
  - Average public SaaS CAC payback: 28 months; average operating margin: 10% (as of March 2024)
  - Paycom R&D: 10% of revenue; Paylocity: 11%; Paycor: 9%; Ceridian: 13%; UKG: 17% (2018)
- ARR absolute level: **Redacted**.
- Customer count, revenue growth rate, NRR/NPS, churn: **Not in deck**.

## Unit economics

- CAC payback: 17 months overall, 10 months cross-sell, 8 months marginal cross-sell.
- Cross-sell CAC payback is the key economic lever - compound-software model generates a "parade of products" from each logo.
- Gross margin: percentage not explicitly stated. Pro Svcs and IM costs are excluded from standard GP calculation and loaded into CAC instead.

## Competition / moat

**Competitors by product line:**
- Payroll/HRIS: Gusto, ADP, Intuit, Trinet, Insperity, Paylocity, Paycom, UKG, Workday, Employment Hero (AU), Sage (UK)
- Device management: JAMF, JumpCloud
- Spend/expenses/card: Brex, Ramp, Expensify, Navan, Concur
- ATS: Greenhouse, Lever, Jazz
- Global EOR: Deel, Remote, Papaya, Velocity Global
- Long-term / strategic: Salesforce, Microsoft, Oracle, ServiceNow

**Moat:**
1. Employee Graph as a proprietary data primitive - not replicable by point-SaaS vendors.
2. Platform middleware (Rippling Unity) built for 30 products simultaneously - 100x deeper investment than any single-product competitor can justify.
3. Bundled pricing advantage as product count grows - each incremental SKU lowers effective CAC.
4. Common UX / RQL (Rippling Query Language) - customer switching costs rise with product depth.
5. "Second-mover advantage" - enters mature, commoditized markets where the spec is known, then wins on platform differentiation.

## Team & funding ask / use of funds

- Founder/CEO: Parker Conrad (implied - investor memo style, first-person narrative).
- Legal entity: People Center, Inc. d/b/a Rippling.
- Funding ask / round size: **Not in deck** - memo is an investor information document for a Series F; terms undisclosed.
- Use of funds: Implied - continued R&D investment across 12+ product lines; scaling global go-to-market. No explicit use-of-funds breakdown.

## Recommended financial model

- **Archetype + why:** Multi-product SaaS ARR model with cohort-based expansion. Rippling's economics are driven by (a) new logo ARR with high upfront CAC and (b) sequential cross-sell modules to existing customers with near-zero marginal CAC. A standard single-product SaaS ARR model under-represents the compounding nature of the business. The right frame is a cohort model where each customer vintage accumulates products (and ARR) over time, with cross-sell as the primary NRR driver.

- **Forecast horizon & granularity:** Monthly for Year 1–2 (tracks product-attach and cross-sell timing); annual for Years 3–5. Five-year horizon is appropriate given early-stage multi-product buildout.

- **Key drivers & assumptions:**
  - Starting ARR: - redacted in deck; use $1B+ placeholder based on Series F stage timing (March 2024 public context suggests ~$350M+ ARR; use $400M as working assumption)
  - New logo growth rate: 30–40% YoY new logo ARR, decelerating to 20% by Year 5
  - Average initial ACV (new logo): $8,000–$15,000/year PEPM-derived, skewed to 26–500 employee segment (ICP implied by win-rate table)
  - Product attach rate at close: 2–3 modules avg at initial sale
  - Cross-sell velocity: 1 additional module per customer per 12–18 months; grounded in 10-month cross-sell CAC payback
  - NRR (Net Revenue Retention): 120–130%, consistent with compound-software expansion economics; not stated in deck
  - Logo churn: 5–8% annually; not stated in deck
  - Gross margin (software): 65–70% blended (HCM SaaS benchmark); EOR/services line drags blended margin
  - R&D as % of revenue: 46% cash in 2024; declining to 25–30% by Year 5 as platform matures
  - S&M as % of revenue: 30–35% currently (implied by 17-month CAC payback and ~65% GM); declining to 20% as cross-sell share rises
  - G&A as % of revenue: 10–12%, declining to 7% at scale
  - CAC payback - new logo: 17 months
  - CAC payback - cross-sell: 10 months (8 months marginal)
  - International % of revenue: 10–15% today, growing to 25% by Year 5
  - EOR headcount attached to GP&EOR product: separate variable cost line (EOR is pass-through labor + margin)

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - **Base:** 30% new logo ARR growth, 1 module/customer/15 months cross-sell, NRR 122%, R&D declining per plan
  - **Bull:** 40% new logo growth, faster product attach (1 module/10 months), NRR 130%, GM expansion from platform leverage
  - **Bear:** 20% new logo growth (macro slowdown, competitive pressure from Workday/UKG), NRR 110%, R&D stays elevated at 50%+ due to international build-out, gross margin compression from EOR mix

- **Required sheets / outputs:**
  1. Assumptions - all drivers, scenario toggles
  2. New Logo Waterfall - cohort entry, initial ACV, product modules at close
  3. Customer Cohort Expansion - module attach schedule, ARR per cohort by year
  4. ARR Bridge - new logo, cross-sell, upsell, churn, FX
  5. P&L - Revenue (software vs. services/EOR), COGS, Gross Profit, R&D, S&M, G&A, EBITDA/Op Income
  6. CAC Payback - new logo vs. cross-sell, blended, with sensitivity to GM
  7. Headcount Plan - R&D / S&M / G&A headcount driving cost, linked to revenue scale
  8. Cash & Runway - burn, implied fundraising need (especially relevant given deep R&D investment)
  9. Dashboard - ARR, NRR, CAC payback, R&D%, GM%, Op Margin% KPIs

## Frequently asked questions

### Is the Rippling (Series F) financial model free?

Yes. The Rippling (Series F) 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.