Rippling logo
Rippling Financial Model

Enterprise/Security Startup Financials (Free Excel Download)

Rippling is a compound HR/IT/Finance platform that centralises employee data as a single primitive to power payroll, benefits, IT management, spend management, and a growing suite of business software.

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About this model

Rippling is a compound HR, IT, and Finance platform built around a central employee-data system. It connects payroll, benefits, IT management, spend management, and a growing suite of business software so companies can manage employees through one primitive.

Its subscription model expands across products and employees. A customer can land with one module and add payroll, devices, expenses, or other tools, creating compounding account value beyond a single HR application.

The model builds ARR by customer cohort, employees, PEPM pricing, and module adoption. It separates new-logo bookings from cross-sell, tracks retention and product mix, and links implementation, gross margin, sales investment, R&D, and cash flow to growth.

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 Rippling

rippling.com
Read the pitch deck
Rippling pitch deck cover
View on makeslides.com
Total raised
$45.0M
Funding round
Series A
Founded
2019
Category
Enterprise/Security
Customer
B2B
Geography
US-headquartered

How to build a detailed financial model for Rippling

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

Product & value proposition

Rippling centralises employee data ("Employee Graph") as the single source of truth, eliminating the administrative burden of maintaining employee records across disconnected systems.

Product pillars:

  • HR Cloud: Core HRIS, Recruiting (ATS), Benefits, Performance Management
  • IT Cloud: App provisioning, Device management (MDM), Inventory, Security
  • Finance Cloud: Global Payroll, Bill Pay, Expenses, Corporate Card, EOR
  • Rippling Unity (Platform layer): Analytics, Workflow Automation, Policies, Role-based Permissions

Key value proposition:

  • Companies using Rippling employ ~half the HR/IT/Finance headcount vs. non-Rippling companies at equivalent size.
  • "Compound software" model: shared platform capabilities (analytics, permissions, approvals, workflow, RQL query language) built once and deployed across 30+ products - impossible for point-SaaS competitors to match.
  • Salesforce analogy: Rippling is to employee data what Salesforce is to customer data.

Revenue model

  • Model: Subscription ARR, billed per employee per month (PEPM) across multiple product SKUs.
  • Product lines generate separate ARR streams: Payroll, Core HRIS, Benefits, IT, Reseller (PEO/EOR channel).
  • ARR Mix by Segment: Mid-Market (MM) is the dominant share; SMB is a minority.
  • Industry Mix: Tech companies are a significant share; Non-Tech is meaningful.
  • Cross-sell motion: Existing customers buy additional product lines at incremental cost - key to the compound model's economics. Cross-sell CAC payback substantially lower than new logo CAC.
  • Channels: Direct sales (AE-led), Account Management for expansion, Implementation & Professional Services.
  • Pricing advantage: Bundle pricing allows optimizing total cost of the bundle vs. per-SKU, undercutting point-SaaS alternatives.

Traction & metrics

Early deck

All headline KPI values (Total ARR, MoM Growth, YoY Growth, Expanding Cohorts, NPS, Sales Rep Payback) are redacted as "X" or "X%". The Y-axis of the ARR bar chart is unlabeled. The only non-redacted metric is:

  • Average NPS: 66 (Jul–Jan 2019 period; monthly readings ranged from ~41 in Dec-18 to ~81 in Aug-18).

Series B deck

  • Total Bookings ARR: "Double Digit Millions" - Y-axis unlabeled, exact figure withheld.
  • ARR growth: strong multi-month upward trajectory across approximately 30 months shown.
  • Customers: "Several thousand" across diverse industries.
  • Employees: ~250.
  • Investors at time of Series B: Kleiner Perkins, Y Combinator, Threshold, Initialized.
  • Review ratings: 4.9 stars on Software Advice, G2 Crowd, and Capterra; PC Mag Editor's Choice 2019.
  • Metrics section (slides 7–14) is explicitly labelled "Illustrative numbers shown, not actuals" with "[Acme Company]" placeholders - not usable as Rippling-specific data.

Series F deck

  • ARR: $ - ARR figure explicitly redacted in slide 12.
  • R&D spend: expected to be 46% of revenue on cash basis in 2024 operating plan; 67–82% including stock-based compensation (at 409a or last preferred round valuation).
  • CAC payback (FY23, Feb 2023–Jan 2024):
  • Blended (new logo + cross-sell): 17 months
  • Cross-sell only: 10 months
  • Marginal cross-sell (direct costs only, excludes marketing overhead): 8 months
  • Win rates displacing incumbents (Series F slide 10, launched products within last 18 months as of 2024):
  • Spend Management: 38–57% win rate across 5 competitors
  • Global Payroll & EOR: 51–70% win rate across 4 competitors
  • ATS: 31–46% win rate across 5 competitors
  • Performance Management: 33–58% win rate across 5 competitors
  • Efficiency benchmark: Average public SaaS = 28-month CAC payback, 10% operating margin (Meritech Capital, March 2024).

Unit economics

  • CAC payback - blended FY23: 17 months (includes full sales, AM, marketing, IM & Pro Svcs costs).
  • CAC payback - cross-sell FY23: 10 months.
  • CAC payback - marginal cross-sell FY23: 8 months.
  • Gross margin: Illustrated at 85% in Series B template - but explicitly flagged as illustrative, not actual. Series F does not state gross margin explicitly but mentions "non-GAAP gross margins" in the context of CAC payback calculations. Early deck notes gross margins increasing as fixed costs amortise over more revenue.
  • Magic Number: Illustrated at ~1.0–1.2 in Series B template - illustrative only. Early deck notes Magic Number guidance: >0.75 signals investing in S&M is justified.
  • Net Dollar Retention: Illustrated at 125–160% in Series B template - illustrative only. Early deck notes cohorts show "net negative churn" / expanding revenue. Estimated ~125% NDR for new cohorts in template.
  • Quick Ratio: Illustrated at 8–10x in Series B template - illustrative only.
  • NPS: 66 average.
  • Note: Because the early deck and Series B metrics are explicitly redacted or illustrative-only, no unit economics figures can be confirmed as Rippling actuals from any deck.

Competition / moat

Competitive set (varies by product/segment):

  • Payroll/HRIS (SMB): Gusto, ADP Run, Intuit Payroll, TriNet, Insperity
  • Payroll/HRIS (Mid-Market): Paylocity, Paycom, UKG
  • Enterprise: Workday
  • IT/Device Management: JAMF, JumpCloud
  • Spend/Expenses: Brex, Ramp, Expensify, Navan, Concur
  • ATS: Greenhouse, Lever, Jazz
  • Global EOR: Deel, Remote, Papaya, Velocity Global
  • Performance Management: multiple point-SaaS incumbents
  • Long-term strategic competitors: Salesforce, Microsoft, Oracle, ServiceNow

Moat:

  1. Employee Graph - the central employee data layer makes every Rippling product more valuable and creates high switching costs.
  2. Platform economics - shared capabilities (analytics, permissions, workflow, approvals) built once for 30+ products; per-product R&D cost falls as platform matures.
  3. Cross-sell flywheel - each new product sold to existing customers carries ~8–10 month payback vs. 17 months for new logos, driving compounding LTV advantage.
  4. "Last-mover" advantage - Rippling enters mature/commoditized categories where product-market fit is established, adds deep employee data integration + platform differentiation that incumbents cannot replicate.
  5. Bundled pricing - ability to optimise total bundle cost creates structural price advantage vs. point-SaaS competitors.

Team & funding ask / use of funds

  • Founder: Parker Conrad (CEO) - implied author of Series F investor memo.
  • Investors (at Series B stage): Kleiner Perkins, Y Combinator, Threshold, Initialized.
  • Team size: ~250 employees at Series B; substantially larger by Series F (not stated).

Recommended financial model

Archetype + why

Multi-product SaaS ARR model with cohort-based cross-sell expansion - specifically a compound SaaS / platform model.

Rippling is not a single-SKU ARR model. The key driver is multi-product attach: each new logo seeds a base ARR (payroll/HRIS), which is then expanded via cross-sell of IT, Benefits, Finance Cloud, and newer products over time. This mirrors a "land and expand" motion but with 30+ products rather than tiers of one product. The model must capture:

  • New Logo ARR (new customer acquisition)
  • Cross-sell ARR (additional products sold to existing cohorts)
  • Expansion/Contraction ARR (seat growth/shrinkage within existing products)
  • Logo churn
  • Product churn (customer stays but removes a SKU)

Forecast horizon & granularity

  • Horizon: 5 years (e.g., 2024–2028), monthly in Years 1–2, quarterly in Years 3–5.
  • Granularity: Monthly ARR waterfall (new logo, cross-sell, expansion, contraction, product churn, logo churn) → quarterly P&L.

Key drivers & assumptions

Revenue drivers | Driver | Value / Rationale | | -- | -- | | New logo bookings growth (MoM) | ~10–15% MoM early stage; decelerating to ~5–8% at scale. Rippling grew ARR substantially YoY (exact rate not disclosed). | | Average ARR per new logo | ~$15K–$25K ACV (SMB/MM entry; rising as brand and features grow per original deck slide 12 commentary) | | Products per customer at entry | 1–2 products (typically Payroll + Core HRIS) | | Cross-sell attach rate per cohort per year | 0.5–1.0 new products added per customer per year; informed by net-negative churn narrative and illustrated NDR of 125%+ | | Revenue expansion within a product (seat growth) | ~5–10% per year per customer cohort, reflecting headcount growth at customer companies | | Average ARR per additional product | ~$8K–$15K per SKU depending on product (IT/Benefits/Finance priced lower than Payroll per employee) | | Logo churn rate | ~3–5% annually; SaaS HR platform with high switching costs suggests below-market churn | | Product churn rate | ~5–8% per SKU per year (lower than logo churn) |

Cost drivers | Driver | Value / Rationale | | -- | -- | | Gross margin | ~75–85%; illustrated at 85% in template deck; cash-based gross margin likely lower given payroll bureau costs and EOR headcount | | R&D as % of revenue | 46% cash basis in 2024 Board Plan; declining over time as platform matures | | S&M as % of revenue | ~25–35%; informed by Magic Number ~1.0 and illustrated sales efficiency | | G&A as % of revenue | ~10–15% at current scale | | CAC payback - new logo | 17 months (FY23) | | CAC payback - cross-sell | 10 months (FY23); marginal 8 months |

Operating model | Driver | Value / Rationale | | -- | -- | | Headcount growth | Engineering-heavy; Series F implies R&D is the primary investment. Model R&D headcount separately from GTM. | | Operating loss / burn | Significant; 46%+ R&D + 25–35% S&M + COGS implies operating loss at current scale. Path to profitability tied to cross-sell leverage. |

Scenarios

VariableBearBaseBull
New logo growth (MoM)5%10%15%
Cross-sell attach rate0.3 products/customer/yr0.71.2
Logo churn7% annually4%2%
Gross margin70%78%85%
R&D % of revenue55% (slower leverage)46%38% (faster leverage)

Required sheets / outputs

  1. ARR Waterfall (monthly): new logo ARR, cross-sell ARR, expansion, contraction, product churn, logo churn → net new ARR → ending ARR
  2. Cohort Analysis: per cohort starting ARR → product attach over time → NDR by cohort month (template shows ~125% target at month 12)
  3. Income Statement (monthly/quarterly): Revenue, COGS, Gross Profit, R&D, S&M, G&A, Operating Income
  4. Unit Economics Summary: blended CAC payback, cross-sell CAC payback, LTV/CAC, Magic Number, Quick Ratio, NDR
  5. Headcount Plan: R&D, S&M, G&A headcount and cost (key since R&D is 46%+ of revenue)
  6. Bridge / Sensitivity: ARR sensitivity to logo growth and cross-sell attach rate; operating margin sensitivity to R&D leverage timeline
  7. KPI Dashboard: ARR, MoM growth, NDR, NPS, Magic Number, CAC payback - matching Rippling's own investor metrics format

Frequently asked

Is the Rippling financial model free?+

Yes. The Rippling 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 Rippling'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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