# Mambu Financial Model Cloud-native SaaS core banking platform enabling financial institutions to launch and scale banking products without legacy infrastructure. - Canonical: https://finamodel.com/startups/mambu - Excel download: https://finamodel.com/startup-models/mambu.xlsx - Category: Fintech - Model type: SaaS ARR / Valuation - Funding round: Series E - Funding: $135M - Founded: 2021 - Geography: Global; 60+ regulated international markets [DECK, slide 3]. - Customer: B2B2C ## About the company Mambu is a cloud-native core banking platform that lets financial institutions launch and scale banking products without legacy infrastructure. Its modular software supports banks and fintechs building deposits, lending, and other financial services. The company sells enterprise technology rather than directly acquiring bank customers. Multi-year client relationships, product deployments, and expanding usage create a recurring revenue profile with implementation work at the beginning of each account lifecycle. The model should forecast enterprise logos, contract value, deployment timing, product modules, expansion, and churn. Usage or end-account volume can provide an additional revenue lever, while professional services should be separated from recurring ARR to keep gross-margin and retention analysis clean. ## 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 Mambu sells a composable, cloud-native core banking platform with four layers: 1. **Cloud banking engines** - fully configuration-based, multi-cloud, ISO & SOC certified, supporting a wide range of banking products. 2. **Integration platform** - middleware connecting legacy systems to new infrastructure; APIs, webhooks, streaming APIs, Mambu Integration Bus, Configuration as Code. 3. **Fintech ecosystem** - pre-built connectors to partners (Marqeta, nCino, Salesforce, TransferWise, Backbase, Experian, etc.). 4. **SaaS delivery model** - fully managed, continuous delivery, agile enablement options. Value proposition vs. legacy core banking: composable architecture, configure vs. customize, open real-time APIs, continuous delivery, infinite scalability, flexible contracts, self-service empowerment. Key customers referencing the product: N26, Globe, League Data, FIBR, MACH, ank. ## Market No explicit TAM/SAM/SOM dollar figures in deck. Market context provided: - Cloud software market share trending from negligible pre-2015 to majority by 2020–25 (stacked-column chart shown but no axis values readable at this resolution). - 70% of banks reviewing a potential update of their core banking platform. - 65% of surveyed banks exploring next-generation platforms. - ~75% of banks planned to accelerate digital transformations post-Covid (74% said "more urgent", 21% "no change", 5% "lower priority"). - #1 IT investment priority for banks is core banking systems. - 69% of bank IT spend goes toward maintaining IT infrastructure. ## Revenue model Not explicitly stated in deck. Based on positioning as a SaaS platform: - Primary revenue is recurring SaaS subscription fees - likely per-seat, per-product-configuration, or platform-tier pricing common to enterprise core banking vendors. - Secondary revenue may include usage-based components (API call volume, number of end-user accounts on platform) and professional services / implementation fees. - Sales motion is enterprise direct sales with system integrator / consulting partnerships (PwC, KPMG, Accenture, NTT DATA listed as partners). ## Traction & metrics All from slide 3: - 52 million end users on the platform. - 200+ customers in 60+ countries. - 30,000 product configurations. - 130 million API calls per day. No revenue figures, ARR, growth rates, NRR, or churn data shown in deck. ## Competition / moat Not addressed directly in deck. Implicit moat arguments: - Composable architecture vs. monolithic legacy systems (Temenos, FIS, Fiserv - not named but implied). - Rich fintech ecosystem with 40+ pre-built partner integrations reduces switching cost and implementation time. - Configuration-based (not code-based) customization reduces time-to-market for bank clients. - ISO & SOC certifications, multi-cloud, regulatory compliance across 60+ markets - high barrier to replicate. ## Team & funding ask / use of funds --- ## Recommended financial model - **Archetype + why:** Enterprise SaaS ARR model. Mambu is a B2B SaaS platform with multi-year contracts, a recurring revenue base, and expansion driven by customer seat/product-count growth. The model should track ARR by customer cohort, with logo count and revenue-per-customer as the primary drivers. - **Forecast horizon & granularity:** 5-year annual (Year 1–5), with Year 1 monthly for liquidity visibility. No short-term cashflow model needed given SaaS prepay structure (assumed). - **Key drivers & assumptions:** | Driver | Value / Source | | -- | -- | | Starting customer count | 200+ | | Starting end-user base | 52m | | New logo additions per year | 30–50 net new logos/yr; rationale: 200+ customers across 60+ markets implies several years of build-up; growth-stage SaaS at this scale typically adds 15–25% logo growth | | Average ACV per customer | $300k–$600k; rationale: enterprise core banking SaaS with 52m end-users across 200+ FIs implies large contracts; public comps (Temenos, Thought Machine) imply $200k–$1m+ ACVs | | Revenue expansion (NRR) | 110–120%; rationale: platform pricing tied to configurations/API volume naturally expands with bank growth; typical for infrastructure SaaS | | Gross margin | 65–75%; rationale: multi-cloud SaaS with hosting costs, but high margin once implementation services are excluded | | Churn (logo) | 5–8% annually; rationale: core banking replacement is extremely sticky (high switching cost), but long implementation cycles mean some attrition during onboarding | | Implementation / professional services revenue | 15–20% of total revenue; declining as % over time as platform matures | | S&M as % revenue | 25–35%; enterprise sales with SI channel partners | | R&D as % revenue | 20–25%; cloud-native platform with continuous delivery model | | G&A as % revenue | 10–12% | - **Scenarios (Base / Bull / Bear - which variables flex):** - **Base:** 20% logo growth, 115% NRR, 70% gross margin. - **Bull:** 30% logo growth, 120% NRR (faster configuration/API expansion), 73% gross margin (scale leverage). Driven by accelerated core banking upgrade cycle. - **Bear:** 10% logo growth, 105% NRR (slower bank digital transformation), 65% gross margin (higher cloud/support costs). Driven by prolonged enterprise sales cycles or macro slowdown in bank IT spend. - **Required sheets / outputs:** 1. **Assumptions** - all drivers in one editable block. 2. **ARR Bridge** - opening ARR → new logo ARR → expansion ARR → churn ARR → closing ARR (annual). 3. **Income Statement** - revenue (subscription + services), gross profit, EBITDA, operating income (5-year). 4. **Headcount & Opex** - S&M, R&D, G&A by function. 5. **Monthly P&L (Year 1)** - for operating liquidity view. 6. **KPI Dashboard** - logo count, ARR, ARR/customer, NRR, gross margin %, Rule of 40. 7. **Scenario toggle** - Base / Bull / Bear switcher feeding all sheets. ## Frequently asked questions ### Is the Mambu financial model free? Yes. The Mambu 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.