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Meniga Financial Model

InsurTech Startup Financials (Free Excel Download)

B2B SaaS platform selling data enrichment, personal finance management (PFM), open banking aggregation, and carbon insights to banks and other financial institutions.

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About this model

Meniga is a B2B SaaS platform for banks offering data enrichment, personal-finance management, open banking, and carbon insights. Its product modules help financial institutions turn transaction data into customer engagement and payments experiences.

Revenue comes from multi-year licenses, sold directly and through partners. The company identified €7.7 million of potential upsell revenue across its existing base, reflecting a strategy to simplify legacy modules and expand product penetration.

The model is enterprise SaaS ARR. Bank customers, license value, modules, upsell, renewals, churn, and partner-sourced deals drive revenue. Long sales cycles, delivery cost, product consolidation, and NRR determine the growth case.

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 Meniga

meniga.com
Read the pitch deck
Meniga pitch deck cover
View on makeslides.com
Total raised
$16.0M
Funding round
Series D
Founded
2023
Category
InsurTech
Customer
B2B
Geography
HQ Iceland

How to build a detailed financial model for Meniga

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

Product & value proposition

Core purpose stated as "Enrichment powered Insights and Payments." Product stack as of deck date:

TODAY (legacy portfolio)

  • Insight Factory (25% of revenue mix)
  • Carbon Insight (22%)
  • Agg. Hub / Open Banking aggregation (17%)
  • Smart Money Rules (15%)
  • Kafka infrastructure (15%)
  • Cashflow Assistant (6%)

TOMORROW (simplified portfolio)

  • DATA layer: Consolidation, Standardisation, Enrichment, Aggregation/Open Finance
  • INSIGHTS: Core Finance Management, Savings features, Cashflow features, Sustainability/Carbon, other gaps
  • PAYMENTS (beta): Payment initiation on top of aggregation

Target clients: banks (core), expanding to fintechs, insurance companies, and payment service providers. Partners include BCG, Tink, Tarabut Gateway, TrueLayer, Adyen, AXA, Minna Technologies, Accenture. Named bank clients: UniCredit, Groupe BPCE, Swedbank, CA Crédito Agrícola.

Market

Global addressable market (Meniga's defined product categories, 2023 → 2028) | Segment | 2023 | 2028 FC | CAGR | | -- | -- | -- | -- | | Enrichment | $144.6M | $217.0M | 8.3% | | Financial Management | $87.1M | $114.7M | 5.7% | | Insights | $115.4M | $192.8M | 11.5% | | Open Banking/Finance | $108.6M | $396.0M | 24.9% | | Carbon | $61.4M | $83.7M | 9.7% | | TOTAL | $517.1M | $1,004.2M | ~14.2% |

Regional market (Banking vertical only, Meniga portfolio, 5-Y CAGR 2023–2028)

  • NA: CAGR 15.8% (largest absolute 2028 size, ~€450M)
  • Europe: CAGR 12.2% (~€360M 2028)
  • APAC: CAGR 16.5% (small absolute base)
  • MEA: CAGR 17.5% (small absolute base)
  • LatAm: CAGR 13.0% (smallest absolute)

Expanded SAM including non-bank verticals (2023)

  • Banks: $145M
  • Payment Service Providers: $71M (CAGR 14.5% to 2028)
  • Insurance Companies: $51.0M (CAGR 6.9% to 2028)
  • Fintechs: $16M (CAGR 21% to 2028)
  • Banking 2023 total: ~$500M; with verticals added: ~$640M (+30%)

Note: deck does not state Meniga's current market share or ARR explicitly - SOM not disclosed.

Revenue model

  • Licence-based B2B SaaS: multi-year licence agreements with banks and financial institutions. Pricing basis not broken out (likely per-end-user or per-module annual licence; no unit pricing in deck).
  • Channels: direct enterprise sales (hunters for new logos + farmers for upsell/account management); partner-assisted (BCG, Tink, Tarabut, TrueLayer, Accenture).
  • Revenue composition (today): fragmented across 6 legacy modules. Tomorrow consolidates to 3 layers (Data, Insights, Payments), with Insights targeted at 68% of revenue mix.
  • Upsell opportunity: total potential revenue from selling unlicensed products to existing customer base = €7.7M. This is the upsell ceiling on the existing book, not total ARR.
  • Currency: mix of $ (market sizing) and € (company financials); company appears to operate primarily in EUR.

Traction & metrics

  • Upsell ceiling on existing base: €7.7M potential incremental revenue if all existing clients bought all unlicensed products.
  • Revenue growth forecast (relative to FY23 base):
  • Year 1: +32.7% over FY23 cash revenue
  • Year 2: +51.9%
  • Year 3: +85.0%
  • Year 4: +118%
  • Year 5: +153%
  • Overall CAGR: 15.7%
  • Growth attributed to: Upsell (existing + new EU banking clients), Strengthen core, New regions
  • BHAG: 1,000,000,000 users on Meniga platform by 2027
  • MEA customers: 5 existing customers + healthy late-stage pipeline for MENA
  • Named existing clients: UniCredit, Groupe BPCE, Swedbank, CA Crédito Agrícola

Competition / moat

Named competitors:

  • Personetics (APAC, political issues in MEA)
  • MoneyThor (APAC-strong, cultural fit issues in MEA)
  • Tink (won't serve MEA; also a partner)
  • Strands (MEA presence, but more expensive than Meniga)

Meniga's stated moat:

  • Established EU market share (priority market)
  • Robust MEA presence competitors avoid
  • Open FinTech integration platform positioning
  • Deep data enrichment capability as core differentiator
  • Strategic partner network (Velocity portfolio companies in Africa for C-level intros)

Portfolio simplification as a competitive lever: reducing from 6 fragmented products to 3 clear layers to improve sales cycle and market-fit communication.

Team & funding ask / use of funds

Team structure (as redesigned):

  • CEO
  • Commerce (Pre-sales, Account Management/Farmers, New Business/Hunters)
  • Product (Product Management, Marketing & Comms)
  • Engineering (Development, QA, Infrastructure)
  • Delivery & Support (Technical Consulting, Customer Support - in-house + outsourced + partner in remote regions)
  • Finance, Legal, Compliance
  • HR

Org changes planned: adding 1–2 new hubs (cost optimisation + geographic coverage for MEA/LatAm); key hires identified and recruitment to begin Q4 2023.

Funding ask: capital required from shareholders to execute ReInvented strategy. Quantum NOT disclosed. Dependencies listed: Internal Alignment, Org Design, and "Capital & Shareholder Buy-in for new investments". Year 1 of growth plan starts "after new Meniga is set up and we have the needed capital (+/- 6 months from now)" - implying raise needed by ~Q1–Q2 2024.

Use of funds (implied from execution timeline):

  • New hub setup (Q4 2023–Q2 2024)
  • Key hires (Q4 2023–Q3 2024)
  • Brand refresh
  • New product portfolio build
  • KPI & growth plan alignment
  • New FY2024 budget

Recommended financial model

Archetype + why: B2B SaaS ARR / licence-revenue model with an upsell layer. Meniga sells multi-year licences to banks; revenue is recurring and predictable once signed. The deck's growth framework maps cleanly to three ARR growth levers: upsell to existing base, strengthened core (new EU bank logos), and new regions. A standard SaaS ARR bridge model (beginning ARR + new ARR + expansion ARR − churn) best captures this. A 3-statement P&L is also warranted given the company is restructuring cost base and adding hubs.

Forecast horizon & granularity: 5 years (Year 1–5 per deck framing), annual granularity. Year 1 starts ~6 months post-capital raise (H2 2024 effective start). Add a quarterly bridge for Year 1 given the restructuring/hiring timeline.

Key drivers & assumptions:

*Revenue*

  • FY23 base cash revenue: ~€5–8M range implied by upsell ceiling of €7.7M and B2B SaaS norms for a company at this stage; must be confirmed - single most critical data gap.
  • Year 1–5 revenue growth vs. FY23 base: +32.7% / +51.9% / +85.0% / +118% / +153%
  • Implied CAGR on incremental growth: 15.7%
  • Revenue split by growth lever (Upsell / Strengthen core / New regions): modelled as separate ARR cohorts; relative weights readable from slide 13 stacked bar - Upsell dominant in Years 1–2, New regions adds meaningfully from Year 3.
  • Upsell ceiling from existing base: €7.7M - cap upsell ARR at this figure
  • New logo win rate: 3–5 new bank logos per year at average contract value of €300–500K ACV, consistent with the €7.7M upsell pool and named client base implying ~15–25 active clients
  • Average contract value (ACV): - not in deck; estimate from upsell pool ÷ implied client count
  • Churn: <5% gross revenue churn (B2B enterprise SaaS norms; long-term bank contracts with high switching cost)
  • NRR: ~110–120% once upsell programme is executing

*Costs*

  • Headcount: current size unknown; typical EU B2B fintech at this revenue scale = 50–120 FTE; new hub adds 10–20 FTE in Year 1–2
  • New hub setup CAPEX/OPEX: €0.5–1.5M one-time per hub
  • Gross margin: 60–70% (SaaS with professional services delivery component; Delivery & Support team is material)
  • S&M as % of revenue: 25–35% (enterprise B2B, long sales cycles)
  • R&D as % of revenue: 20–30%
  • G&A as % of revenue: 10–15%

*Market*

  • Global TAM 2023: $517.1M; 2028: $1,004.2M at ~14.2% CAGR
  • EU Banking vertical CAGR 12.2% - anchor for base-case new logo assumptions
  • MEA CAGR 17.5%, LatAm 13.0% - anchor for new region revenue ramp

Scenarios (which variables flex):

  • Base: Revenue grows per deck's stated percentages (15.7% CAGR); upsell captures 50% of €7.7M ceiling by Year 3; 2 new regional logos per year from Year 2.
  • Bull: Upsell captures 80% of ceiling by Year 3; 3–4 new logos/year including NA; new hub operational by Q2 2024; new vertical wins (PSP, insurance) add a 4th revenue stream from Year 2.
  • Bear: Capital raise delayed or partial; Year 1 starts in H2 2024 with reduced hiring; upsell captures only 25% of ceiling; churn ticks up to 8% as portfolio transition creates client confusion; new region revenue delayed to Year 4.

Required sheets / outputs:

  1. Assumptions - FY23 base revenue (confirm), ACV, client count, churn, headcount, hub costs
  2. ARR Bridge - Beginning ARR, new ARR (by region/vertical), expansion ARR (upsell), churn ARR, ending ARR; annual + quarterly Year 1
  3. P&L - Revenue, gross profit, S&M, R&D, G&A, EBITDA, Year 1–5
  4. Headcount plan - by function (Commerce, Product, Engineering, Delivery, G&A), by hub
  5. Cash / Runway - Operating cash burn, capital raise required, months of runway; key sensitivity to raise size vs. time-to-breakeven
  6. Market sizing reference - TAM/SAM by region and vertical (from deck) as static reference tab
  7. Scenario toggle - Base / Bull / Bear switchable via single cell

Frequently asked

Is the Meniga financial model free?+

Yes. The Meniga 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 Meniga'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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