Insha Financial Model
Fintech Startup Financials (Free Excel Download)
Ethical, interest-free digital banking app for Muslim and values-conscious consumers in Europe
professionals from Deloitte
Used by professionals from
About this model
insha is an ethical, interest-free digital banking app for Muslim and values-conscious consumers in Europe. It combines a card and everyday banking account with participation-account and partner-marketplace products aligned to its values-based positioning.
The business can monetise card interchange, a share of participation-account investment returns, and commissions from partner services such as insurance, investment, or travel. Its proposition is differentiated by product design as well as conventional mobile-banking convenience.
The model should forecast monthly active users, account funding, debit-card spend, participation-account balances, and marketplace product attachment. Apply interchange to payment volume and a profit-share yield to managed balances, while acquisition cost and retention are analysed by customer cohort.
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 Insha
getinsha.com
How to build a detailed financial model for Insha
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Insha model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Mobile-first digital bank account built on 13 ethical principles: interest-free model, full transparency, real/circular economy, social responsibility, environmental friendliness, etc.
- Core product modules shown in deck:
- insha card - Visa debit card
- inSave - goal-based savings pockets with automatic accumulation
- inSight - spending analytics / categorisation dashboard
- inLoyal - loyalty/rewards marketplace (tax refunds, accommodation deals, interest-free instalment offers)
- inGold - gold savings/storage (marked "SOON")
- inWin - participation (Islamic current) accounts
- inBox - open fintech marketplace (Tax, Travel, Lifestyle, Investment verticals)
- Value prop: only fully digital ethical/principle-based banking alternative in Europe for this customer segment
Market
- No explicit TAM/SAM/SOM figures in deck.
- Market context provided via proxy indicators:
- 45% of shoppers make more sustainable purchase decisions and plan to continue
- 10.42 million people in Germany (2019) fully agreed that companies should act socially responsibly when buying products
- Sales of Fairtrade products in Germany up 2,850% since 2005
- Eco-power use x10 since 1990; renewables = 42.1% of German gross electricity consumption
- Fridays for Future: 1,350 protests with 1.8 million participants (May 2019)
- Banking industry growth data for ethical vs. systemic banks (2006–2016 CAGR):
- Total assets: ethical +10.13% vs. systemic +1.47% (10yr)
- Loans: ethical +11.67% vs. systemic +2.83% (10yr)
- Deposits: ethical +13.06% vs. systemic +3.74% (10yr)
- Net income: ethical +5.93% vs. systemic -14.58% (10yr)
Revenue model
Not explicitly stated in deck. Inferred from product features:
- Interchange fees: Visa debit card transactions generate interchange revenue (typical ~0.2–0.3% EU cap for debit)
- Participation account spread: inWin accounts likely earn a profit-share on underlying investments rather than charging interest, with insha keeping a portion
- inBox marketplace commissions: partner fintech products (insurance, investment, travel) likely generate referral or revenue-share fees
- inLoyal partner fees: merchants/brands pay for placement or customer acquisition through loyalty offers
- inGold custody/storage fees: once live, gold storage likely carries a small custody fee (halal-compliant)
- No subscription fee, freemium tier, or pricing page shown in deck
Traction & metrics
- Product screenshots show a sample account balance of €10,358 and 50 transactions - these appear to be illustrative UI mockups, not real user data.
Competition / moat
- Competitive advantage framed as a Venn diagram of three overlapping attributes:
- Financial Power (backing from a large banking group)
- Knowledge (banking/fintech ecosystem experience)
- Act Like Entrepreneur (startup agility and flexibility)
- No named competitors shown.
- Implicit moat: first-mover positioning as the only ethical/principle-based fully digital bank in Europe for this segment
- Backed by an unnamed "big banking group" - provides regulatory cover, balance sheet, and distribution
Recommended financial model
- Archetype + why: Neobank / fintech subscriber P&L with interchange + marketplace revenue streams. The business is a digital bank with multiple revenue layers (card interchange, participation accounts, marketplace). Best modelled as a monthly active user (MAU) cohort model driving interchange volume + marketplace attach rates, with a participation account AuM schedule for inWin. Similar to a SaaS ARR model but with transaction-based and AuM-based revenue replacing subscription.
- Forecast horizon & granularity: 5 years (2020–2024), monthly for Year 1–2, quarterly thereafter. Expansion milestones (2020 Germany, 2021 broader Europe) create natural breakpoints.
- Key drivers & assumptions:
- Monthly new user sign-ups: ramp from ~500/mo (Y1) to ~5,000/mo (Y3); no deck data
- Monthly churn rate: 2–3% (typical neobank early-stage); not in deck
- Average monthly card spend per active user: €300–500/mo based on European neobank benchmarks; not in deck
- Interchange rate (net): 0.20% of card spend (EU debit interchange cap)
- inWin participation account AuM per user: €500 avg deposit; not in deck
- inWin profit-share spread kept by insha: 0.5–1.0% p.a. of AuM
- inBox/inLoyal marketplace revenue per MAU per month: €1–3/user/mo; not in deck
- CAC: €15–30 (digital/community channels); not in deck
- Headcount and opex: lean startup profile; not in deck
- Geographic expansion cost step-up: 2021 EU expansion triggers regulatory + marketing spend increase
- Industry deposit CAGR benchmark: ethical banks +13.06% (10yr) used as a market-level sanity check
- Scenarios (Base / Bull / Bear - which variables flex):
- Bear: Slow user acquisition (500/mo plateau), low marketplace attach (€0.50/user/mo), no inGold/inWin uptake until Y3
- Base: Ramp to 3,000 new users/mo by Y2, €1.50/user/mo marketplace, inWin live Y2
- Bull: Viral/community growth to 8,000 new users/mo by Y2, strong inBox adoption (€3/user/mo), early EU expansion generates second growth curve
- Required sheets / outputs:
- Assumptions dashboard (all drivers in one place)
- User cohort model (monthly sign-ups → MAU → churn waterfall)
- Revenue build (interchange, participation account spread, marketplace/loyalty, gold custody)
- Opex / headcount plan (tech, ops, compliance, marketing)
- P&L (gross margin, EBITDA bridge)
- Cash & runway (given no funding info, model as sensitivity on raise size)
- Geographic expansion schedule (Germany Y1 → EU Y2)
- Scenario toggle (Bear / Base / Bull on user growth + ARPU)
Frequently asked
Is the Insha financial model free?+
Yes. The Insha 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 Insha'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
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