Private equity fintech deals die on licenses, AML, unit economics, credit/fraud, and partner-bank risk — not on GMV headlines. Use this guide to screen payments, lending, BaaS, and wealthtech targets before LOI and run a sharper confirmatory workstream after it.
Fintech PE due diligence is the structured review of a payments, lending, banking-as-a-service, wealthtech, or insurtech company before a buyout, growth equity check, or platform add-on. Buyers are underwriting regulated product scope and loss-absorbing economics — not pure SaaS ARR.
That changes the kill criteria. A software business with messy sales efficiency can still close. A payments or lending platform with a missing money transmitter license, a failing AML program, or loss rates that only work at venture CAC can destroy entry multiple assumptions before SPA redlines start.
Money transmitter / MSB maps, lending licenses, broker-dealer or RIA as applicable, state coverage gaps, charter vs partner-bank model, and change-of-control consent paths.
BSA program maturity, SAR culture, OFAC screening, CFPB/state AG exposure, UDAAP, fair lending, disclosures, and marketing claims risk.
Contribution margin by product, CAC payback, take rates, funding costs, cohort retention/usage, and whether growth is subsidy-driven.
Credit loss curves, fraud rates, chargebacks, collections, reserves, model governance, and operational resilience under stress.
Core ledger integrity, vendor concentration, cloud cost, SOC/PCI posture, incident history, and IP/ownership of critical models.
Sponsor bank / BIN / processor concentration, key contracts, litigation, key-person risk, and post-close retention for compliance and engineering leaders.
| Metric / lens | What good looks like (context-dependent) | Red flag |
|---|---|---|
| Take rate / net revenue | Stable after mix and fee-schedule explanation | Revenue only from one-time float or subsidies |
| Contribution margin | Positive after variable risk costs | Gross profit evaporates after fraud/credit/funding |
| CAC payback | Payback within underwriting horizon | Growth only at CAC that never recovers |
| Credit / fraud losses | In-line with vintage curves and reserves | Rising losses masked by new originations |
| License coverage | States match revenue map; transfer path known | Material revenue in unlicensed jurisdictions |
| Partner bank concentration | Diversified or replaceable; SLAs clear | Single bank can kill the program overnight |
| AML program signals | Clean exams; no enforcement trail | Consent orders, MSB issues, SAR backlog lore |
| Security / PCI / SOC | Current attestations; no open critical findings | Recent breaches without credible remediation |
If the CIM shows EBITDA without a clear bridge to take rates, loss rates, funding costs, and compliance overhead, treat the number as marketing until proven. PE models that price fintech platforms on GMV growth without regulatory and risk truth overpay systematically.
Traditional fintech multi-workstream diligence often runs $75K-$300K+ and 4-10 weeks. A structured first-pass public-info pack is $49 per target — or $129 for a 3-Pack shortlist with a comparison PDF.
Order a fintech PE pack · $39.20 launch → See sample PDFFirst-pass list for buyout screening. Severity tags: Deal-Killer, High, Watch.
| Signal | Why it kills |
|---|---|
| Revenue map exceeds license map | Enforcement and refund risk; transfer may be impossible on SPA timeline |
| Consent order or open exam findings | Capex and timeline uncertainty; buyers price control failure heavily |
| Single partner bank concentration | Program can be wound down; replacement banks may re-underwrite the book |
| Loss rates rising with new vintages | Growth is buying bad risk; EBITDA is overstated relative to steady state |
| Fraud / chargebacks above peers | Network fines, bank exits, and brand damage compound quickly |
| Security breach without remediation proof | Trust, insurance, and regulator response can freeze M&A processes |
| Unit economics only work with heavy subsidy | Post-close growth will require more capital than the model admits |
| Approach | Typical cost | Typical time | Best use |
|---|---|---|---|
| Full multi-workstream fintech DD | $75K-$300K+ | 4-10 weeks post-LOI | Confirmatory on shortlist finalists |
| Specialist AML / credit / tech only | $25K-$150K | 2-6 weeks | Known risk deep-dives |
| Public-info first-pass pack (dodilligence) | $49 / target ($129 3-Pack) | ~minutes to hours | Triage 5-20 names before banker fees |
Use first-pass packs to kill obvious license, enforcement, partner, and economics problems early. Save specialist counsel and QoE for names that survive open-source filters.
Each target has a free 1-page brief and a full 20-page PDF diligence report ready to order. Pick a name to start screening.
Order a structured public-info diligence PDF for your next payments, lending, or wealthtech name. No subscription. PDF only after legal acceptance.
Order single report $49 3-Pack shortlist $129 View sample PDF
Screening frameworks across every active deal sector. Each guide maps to buyable company reports.