Quarterly Financial Narrative
Prepared for the Board of Directors and Series B prospective investors
Executive Summary
Q4 represents an inflection point. Monthly GMV closed at $289K (up 133% YoY), with net revenue retention reaching 124%. The platform is embedding itself into customer procurement workflows, not operating as a point solution. Unit economics are moving in the right direction: CAC payback compressed from 18 months to 14.2, burn multiple fell from 2.1x to 1.3x.
Commercial momentum is running ahead of financial infrastructure. This hire addresses that gap directly. Below: the numbers, the narrative, and the path to Series B.
Growth Signals: Why the Flywheel Is Turning
Three data points confirm the marketplace is compounding:
Active suppliers grew from 28 to 58 (+107% YoY). Each new supplier increases SKU depth, which attracts more buyers. Average GMV per supplier: $46K/year and growing. Quality, not just quantity. Supplier NPS at 48 vs. industry average of 22 for legacy platforms.
Repeat purchase rate: 68% (up from 52% in Q1). Average order frequency: 3.2x per quarter. Q4 buyer cohort showing 50% M1 retention vs. 42% for Q1 cohort. The platform is transitioning from discovery tool to procurement system of record.
Blended take rate increased from 10.5% to 12.0% through value-added services (logistics, quality assurance, financing). NRR of 124% confirms customers are spending more despite the higher take. They're paying for value, not just access.
Unit Economics: Path to Profitability
55% contribution margin. Every incremental dollar of GMV generates $0.066 of contribution profit after all variable costs. At current growth (8%+ MoM) and fixed cost trajectory (8% annually), cash-flow breakeven sits at approximately $420K monthly GMV, roughly 6-8 months from today. Series B capital extends runway and accelerates the path to this milestone while funding expansion.
Risk Register: What I'd Flag Proactively
Transparency builds investor trust. These are the items I'd surface before they ask:
Diversification programme active. Pipeline of 12 qualified suppliers in adjacent categories. Target: <30% concentration by end of Q2.
Reallocating 20% of paid budget to content and referral channels (3.2x and 2.8x better ROI respectively). Product-led growth via buyer referral programme in development.
Hedging 60% GBP, 40% EUR. Natural hedge improving as UK costs offset UK revenue. Transfer pricing structure optimised for tax efficiency across both entities.
Addressed through AI-automated workflows that reduce manual dependency. Documentation-first approach to all processes. First FP&A hire planned post-Series B close.
The Series B Thesis
A modern, AI-native platform replacing fragmented legacy procurement in a sector that moves billions annually. 133% revenue growth and 124% NRR demonstrate this is becoming the operating system, not just a tool. Unit economics are structurally sound: 55% contribution margin, 1.3x burn multiple, meaning every dollar of burn generates nearly a dollar of new recurring revenue. Series B funds three things: geographic expansion into adjacent markets, product investment in AI-powered procurement automation, and the team build-out to support 3x GMV growth over 18 months.
Deliverables: What This Role Produces
Immediate: Own & Stabilise
- •Take ownership of outsourced accounting; audit current state
- •Own monthly close; compress cycle to 5 days through automation
- •Implement real-time cash dashboard and 13-week rolling forecast
- •Review and formalise UK transfer pricing arrangement
Build: FP&A Infrastructure
- •Build 3-year financial model with scenario planning capability
- •Deploy KPI dashboard with automated data pipelines
- •Produce first AI-assisted board pack with financial narrative
- •Deliver spend ROI analysis and budget reallocation recommendation
Scale: Series B Execution
- •Data room prepared, indexed, and access-controlled
- •Investor-grade financial narrative written and tested
- •Due diligence Q&A pre-prepared with supporting materials
- •End-to-end support to CEO through the fundraising process
Ongoing: AI-Native Approach
- •Automated reconciliation, categorisation, anomaly detection
- •Build not buy: custom tooling where SaaS falls short
- •Documentation-first to reduce single-person dependency
- •Lean team: one strategic hire post-Series B, not five
This narrative is based on the mock data in this prototype. With access to the actual numbers, I'd have Series B materials investor-ready within 8 weeks of starting.