Fintech and SaaS face rising liquidity pressure
Private equity capital cycles are lengthening, putting increasing liquidity pressure on fintech and SaaS companies to generate free cash flow, according to a new report from Bain. Despite this climate, companies with clear monetization roadmaps are still securing funding. Basis, a fintech platform, recently raised a $100 million Series B at a $1.15 billion valuation, underscoring investor focus on tangible ROI from embedded financial services.
- Platforms like Shopify and Toast have shifted payments from a cost center to a primary revenue driver by becoming Payment Facilitators (PayFacs). This model allows them to onboard their own merchants, control the payment experience, and earn revenue from transaction fees. For instance, Toast generates approximately 80% of its revenue from financial technology solutions, which are mainly transaction-based fees. - Shopify's payment penetration demonstrates the power of an embedded model; in Q4 2025, Shopify Payments processed $84 billion, representing 68% of the total Gross Merchandise Volume (GMV) on its platform. This was a 38% increase over the previous year, showing accelerating merchant adoption. Similarly, by Q3 2024, 90% of eligible merchants had activated Shopify Payments, and it accounted for 62% of all GMV. - Vertical SaaS companies are increasingly embedding financial services to increase revenue per customer by a factor of 2 to 5 and reduce churn. This strategy moves beyond simple payment processing to include value-added services like short-term loans, insurance, or loyalty programs, turning the SaaS platform into a central financial hub for its customers. - The average sales cycle for enterprise SaaS deals targeting companies with over 1,000 employees is between 6 and 9 months, with some deals extending beyond a year. These lengthy cycles are due to the involvement of multiple decision-makers (often 10-11 people) and extensive security and legal reviews before the CFO gives final approval. - AI is being deployed to optimize payment routing and reduce fraud, which can lower fraud-related costs by 30% to 50%. Machine learning algorithms analyze transactions in real-time to select the most efficient processing path and identify anomalies that could indicate fraudulent activity. - Offering real-time or instant payment options is becoming a key differentiator. The global real-time payments market reached nearly $25 billion in 2024 and is projected to see a compound annual growth rate of over 35% through 2033. For SaaS platforms, offering faster payouts can be monetized through premium tiers and significantly improves user retention. - Expanding into international markets introduces significant cross-border payment complexity, including managing currency fluctuations, offering localized payment methods like SEPA Direct Debit in Europe, and navigating varying compliance and tax regulations. A robust cross-border strategy is critical for global expansion.
