Introduction
The payments industry is not a single business. It is a stack of distinct business models, each operating at a different layer, earning different fee types, carrying different risk profiles, and commanding different valuation multiples. The most common mistake in payments analysis (and in FIG interviews) is treating "payments companies" as a homogeneous category. In reality, Visa, Fiserv, and Stripe operate businesses that are as different from each other as a toll road is from a trucking company is from a logistics software platform.
Understanding where each participant sits in the payments stack, what it earns, what risks it bears, and why it trades at its particular valuation multiple is essential for analyzing payments M&A, advising on fintech partnerships, or valuing payments companies in an IPO context.
The Three Layers of the Payments Stack
Layer 1: Card Networks (Visa, Mastercard)
Card networks are the toll collectors of the global payments system. They operate the infrastructure rails that route transaction data between issuers and acquirers, set interchange rates, define brand and security standards, and process authorization/clearing/settlement messages. Critically, networks do not issue cards, extend credit, hold deposits, or take merchant risk.
Revenue model: network assessment fees (a small percentage of every dollar that flows through the network) plus data processing fees (per-transaction charges for authorization and settlement messages). Visa's effective take rate is approximately 23 basis points of total volume.
Margin profile: Visa operates at approximately 40% net margins; Mastercard is similar. The capital requirements are minimal (no loan book, no balance sheet risk), and operating leverage is extraordinary (incremental volume flows to the bottom line with near-zero marginal cost).
Competitive moat: two-sided network effects (more cardholders attract more merchants, and more merchants attract more cardholders), brand trust, global ubiquity, and regulatory barriers to entry. No new general-purpose card network has achieved meaningful scale in developed markets in decades.
Valuation: networks trade at 25-30x+ forward earnings, reflecting their capital-light, high-margin, network-effect-protected business models. Visa's market capitalization exceeds $600 billion; Mastercard exceeds $470 billion.
Layer 2: Processors and Acquirers (Fiserv, FIS/Worldpay, Global Payments)
Processors and acquirers sit between the merchant and the card network. The acquirer contracts with the merchant, provides the point-of-sale terminal or payment gateway, routes transaction data through the appropriate network, manages settlement (moving funds from the issuer to the merchant's bank account), and handles chargebacks and disputes. Many modern processors also provide value-added services: analytics, loyalty programs, inventory management, and fraud detection.
Revenue model: per-transaction processing fees (fixed amount per transaction plus a percentage of transaction value) and SaaS-style recurring revenue for value-added services. The acquirer charges the merchant discount rate (MDR), pays interchange to the issuer and network fees to Visa/Mastercard, and retains the spread.
Margin profile: 20-30% EBITDA margins, lower than networks because of higher operational complexity (merchant underwriting, hardware deployment, customer support, risk monitoring). Fiserv generated $20.7 billion in revenue in 2024; Global Payments approximately $9.6 billion.
Competitive moat: merchant relationships (switching costs for embedded POS systems), scale (lower per-transaction costs with higher volume), and regulatory licenses (PCI DSS compliance, acquiring licenses in multiple jurisdictions).
Valuation: processors trade at 12-18x forward earnings. The lower multiple compared to networks reflects higher capital intensity, more competitive pressure (merchants can switch acquirers), and margin vulnerability to interchange regulation (processors often pass through interchange, so their absolute margin is anchored to the small acquirer markup).
- Merchant Discount Rate (MDR)
The total fee a merchant pays on each card transaction, expressed as a percentage of the transaction value (plus sometimes a per-transaction fixed fee). The MDR is the "all-in cost" from the merchant's perspective and is composed of three parts: interchange (paid to the issuing bank, typically 1.5-2.5% for credit cards), network assessment fees (paid to Visa/Mastercard, typically 0.13-0.15%), and the acquirer markup (retained by the processor/acquirer, typically 0.2-0.5%). For a merchant paying a 2.5% MDR on a $100 sale, approximately $1.80 goes to the issuer (interchange), $0.14 to the network, and $0.56 to the acquirer. In the US, MDRs for credit cards typically range from 2.0-3.1%, while debit MDRs are lower (0.5-1.5%) due to Durbin Amendment interchange caps for large issuers.
Layer 3: Payment Facilitators (Stripe, Block/Square, Adyen)
Payment facilitators represent the most significant structural shift in payments over the past decade. In the traditional model, each merchant must apply for its own merchant account through a time-consuming underwriting process. PayFacs hold a single master merchant account with an acquiring bank and onboard sub-merchants under that umbrella, enabling merchants to begin accepting payments in minutes rather than weeks.
Revenue model: PayFacs charge a blended rate (typically 2.6-2.9% + $0.30 per transaction for Stripe and Square in the US) that bundles interchange, network fees, and the PayFac's margin into a single transparent price. The PayFac's effective take rate (revenue as a percentage of gross payment volume) is typically higher than a legacy processor's acquirer markup because the PayFac bundles software, compliance, and instant onboarding into the fee.
Margin profile: varies widely by maturity. Stripe is approaching profitability at scale with $5.1 billion in net revenue; Adyen generates $2.16 billion at strong margins; Square's merchant business operates at moderate margins while Cash App carries different economics. At maturity, PayFacs can achieve 20%+ EBITDA margins.
Competitive moat: developer experience (Stripe's API-first approach makes it the default for internet businesses), ecosystem lock-in (merchants build their payment infrastructure on top of the PayFac's platform), and data network effects (more transaction data improves fraud detection and underwriting).
Valuation: PayFacs trade at premium revenue multiples (5-15x revenue depending on growth rate) rather than earnings multiples, reflecting the growth-stage nature of many players. Stripe's $106.7 billion valuation on $5.1 billion in revenue represents approximately 21x revenue. Adyen trades at approximately 23x forward revenue.
- Payment Facilitator (PayFac)
A registered entity that has a master merchant identification number with an acquiring bank and aggregates sub-merchants under that master account. The PayFac is responsible for underwriting sub-merchants, monitoring transactions for fraud, managing chargebacks, and ensuring PCI DSS compliance on behalf of all sub-merchants. In exchange for assuming these responsibilities, the PayFac earns a higher effective margin per transaction than a traditional acquirer because it bundles software, compliance, and onboarding speed into a single fee. The PayFac model was formalized by Visa and Mastercard in the early 2010s and has since transformed the acquiring landscape: Stripe (internet commerce), Square/Block (SMB in-person and omnichannel), and Adyen (enterprise unified commerce) are the three dominant PayFac platforms. For FIG analysts, the PayFac model matters because it is displacing traditional processors in merchant acquisition, creating new valuation paradigms (revenue multiples rather than earnings multiples), and generating M&A opportunities as legacy processors acquire or partner with PayFac platforms to modernize their merchant onboarding.
Why the Distinctions Matter for Valuation
| Factor | Networks | Processors | PayFacs |
|---|---|---|---|
| Revenue driver | Volume (bps on $) | Transactions (per-unit) | Take rate (% of GMV) |
| Margin | ~40% net | 20-30% EBITDA | Scaling toward 20%+ |
| Credit risk | None | Minimal (chargeback liability) | Sub-merchant risk |
| Capital intensity | Very low | Moderate (hardware, compliance) | Low to moderate |
| Competitive moat | Network effects | Merchant relationships, scale | Developer ecosystem, data |
| Valuation range | 25-30x+ P/E | 12-18x P/E | 5-20x revenue |
| Disruption risk | Low (regulatory protection) | High (PayFac displacement) | Moderate (commoditization) |
The valuation premium for networks over processors (roughly 2x on a P/E basis) reflects the network's structural advantages: zero credit risk, minimal capital requirements, two-sided network effects, and near-impossibility of competitive displacement. The premium for PayFacs over processors (valued on revenue rather than earnings) reflects the growth trajectory and software-like margin potential, but also carries execution risk if growth decelerates.
The payments stack operates differently in Europe than in the US, and these differences affect every layer's economics. The EU's Interchange Fee Regulation (IFR) caps consumer card interchange at 0.20% for debit and 0.30% for credit, compressing issuer revenue and reducing the interchange component of the MDR. For processors, this means the total MDR in Europe is structurally lower (often 1.0-1.5% versus 2.0-3.1% in the US), which compresses acquirer margins and makes scale even more critical for profitability. Adyen (Netherlands) has built a global unified commerce platform that serves enterprise merchants across both regulatory environments, and its ability to optimize authorization rates and routing across jurisdictions is a key competitive advantage over legacy processors that operate primarily in a single market. At the network layer, Visa and Mastercard face more competitive pressure in Europe from domestic debit schemes (Cartes Bancaires in France, girocard in Germany, Bancontact in Belgium) and from SEPA-based account-to-account payment rails that bypass card networks entirely.
The payments stack framework is the foundation for every payments analysis in FIG. Whether evaluating an acquirer consolidation deal, a fintech IPO, or a strategic partnership between a bank and a PayFac, understanding which layer a company operates in, what drives its revenue, and why it trades at its particular multiple is the starting point for accurate valuation and informed advisory.


