Payment 
Payment Economics has yet to become a formalized discipline.
We are defining it now. This is Issue 2 of the journal, formalizing it in real time.
Every established discipline in finance began the same way: someone recognized that a specific type of decision was being made repeatedly without a systematic framework, and that the lack of that framework was costing money.
Portfolio theory emerged when investors needed a structured way to think about risk and return across assets. Behavioral economics emerged when researchers saw that human decision patterns were creating predictable, measurable inefficiencies.
Payment economics is emerging now because finance teams are making thousands of decisions about how to pay suppliers. These decisions directly impact financial returns, yet remain unrecognized as economic decisions.
Issue 1 established that payment operations can generate recurring financial return. Issue 2 introduces the framework that makes it measurable, shows the first proof point, and invites you to help formalize what comes next.
The Gap No One Owns
Finance already has well-defined disciplines for managing money. Treasury optimizes internal liquidity, manages working capital, and oversees cash positioning. Procurement negotiates supplier contracts, manages vendor relationships, and optimizes total cost of ownership. AP operations processes invoices efficiently, maintains controls, and ensures timely execution.
Each function performs well within its domain. But a crucial question falls between them: how do we maximize the financial return generated by the act of paying itself?
Treasury manages cash position, but leaves transaction-level return generation unaddressed. Procurement negotiates what you pay, but leaves how the payment method creates value unaddressed. AP operations focuses on efficiency and control, with financial yield outside their measurement scope.
The question exists. The return exists. No function owns optimizing it. This is the gap that payment economics fills.
What Payment Economics Is
Payment economics is the study and optimization of financial returns generated by how companies pay suppliers. This is distinct from what they pay, when they pay, or why they pay. It focuses on three areas:
- Method economics: which payment rails generate return, which are neutral, and which create cost
- Acceptance dynamics: why suppliers accept or reject specific methods, and how to optimize method selection
- Return optimization: how to systematically capture available financial value by matching the right payment method to the right supplier at the right time
Payment economics is distinct from adjacent disciplines. Treasury management focuses on your cash; payment economics focuses on how paying generates return. Procurement strategy focuses on contract terms; payment economics focuses on transaction-level value creation. AP operations focuses on workflow; payment economics focuses on financial outcomes.
These functions connect through a shared metric they currently leave unmeasured: Payment Yield.
Payment Yield: The Core Metric
Payment Yield quantifies the financial return generated across all payment volume:
Payment Yield = (Financial Return Generated) ÷ (Total Payment Volume)
Operationally, this breaks into two component variables:
Payment Yield = CR × SA
This formula becomes the foundation of the discipline.
CR (Capital Return) is the blended percentage of direct financial return generated per dollar paid through yield-generating methods. This includes commercial card rebates, virtual card rebates, dynamic discounting returns, early payment discount capture, and payment float benefits. Any measurable financial return created by payment method selection counts toward CR.
SA (Supplier Acceptance) is the percentage of payment volume flowing through yield-generating methods.
This formula reveals something decisive: most companies optimize CR, while almost none measure or optimize SA. SA is often the more powerful lever.
Why This Matters
Consider two companies that each pay $100M annually:
| Metric | Company A | Company B |
|---|---|---|
| Capital Return (CR) | 1.5% | 1.2% |
| Supplier Acceptance (SA) | 10% | 60% |
| Payment Yield | 0.15% | 0.72% |
| Annual Return | $150,000 | $720,000 |
Company B generates nearly 5x more financial return despite a lower nominal return rate. Same suppliers. Same spend. Same payment programs. The difference is how intelligently they route payments.
The First Proof Point
A mid-market manufacturer processing $85M in annual payments assumed their payment returns were fully optimized. Their AP team was efficient. Their Treasury function was sophisticated. Their rebate program was established.
When they finally measured what percentage of payments actually flowed through yield-generating methods, the answer was 9%. Their Payment Yield was 0.13%, or $107K annually.
After implementing payment infrastructure that captured supplier acceptance behavior and recommended optimal methods, they improved to 53% of volume through yield-generating methods. Payment Yield rose to 0.74%. Annual return increased to $629K.
The $522K gain required no changes to payment program rates, no contract renegotiations, and no additional headcount. It came entirely from recognizing that payment method decisions are economic decisions.
We have this one proof point, the framework, and sound math. We're still building the library of case studies. That's how new disciplines start.
The Scale of the Opportunity
U.S. companies process roughly $35 trillion in B2B payments annually, with small and medium-sized businesses accounting for almost half of this market (eMarketer, 2024). Based on the Payment Economics framework, most organizations achieve Payment Yield between 0.05% and 0.3%, averaging around 0.175%.
The Payment Economics framework estimates that a meaningful share of B2B payment volume is eligible for yield-generating methods at an average 1.5% blended return rate, putting a 1% Payment Yield target within reach for organizations that actively manage Supplier Acceptance.
- Current state (0.175% PY): $35T × 0.175% = $61B captured
- Future state (1.0% PY): $35T × 1.0% = $350B captured
- Opportunity: $289B annually in the U.S. alone
Your share of that opportunity is sitting in your AP data right now, unmeasured. At $100M in annual payments the opportunity is approximately $825K. At $500M it is $4.1M. At $1B it is $8.25M.
Why Payment Economics Didn't Exist Until Now
Three structural constraints prevented its emergence. Payments were treated as administrative, not economic. The decision about how to pay was seen as operational, not financial. The data existed but remained invisible. Finance leaders could see total rebates but lacked visibility into supplier acceptance rates by method. Payment-level financial outcomes had no owner. The question fell between Treasury, Procurement, and AP. Without visibility and ownership, optimization was impossible.
What Changed
Three developments made payment economics both possible and necessary.
1. Multiple payment rails now generate measurable recurring return. Virtual cards will be the fastest-growing B2B payment channel over the next five years, with a 370% increase in transaction value projected (Juniper Research, 2025). Commercial card programs and integrated payables solutions have matured alongside them. Method selection shifted from operational preference to economic decision.
2. Modern payment infrastructure emerged. Platforms now capture real-time supplier acceptance behavior, reveal optimal payment method selection patterns, and recommend methods that maximize return. What was invisible became measurable. What was manual became scalable.
This infrastructure typically integrates with existing AP systems via API and tracks three critical data points: which payment methods were offered to which suppliers, which methods were accepted or declined, and why. If your current AP platform cannot answer "what percentage of our suppliers accepted virtual card when offered?" you're operating blind. Modern infrastructure makes that visible.
Modern methods also settle to suppliers in 1-3 days, faster than checks or standard ACH. Suppliers benefit from improved cash flow while buyers capture financial returns. The incentives aligned.
3. API-enabled payment networks removed technical barriers. Suppliers can now accept yield-generating payment methods without changing their AR systems, banks, or processes. The "we can't accept that method" objection largely disappeared.
These three shifts happened simultaneously. Payment method selection became an economic lever that finance could and should actively manage.
The Core Problem
Most companies track total rebates. Almost none separate CR from SA. Without that separation, critical questions go unanswered: did returns grow because CR improved, SA improved, or spend increased? Are returns flat because the organization is optimized or because SA has stalled? Which suppliers are capable of accepting yield-generating methods but currently receive checks?
You can only optimize what you measure separately.
What This Means for Finance Functions
AP departments are transforming from back-office functions to strategic engines driving organizational success (PYMNTS, 2025). Payment Yield gives each function a concrete stake in that transformation. CFOs gain a return metric beyond cost management. Treasury uses supplier acceptance patterns to improve liquidity forecasting. Procurement incorporates payment method flexibility into supplier negotiations. AP manages Payment Yield as a core performance metric. FP&A includes Payment Yield in planning and performance tracking.
The discipline emerges when each function recognizes it influences the same economic outcome.
Where We Are Now
Payment economics as a formalized discipline is emerging, not yet established. We are still building standardized benchmarks across industries, a certification program for Payment Portfolio Managers, consensus on best practices for every scenario, and a growing library of case studies proving repeatability.
What we do have: a sound framework (CR × SA), clear math showing the opportunity, one proof point demonstrating it works, and infrastructure that makes it measurable. That's enough to begin.
Every discipline in finance started exactly this way: with a framework, early proof, and practitioners willing to formalize what works. Early movers shape disciplines. Late movers follow playbooks written by someone else.
Questions Worth Asking
- What is your current Payment Yield? Could you calculate it today?
- Do you track CR and SA separately, or only total rebate dollars?
- Which suppliers receive checks or ACH today that could accept yield-generating methods?
- Who in your organization owns the decision of which payment method each supplier receives?
What You Can Do This Week
To measure Payment Yield: calculate total financial return from payments (rebates, discounts captured, float benefits), divide by total payment volume to get your current Payment Yield, determine what percentage of volume flows through yield-generating methods (that's your SA), and calculate CR (total return ÷ yield-generating volume). You now have your baseline: CR × SA = Payment Yield.
To improve Payment Yield: ask three questions. Which suppliers are capable of accepting yield-generating methods but currently receive checks or ACH? Why do those payments route through other methods? Who decides which payment method each supplier receives, and is that decision intentional or default? Most companies will discover SA is far lower than they assumed.
Building Forward
Issue 3 explores the formalization of Payment Economics and how technology has created a new financial discipline.
Payment Economics in Practice
AP Copilot: The AP platform built for AP teams. AP Copilot turns accounts payable into a profit center through workflow tools designed for the people actually processing payments. The platform achieves 50% virtual card acceptance, 10x the industry average, by making supplier conversion and daily payment work visible, collaborative, and rewarding. 1% of all revenue goes to planting trees. Learn more: https://apcopilot.com
About The Payment Economics Journal
The Payment Economics Journal examines how organizations measure and capture economic return from payment operations. Published weekly by Daniel Jasinski, The Payment Economist.
Payment Economics Framework
For the complete Payment Economics framework, including Payment Yield, Capital Return, Supplier Acceptance, and the Payment Portfolio Manager role, visit payment-economics.org.
Suggested Citation
Jasinski, D. (2025). Why Payment Economics Is the Missing Discipline in Enterprise Finance. The Payment Economics Journal, Issue 2. Payment Economics Institute.
Authorship & Intellectual Property
© 2026 Daniel Jasinski. All rights reserved. The Payment Economics Journal, Payment Yield, Capital Return, Supplier Acceptance, Payment Portfolio Manager, Payment Economics Practitioner, Payment Efficiency Index (PEI), and Payment Cost Ratio (PCR) are original frameworks and terms introduced by Daniel Jasinski. No part of this publication may be reproduced, distributed, or transmitted in any form without prior written permission, except for brief quotations in reviews and academic citations with proper attribution.
References
eMarketer. (2024, February). US B2B Payments Forecast 2024. Retrieved from https://www.emarketer.com/content/us-b2b-payments-forecast-2024
Juniper Research. (2025, September). B2B Payments to Hit $224 Trillion by 2030 Globally. Retrieved from https://www.juniperresearch.com/press/b2b-payments-to-hit-224-trillion-by-2030-globally-driven-by-emerging-market-expansion/
PYMNTS. (2025, January). From Back Office to Strategic Powerhouse: AP's Transformation in 2025. Retrieved from https://www.pymnts.com/tracker_posts/from-back-office-to-strategic-powerhouse-aps-transformation-in-2025