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Payment Economics Journal Issue 23: The CFO Measurement Problem in Enterprise Payments

The Payment Economics Journal · Issue 23

The CFO Measurement Problem in Enterprise Payments

Governing Payments as a Return-Bearing Layer

April 23, 2026 · Daniel Jasinski and Jacques Yana Mbena, PhD

The payment function sits on most CFO dashboards as an operating cost. Invoices processed. Cycle time. Exception rate. Straight-through processing. Those numbers describe movement. They do not describe what the function produces. A payment operation can clear every invoice on time, maintain full control, and still produce a fraction of the return its method mix and supplier base make possible. The question at the CFO level is not whether the function runs efficiently. The question is whether anyone measures what it produces.

Issue 1 of this Journal named the governing error: “treating payments as costs to minimize rather than assets to optimize” (Jasinski, 2025b). Every downstream measurement failure descends from that framing. A dashboard built to minimize cannot surface return. The logic of the instrument forecloses the question before anyone asks it.

Payments sit inside corporate finance. Kahn and Roberds (2009) place payments economics in dialogue with corporate finance. Petersen and Rajan (1997) document suppliers functioning as a critical financing channel for credit-constrained firms. Cuñat (2007) shows suppliers acting as liquidity providers precisely when bank credit tightens. The academic record placed payments inside the CFO’s domain decades ago. Finance governance did not follow.

What payment economics measures

Payment economics studies the financial returns a company generates through how it pays suppliers. The unit of analysis is the decision inside the payment: method, timing, supplier acceptance, financing activation. Payments are decision points that influence financial returns, working capital, supplier behavior, and access to financing. Measurement reveals the return consequences of decisions the function already makes every day.

Issue 1 stated the central claim directly: “A payment is not an administrative task. A payment is an asset with recurring economic value every time the money moves” (Jasinski, 2025b). That reframing anchors the entire framework. Everything that follows descends from treating the payment as an asset rather than an event.

Jasinski (2025a) defines the field as the study and optimization of returns generated by supplier payment practices. The framing fits the academic record. Burkart and Ellingsen (2004) model trade credit as in-kind finance. Fisman and Love (2003) link trade credit to industry growth where financial intermediation runs thin. Klapper, Laeven, and Rajan (2012) show trade credit contracts varying systematically with counterparty quality and bargaining position. Fabbri and Menichini (2010) trace how collateral structure shapes trade credit usage. The common thread across the literature: supplier payment is a financing act with distributional consequences across buyer, supplier, and any intermediary. Running it as pure operations erases the financial content.

Issue 2 closed the loop on the governance side: “The question exists. The return exists. No function owns optimizing it” (Jasinski, 2025a). The opportunity is not latent. It is unowned.

Payment Yield as the executive metric

The metric that carries the framework is Payment Yield:

Payment Yield = Financial Return Generated ÷ Total Payment Volume

Decomposed into governable variables:

Payment Yield = Capital Return × Supplier Acceptance

One variable sets the rate. The other determines how much of the base captures it.

Capital Return is “the blended percentage of direct financial return generated per dollar paid through yield-generating methods.” Supplier Acceptance is “the percentage of payment volume flowing through yield-generating methods” (Jasinski, 2025a). The product expresses yield in basis points of addressable spend, which finance leadership can defend in a quarterly review alongside margin, working capital days, and cost of capital.

Payment Yield is not rebate income or discount capture in isolation. It is the return produced when the company manages method, timing, and supplier acceptance as financial variables rather than workflow defaults.

Payment Yield is a managerial construct, not yet an established academic standard. It consolidates returns that already post to the general ledger across AP, Treasury, and Procurement in different categorizations. The data exists. The aggregation is the contribution.

The academic literature supports each component. Ferrando and Mulier (2013) find firms using trade credit structurally to manage growth, evidence for Supplier Acceptance as a strategic lever. Wuttke, Rosenzweig, and Heese (2019) document financially constrained suppliers adopting supply chain finance faster when the economics favor them, evidence for Capital Return as an economic signal transmitted through the supplier base. Gelsomino, Mangiaracina, Perego, and Tumino (2016) separate a finance-oriented from a supply-chain-oriented view of SCF, both anchored in working-capital optimization. Payment Yield gives the CFO one number that carries all of it.

Why efficiency metrics stop short

Most payment functions run on efficiency metrics. Cost per invoice. Cycle time. Straight-through processing. Those measures tell leadership what the function costs to operate and how fast it moves work. They leave the question of what the function produces unaddressed (Jasinski, 2026a). The organization automated the sequence. It did not automate the economic decision. The workflow completes. The value decision never occurs.

Issue 7 named the blind spot in three beats: “Your AP system sees almost everything. What it does not see is which payment method would have generated the most return. The economic decision never happened” (Jasinski, 2025c). The workflow completes. The value question runs outside it, or runs nowhere at all.

The broader working-capital literature confirms the critique. Deloof (2003) shows managers improving profitability by reducing days receivable and inventory, while less profitable firms take longer to pay suppliers. Baños-Caballero, García-Teruel, and Martínez-Solano (2014) identify an inverted U-shape between working capital investment and firm performance. The objective is not minimization. The objective is optimization. Aktas, Croci, and Petmezas (2015) report firms moving toward the working-capital optimum improve performance measurably. The CFO question is not whether the payment function is cheaper. The CFO question is whether payment structure, timing, and supplier participation move the firm toward its economically superior working-capital position.

The formula CFOs can use

Once Payment Yield is measured, the second question arrives: does the payment function produce more value than it costs to run? That requires a companion ratio.

Payment Efficiency Index = Payment Yield ÷ Payment Cost Ratio

Payment Cost Ratio loads the full cost of running the function: labor, software, banking and processing fees, exception handling, allocated executive time. Expressed in basis points of spend on the same basis as yield, PEI answers one question directly: for every basis point the company spends running the payment function, how many basis points of yield does the function generate (Jasinski, 2026a)?

PEI translates payment performance into a CFO-native ratio instead of a cluster of operational statistics. The logic has precedent. Wuttke, Blome, and Henke (2013) argue financial supply chain management should strengthen managerial decisions concerning financial flows. Gelsomino et al. (2016) center supply chain finance research on accounts payable, receivable, and working-capital optimization. PEI does not invent the value question. It forces the question into a measurement format leadership can act on.

Case study: a $250 million industrial distributor

Consider an industrial distributor running $250 million in annual addressable B2B spend across 600 suppliers. An ERP carries transactions. An AP automation platform sits on top. Treasury manages one commercial banking relationship and one commercial card program. Cash conversion cycle runs 52 days. Gross margin sits at 28 percent.

Step 1: Measure Payment Yield

The distributor produces yield from three sources.

First, the virtual card program captures 1.4 percent rebate on 20 percent of spend:

  • $250 million × 20% × 1.4% = $700,000

Second, the early payment discount program captures a blended 1.8 percent net on another 10 percent of spend:

  • $250 million × 10% × 1.8% = $450,000

Third, payment timing creates float benefit. Payments delay an average of seven days across the full $250 million at a 4.5 percent cost of capital:

  • $250 million × 4.5% × (7/365) ≈ $216,000

Tier 1 Payment Yield totals $1,366,000, or 54.6 basis points of addressable spend.

Decomposed into the governable variables: Supplier Acceptance on yield-generating methods runs at 30 percent of spend. Capital Return blended across those methods runs at 1.53 percent. The product expresses as roughly 46 basis points on method yield, plus 8.6 basis points of float benefit, summing to the 54.6 basis point total.

Step 2: Load the Payment Cost Base

The second step loads the full cost of the payment function.

  • Labor across AP, vendor master, and disbursement oversight: $950,000
  • Bank and processing fees: $340,000
  • Software across the AP platform, payment hub, and allocated ERP modules: $310,000
  • Incident and exception handling: $140,000
  • Allocated executive and management time: $320,000

Payment Cost Ratio: $2,060,000, or 82.4 basis points.

Step 3: Compute the Payment Efficiency Index

$1,366,000 divided by $2,060,000 equals 0.66x. For every dollar the company spends running the payment function, it gets back sixty-six cents of financial return. Net economic value: -$694,000 per year. The function is fully operational. It is economically negative.

The frontier

Modeled Tier 1 frontier performance across comparable mid-market companies reaches 11.1x PEI (Jasinski, 2026a). The gap between 0.66x and 11.1x does not suggest the distributor captures eleven times current yield immediately. The gap defines the structural headroom available to this company. Moving Capital Return from 1.53 percent toward 2.2 percent and Supplier Acceptance from 30 percent toward 55 percent, both within reach for this company profile, lifts method yield from $1.15 million to $3.03 million. Adding unchanged float, total Tier 1 Payment Yield reaches $3.24 million, or approximately 130 basis points, raising PEI past 1.57x on yield expansion alone. Applying middle-market M&A multiples averaging 9.8x EBITDA in 2025, the $1.87 million of incremental annual yield translates to roughly $18 million of incremental enterprise value sitting inside current operations.

Tier 2 activation

The second layer of yield derives from the capital the payment activates, not from the payment method alone (Jasinski, 2026b). Tier 2 expands the CFO lens from payment optimization to capital activation. A supply chain finance structure reaching 40 percent of spend at 75 basis points of captured platform margin adds $750,000 in Tier 2 yield. Combined Payment Yield reaches $2,116,000. PEI moves past 1.0x on yield expansion alone, before any cost optimization on the PCR side. The Tier 2 decision is a financial-product decision, not an AP-workflow decision, which is precisely why ownership of the decision rarely sits inside finance governance today. That is why it rarely sits inside the function that controls the payment.

The case study surfaces one observation the efficiency dashboard never surfaces: this distributor runs a payment function that loses money on net. No CFO governs other line items this way. Most CFOs govern this one by not measuring it.

Why supplier acceptance belongs in the CFO conversation

The most underweighted part of the framework is Supplier Acceptance. The buyer controls payment capability. The supplier controls participation. Capability without participation produces zero. Issue 22 states the point directly: “The accepting side sets the ceiling” (Jasinski, 2026b).

The academic literature lands in the same place. Cuñat (2007) describes suppliers as liquidity providers operating under their own capital constraints. Klapper, Laeven, and Rajan (2012) show discount and maturity terms moving with supplier risk and bargaining position. Ferrando and Mulier (2013) demonstrate trade credit usage rising when financing friction rises. Wuttke, Rosenzweig, and Heese (2019) find financially constrained suppliers adopting SCF faster when the economics favor them. The consistent finding across the record: supplier economics governs supplier response. Inferring yield from buyer capability alone produces systematic overestimation. Validating yield against supplier economics produces governable forecasts.

Supplier Acceptance belongs in the CFO conversation because it is the variable that converts payment capability into captured yield. Every basis point of Capital Return the buyer makes available runs through the Supplier Acceptance gate before reaching the P&L.

The executive implication

Payments are not an operating function. They are a financial asset class, measurable once method, timing, acceptance, and financing activation enter one model.

Most companies already produce the return. They do not measure it.

What is unmeasured is unowned. What is unowned is unmanaged.

Payment economics makes three things visible at the same altitude: the return produced by payment design, the supplier participation required to realize that return, and the cost of the operating infrastructure sustaining both. It does not replace AP, Treasury, or Procurement. It connects them. It surfaces the financial value sitting between them.

The CFO question follows:

What does the payment function produce, and who owns that outcome?

The data already sits in the general ledger. The authority already sits with the CFO. The only missing element is the decision to measure and assign ownership.

Once that decision is made, the payment function becomes governable as a source of return.

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: apcopilot.com

Advisory: Engagements measuring Payment Yield, Payment Cost Ratio, and the Payment Efficiency Index for the Office of the CFO across three models: Yield Partnership, Payment Economics Diagnostic, and Advisory Retainer. Every engagement produces the measurement framework this piece describes, computed against the company’s own general ledger. Learn more about advisory engagements

About The Payment Economics Journal

The Payment Economics Journal examines how organizations measure and capture economic return from payment operations. Published weekly by the Payment Economics Institute.

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., & Yana Mbena, J. (2026). The CFO Measurement Problem in Enterprise Payments: Governing Payments as a Return-Bearing Layer. The Payment Economics Journal, Issue 23. 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 Economics 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

Aktas, N., Croci, E., & Petmezas, D. (2015). Is working capital management value-enhancing? Evidence from firm performance and investments. Journal of Corporate Finance, 30, 98–113.

Baños-Caballero, S., García-Teruel, P. J., & Martínez-Solano, P. (2014). Working capital management, corporate performance, and financial constraints. Journal of Business Research, 67(3), 332–338.

Burkart, M., & Ellingsen, T. (2004). In-kind finance: A theory of trade credit. American Economic Review, 94(3), 569–590.

Cuñat, V. (2007). Trade credit: Suppliers as debt collectors and insurance providers. Review of Financial Studies, 20(2), 491–527.

Deloof, M. (2003). Does working capital management affect profitability of Belgian firms? Journal of Business Finance & Accounting, 30(3–4), 573–588.

Fabbri, D., & Menichini, A. M. C. (2010). Trade credit, collateral liquidation, and borrowing constraints. Journal of Financial Economics, 96(3), 413–432.

Ferrando, A., & Mulier, K. (2013). Do firms use the trade credit channel to manage growth? Journal of Banking & Finance, 37(8), 3035–3046.

Fisman, R., & Love, I. (2003). Trade credit, financial intermediary development, and industry growth. Journal of Finance, 58(1), 353–374.

Gelsomino, L. M., Mangiaracina, R., Perego, A., & Tumino, A. (2016). Supply chain finance: A literature review. International Journal of Physical Distribution & Logistics Management, 46(4), 348–366.

Jasinski, D. (2025a). Why payment economics is the missing discipline. The Payment Economics Journal, Issue 2. Payment Economics Institute.

Jasinski, D. (2025b). The most expensive misconception in modern finance. The Payment Economics Journal, Issue 1. Payment Economics Institute.

Jasinski, D. (2025c). The economic blind spot in AP workflows. The Payment Economics Journal, Issue 7. Payment Economics Institute.

Jasinski, D. (2026a). The payment efficiency index. The Payment Economics Journal, Issue 17. Payment Economics Institute.

Jasinski, D. (2026b). The capital activation layer. The Payment Economics Journal, Issue 22. Payment Economics Institute.

Kahn, C. M., & Roberds, W. (2009). Why pay? An introduction to payments economics. Journal of Financial Intermediation, 18(1), 1–23.

Klapper, L., Laeven, L., & Rajan, R. (2012). Trade credit contracts. Review of Financial Studies, 25(3), 838–867.

Petersen, M. A., & Rajan, R. G. (1997). Trade credit: Theories and evidence. Review of Financial Studies, 10(3), 661–691.

Wuttke, D. A., Blome, C., & Henke, M. (2013). Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management. International Journal of Production Economics, 145(2), 773–789.

Wuttke, D. A., Rosenzweig, E. D., & Heese, H. S. (2019). An empirical analysis of supply chain finance adoption. Journal of Operations Management, 65(3), 242–261.

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