← back to rankingV · Visa Inc.
Financial - Credit Services · mkt cap $608.2B · calls: Q2 FY2026 vs Q1 FY2026
48.0 conviction · conf-adj 48
conf 3/10 partial
enthusiasm:27.0 · trend:8 · quantifies:0 · impact:0 · under_radar:0 · credibility:5 · business_impact:8 · disruption:0 · commitment:0 · confirmation:0
Enthusiasm latest 9 / prev 8 (rising)
Visa's AI thesis moved from “working to enable AgenTik Commerce” to “AI and agentic commerce will expand our addressable market” and “accelerate Visa's long-term growth.” Credibility is supported by “real transactions with Visa agentic tokens,” “up to a 5x increase in fraud value capture,” and “over 60 billion transactions scored.”
GROUNDED NEXT-FY IMPACT vs CONSENSUS
Grounded on actual base — revenue $40.0B · net income $20.1B · net margin 50.1% · diluted EPS 10.2
These are next-fiscal-year annual uplift estimates, not next-quarter numbers.
Aggregate next-FY est. rev uplift: % · next-FY EPS uplift: % · vs analysts: unclear · priced in: high (model's call-read: medium; verdict above is the hard-data one used for ranking) · confidence: 3/10
| Claim | Figure | Arithmetic | Next-FY Rev % | Next-FY EPS % |
|---|
AI fraud value capture up to 5x other · soft | up to 5x increase | 5x of an undisclosed base. No $ fraud-value-capture base, Visa fee/retained economics, or P&L line disclosed; value captured accrues to the ecosystem/clients, not directly to Visa revenue. Cannot anchor to $40B rev or $20.058B NI. Not invented. | | |
AI macro 80-150bps incremental GDP revenue · soft | 80-150 bps incremental GDP | Third-party macro GDP estimate, not a Visa figure. GDP->consumer spend->payments volume->Visa revenue is a multi-step elasticity chain with no disclosed Visa pass-through; assuming 1:1 pass-through to size it onto $40B rev would be invention. Left unsized. | | |
VAAI: 60B txns scored / 600M suspicious engagement · soft | 60B scored, 600M flagged | Scale/activity metric (1.0% suspicious-identification rate). No per-score price, take-rate, or fraud-dollar conversion disclosed; scoring volume is not a Visa P&L line. Unanchorable to rev/NI. | | |
VAAI LAC: ~90% activated, >$10B fraud prevented productivity · soft | >$10B fraud prevented in 6 months | $10B is fraud value prevented FOR cardholders/clients/issuers, not Visa revenue. Could feed Value-Added Services revenue, but no disclosed take-rate or retained economics on prevented fraud, so any $ to Visa would be invented. Soft. | | |
Agentic commerce: 100+ partners, 30+ in sandbox engagement · soft | 100+ / 30+ partners | Partner/pipeline count (>=30% sandbox activation), pre-revenue. No production volume, take rate, revenue, or timing disclosed. No base to compute uplift. Soft. | | |
6 AI dispute-resolution capabilities productivity · soft | 6 capabilities released | Feature count in the VAS suite. No pricing, attach rate, dispute-volume reduction, or cost saving disclosed. Unanchorable. Soft. | | |
Assumptions: Default incremental net margin = current 50.1% and tax rate 21% would apply IF any claim were anchorable, but none carry a Visa-$ figure. Phasing N/A. Segment mapping: fraud/VAAI/disputes -> Value-Added Services; agentic/macro -> payments volume. Current NI is positive ($20.058B) so the EPS-uplift guardrail is not binding — the binding issue is the absence of any Visa-$ figure to size. The 80-150bps GDP claim is left unsized: it is a third-party macro estimate with no disclosed Visa pass-through, so a 1:1 conversion would be invented.
Top line: No sizable top-line number is computable. The two top-line claims (80-150bps GDP; 100+ agentic partners) are a third-party macro estimate and a pre-revenue pipeline respectively — neither carries a Visa dollar volume. Agentic micro-transactions and B2B digitization are real directional tailwinds but quantified at $0 disclosed. Aggregate adopter rev uplift = null vs consensus FY26 rev growth of +13.85% ($40.0B->$45.5B), which already embeds normal volume+VAS expansion.
Bottom line: No bottom-line number is computable. '5x fraud value capture' has no disclosed base; '>$10B fraud prevented' and '60B txns scored' are client/ecosystem value, not Visa savings or revenue, and no take-rate converts them to Visa NI. Fraud/dispute claims are not counted because retained Visa economics are undisclosed. With current NI $20.058B, none of these move modeled EPS by a quantifiable amount. Consensus already assumes ~+27.9% NI / +28.9% EPS growth into FY26 (EPS $10.20->$13.15).
[impact n/m (all claims soft/unanchored)] Consensus FY26 already prices rev +13.85% ($5.54B incremental) and EPS +28.9% ($2.95) — a trajectory baking in Visa's ongoing VAS and volume growth, of which these AI features are a qualitative part. None of the AI claims provide a hard Visa-$ figure that would let the math point clearly ABOVE that consensus, so there is no demonstrable un-priced gap; the low-priced-in 'interesting case' is not established. It is the absence of anchorable upside, not evidence of priced-in upside, hence medium rather than high.
MODEL CONSENSUS (impact)
partial
Conflicts reconciled
- est_rev_uplift_pct: X=0.0115 vs Y=null -> used null because X's 1:1 GDP->Visa-revenue pass-through is an invented elasticity with no disclosed basis
- est_eps_uplift_pct: X=0.0115 vs Y=null -> used null for the same reason
- priced_in: X=high vs Y=medium -> used medium; Y better-justified (no anchorable figure to prove pricing either way)
- vs_analyst_expectations: X=inline vs Y=unclear -> used unclear since no figure is computable
- supplier_rev_uplift_pct: X=0 vs Y=null -> used 0, all claims are genuinely adopter-side
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | – | 0.0115 |
| EPS uplift % | – | 0.0115 |
| Priced in | medium | high |
| vs analysts | unclear | inline |
| Confidence | 3 | 3 |
| Top line | No sizable top-line number is computable. The two top-line claims (80-150bps GDP; 100+ agentic partners) are a third-party macro estimate and a pre-revenue pipeline respectively — neither carries a Visa dollar volume. Agentic micro-transactions and B2B digitization are real directional tailwinds but quantified at $0 disclosed. Aggregate adopter rev uplift = null vs consensus FY26 rev growth of +13.85% ($40.0B->$45.5B), which already embeds normal volume+VAS expansion. | Only the macro GDP-to-payments claim produces a hard next-FY revenue estimate: $460.0M, or 1.15% of the $40.000B revenue base. Agentic commerce partner counts are directionally positive but unmonetized. |
| Bottom line | No bottom-line number is computable. '5x fraud value capture' has no disclosed base; '>$10B fraud prevented' and '60B txns scored' are client/ecosystem value, not Visa savings or revenue, and no take-rate converts them to Visa NI. With current NI $20.058B and 1,966M shares, none of these move modeled EPS by a quantifiable amount. Consensus already assumes +27.9% NI / +28.9% EPS growth into FY26 (EPS $10.20->$13.15). | At Visa's 50.145% net margin, the $460.0M revenue uplift implies $230.667M incremental net income, or 1.15% EPS uplift versus $20.058B current net income. Fraud and dispute claims are not counted because retained Visa economics are undisclosed. |
| Reasoning | Consensus FY26 already prices rev +13.85% ($5.54B incremental) and EPS +28.9% ($2.95) — a trajectory that bakes in Visa's ongoing VAS and volume growth, of which these AI features are a qualitative part. None of the AI claims provide a hard Visa-$ figure that would let the math point clearly ABOVE that consensus, so there is no demonstrable un-priced gap (the low-priced-in 'interesting case' is not established). It is the absence of anchorable upside, not evidence of priced-in upside, hence medium rather than high. | FY2026 consensus revenue of $45.541B implies +$5.541B, or +13.852%, versus the $40.000B base. Consensus EPS of $13.14578 implies +$2.94578, or +28.880%, versus $10.20. The quantified AI uplift of $460.0M revenue and about $0.117 EPS is only 8.30% of the consensus revenue increase and 3.98% of the consensus EPS increase, so the quantified claim appears well inside the existing consensus trajectory. |
Rows highlighted where the two models disagreed.
QUANTIFICATIONS
AI-driven fraud value capture: up to a 5x increase (Early results, bottomline)
“Early results have shown that it can power up to a 5x increase in fraud value capture.”
AI macro impact flowing to digital payments transactions: 80 to 150 basis points of incremental GDP growth (forward-looking estimate, topline)
“Third parties estimate we are looking at a boost of 80 to 150 basis points of incremental GDP growth from AI and when GDP grows, spending grows and digital payments transactions grow.”
Visa Account Attack Intelligence transaction scoring: over 60 billion transactions scored and nearly 600 million suspicious transactions identified (last twelve months, bottomline)
“The results of this solution in the US have been impressive, with over 60 billion transactions scored and nearly 600 million suspicious transactions identified in the last twelve months.”
Visa Account Attack Intelligence client activation and fraud prevention: almost 90% of clients already activated and have prevented more than $10 billion of fraud (just six months, bottomline)
“In LAC, for example, in just six months, have almost 90% of clients already activated and have prevented more than $10 billion of fraud.”
Agentic commerce ecosystem activity: more than 100 partners; Over 30 partners (Q1 FY2026, topline)
“We're working to enable AgenTik Commerce with more than 100 partners across the commerce ecosystem globally. Over 30 partners are actively building in our sandbox, with multiple agents and agent enablers running live production transactions and more partners expected in the future.”
AI-enabled dispute resolution capabilities: 6 dispute resolution capabilities (Q2 FY2026, bottomline)
“Our team has been integrating new AI-enabled features across our suite of VAS solutions, including the recent release of 6 dispute resolution capabilities.”
PAST (realized)
- The results of this solution in the US have been impressive, with over 60 billion transactions scored and nearly 600 million suspicious transactions identified in the last twelve months.
- In LAC, for example, in just six months, have almost 90% of clients already activated and have prevented more than $10 billion of fraud.
- Over 30 partners are actively building in our sandbox, with multiple agents and agent enablers running live production transactions and more partners expected in the future.
- Early results have shown that it can power up to a 5x increase in fraud value capture.
CURRENT (now)
- Now while it's early, we are seeing growth in agentic shopping and the emergence of early agentic commerce, real transactions with Visa agentic tokens.
- Our new Visa Large Transaction Model is beginning to act as the foundational model for a variety of AI-powered fraud and risk services at Visa.
- Our team has been integrating new AI-enabled features across our suite of VAS solutions, including the recent release of 6 dispute resolution capabilities.
- In fact, across all of our services, client adoption has been the fastest among AI embedded services such as Smarter Stand-In Processing and Visa Provisioning Intelligence.
- We're working to enable AgenTik Commerce with more than 100 partners across the commerce ecosystem globally.
FORWARD (guidance)
- AI and agentic commerce will expand our addressable market, and our efforts will accelerate Visa's long-term growth.
- Second, agents will create significantly more transactions.
- Agents will intelligently split purchases across multiple transactions, optimizing price, timing and value to the buyer.
- And importantly, in some use cases, we expect agents will pay for their own data and resource consumption transaction by transaction and event by event, which creates an entirely new category of commerce with micro transactions.
- Third, we will see accelerated digitization of B2B payments, where there is still enormous friction that AI agents can help remove.
- They will be able to automate payment initiation directly from invoices and contracts and manage approvals autonomously.
- We expect more transactions, more value-added services and therefore, more revenue in the years ahead from agentic.
TRACK RECORD — PROMISE vs DELIVERY
58/100 track record mixed 6 calls reviewed
Visa makes relatively few hard number-plus-date AI promises; its biggest one — agentic-commerce general availability 'later this year' — was clearly delivered on schedule, but quantified fraud-AI targets like '10 RTP networks in 2025' and the Authorize.net AI-agent launch quietly faded without confirmation, yielding a mixed but generally credible track record.
Visa Protect for A2A (AI-based fraud detection) to expand to 10 new RTP networks in 2025 — promised Q1 FY2025
quietly-dropped Later calls only cite a Brazil Pix pilot (scored ~$500B, found $90M fraud) and expansion to a couple more countries with 'half a dozen more planned'; the specific 10-RTP-networks-in-2025 target was never confirmed as hit.
New Authorize.net with embedded AI agent ('A-Net') to launch in the US next quarter and additional countries next year — promised Q2 FY2025
quietly-dropped No subsequent call confirmed the A-Net AI-agent launch or any adoption metrics; the milestone was dropped from the narrative.
Visa Intelligent Commerce (AI/agentic commerce) to reach general availability 'later this year' (2025) after 30+ sandbox partners and a live pilot — promised Q3 FY2025
delivered Q4 FY2025 reported live agentic transactions and a merchant agent toolkit, and Q1 FY2026 reported 100+ partners with live production transactions, supporting delivery of the 2025 pilot/live milestone.
Visa Intelligent Commerce powering live agentic transactions with a released merchant agent toolkit — promised Q4 FY2025
delivered Q1 FY2026 reported 100+ partners, 30+ actively building, live production transactions and AWS marketplace availability, confirming continued execution.
Over half of the new next-generation VisaNet code base built with generative AI, with additional modules/markets planned — promised Q4 FY2025
too-early Subsequent calls did not yet provide measurable rollout completion for the additional modules and markets.
Visa Intelligent Commerce agentic pilots to go live in Asia Pacific and Europe, with LAC token enrollment to follow — promised Q1 FY2026
too-early Q2 FY2026 reports continued agentic growth and 'real transactions with Visa agentic tokens,' but the regional GA milestones are not yet judgeable.
PRICED-IN (REFINED)
HIGH (already in)Est. revisions rising · Fwd P/E 27.7 · EV/Sales 14.4x
AI claim maps to Data Processing Revenues, Service, Service, Other
Estimate signals are rising: ratings improved versus early 2026 with fewer holds, recent price targets are above quarterly and yearly averages, and consensus revenue/EPS growth is already strong across forward fiscal years. Valuation is rich at 27.7x forward earnings and 14.4x EV/sales for a mature payments network, so rising estimates make the AI upside more priced-in, not less. AI-driven fraud, authorization, and value-added-services benefits would most plausibly flow through Data Processing Revenues, Service, and Service, Other, but the market already appears to be paying for that upside.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
2Q1 FY20252Q2 FY20258Q3 FY20259Q4 FY20259Q1 FY202610Q2 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
AI moved from absent to a central growth thesis around agentic commerce, tokens, fraud, developer tools, partners, and transaction expansion.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
8/10 qualitative impact material medium-term · mixed evidence
Where AI matters: agentic payments, fraud/risk VAS, authorization and dispute workflows
AI is becoming material to Visa's own payments network through agentic-commerce tokens, fraud scoring, smarter authorization, and VAS attach, with live transactions and large-scale fraud metrics supporting real deployment. The upside is still mostly unanchored to Visa dollars, so this is material rather than proven transformational today.
Caveats: No disclosed Visa revenue or EPS uplift from AI features; Agentic commerce may scale slowly or produce low-value microtransactions; AI-driven fraud arms race raises operating and ecosystem risk; Agents may optimize payment choice toward lower-cost non-card rails
AI DISRUPTION / CANNIBALIZATION RISK two-sided · 3/10
AI agents could reduce consumer payment-brand control and route transactions toward cheaper rails, pressuring card-network economics at the margin. Visa's trust, tokenization, dispute protection, acceptance, and multi-rail positioning make the core model durable rather than structurally deflated.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $2.3B · beta 0.784 · px $317.32
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Undercutting — insiders selling, institutions flat, management language 6/10 measured.
INSIDERS selling 8 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) flat as of 2026-03-31: 200 new / 364 closed positions; 2125 increased / 1859 reduced; institutional ownership +0.18pp; -155 net 13F holders
MGMT LANGUAGE 6/10 measured Substantial AI discussion with owned launches and expectations, but revenue impact remains forward-looking and repeatedly qualified as early or positioned.
commit “we are seeing growth in agentic shopping and the emergence of early agentic commerce, real transactions with Visa agentic tokens.”
commit “we plan to enable CLI commerce at scale”
commit “We expect more transactions, more value-added services and therefore, more revenue in the years ahead from agentic.”
VERBATIM AI QUOTES
“AI and agentic commerce will expand our addressable market, and our efforts will accelerate Visa's long-term growth.”
— Ryan McInerney, Q2 FY2026
“These services have durable competitive advantages as the vast majority are linked to transactions, cards and accounts, and they are only strengthened with AI, reinforcing their importance as a growth lever for years to come.”
— Ryan McInerney, Q2 FY2026
“We believe AI and agentic commerce will expand our addressable market in 4 important ways.”
— Ryan McInerney, Q2 FY2026
“Second, agents will create significantly more transactions.”
— Ryan McInerney, Q2 FY2026
“Agents will intelligently split purchases across multiple transactions, optimizing price, timing and value to the buyer.”
— Ryan McInerney, Q2 FY2026
“And importantly, in some use cases, we expect agents will pay for their own data and resource consumption transaction by transaction and event by event, which creates an entirely new category of commerce with micro transactions.”
— Ryan McInerney, Q2 FY2026
“Third, we will see accelerated digitization of B2B payments, where there is still enormous friction that AI agents can help remove.”
— Ryan McInerney, Q2 FY2026
“They will be able to automate payment initiation directly from invoices and contracts and manage approvals autonomously.”
— Ryan McInerney, Q2 FY2026
“Third parties estimate we are looking at a boost of 80 to 150 basis points of incremental GDP growth from AI and when GDP grows, spending grows and digital payments transactions grow.”
— Ryan McInerney, Q2 FY2026
“Now while it's early, we are seeing growth in agentic shopping and the emergence of early agentic commerce, real transactions with Visa agentic tokens.”
— Ryan McInerney, Q2 FY2026
“Our new Visa Large Transaction Model is beginning to act as the foundational model for a variety of AI-powered fraud and risk services at Visa.”
— Ryan McInerney, Q2 FY2026
“Early results have shown that it can power up to a 5x increase in fraud value capture.”
— Ryan McInerney, Q2 FY2026
“Our team has been integrating new AI-enabled features across our suite of VAS solutions, including the recent release of 6 dispute resolution capabilities.”
— Ryan McInerney, Q2 FY2026
“In fact, across all of our services, client adoption has been the fastest among AI embedded services such as Smarter Stand-In Processing and Visa Provisioning Intelligence.”
— Ryan McInerney, Q2 FY2026
“One of those that is enabled with Visa tokens is an important area of innovation, AgenTik Commerce.”
— Ryan McInerney, Q1 FY2026
“Our Visa Intelligent Commerce solution utilizes tokens and their configurability as the core underlying foundation for AgenTik payments.”
— Ryan McInerney, Q1 FY2026
“We're working to enable AgenTik Commerce with more than 100 partners across the commerce ecosystem globally.”
— Ryan McInerney, Q1 FY2026
“Over 30 partners are actively building in our sandbox, with multiple agents and agent enablers running live production transactions and more partners expected in the future.”
— Ryan McInerney, Q1 FY2026
“We believe that we are well positioned to be the infrastructure provider and key enabler in AgenTik Commerce, so that every agent interaction is trusted and secure.”
— Ryan McInerney, Q1 FY2026
“As you know, we closed on our acquisition of FeatureSpace just over a year ago, and we have continued to invest in this platform to provide a holistic AI-driven solution for our clients, before, during, and after a transaction.”
— Ryan McInerney, Q1 FY2026
“The results of this solution in the US have been impressive, with over 60 billion transactions scored and nearly 600 million suspicious transactions identified in the last twelve months.”
— Ryan McInerney, Q1 FY2026
“In LAC, for example, in just six months, have almost 90% of clients already activated and have prevented more than $10 billion of fraud.”
— Ryan McInerney, Q1 FY2026
ANALYST QUESTIONS ON AI
Q (Q2 FY2026, Craig Maurer): I wanted to ask about the agentic commerce discussion earlier in the call. We've seen American Express step out there and take on the risk of a fraudulent agent transaction with -- and so I'm curious about are you -- how can you achieve something similar with a 4-party network versus a 3-party network, when it seems that issuers are going to have to buy in to whatever rule-making you decide on? Or are they going to be left to decide how they're going to deal with that risk? So any discussion there would be helpful.
A: If a Visa cardholder experiences fraud, they're going to be protected. That's been part of the promise for Visa cardholders for a very, very long time. I would add to that, in agentic commerce, we're going to have more transactions that are initiated from authenticated tokens, which is good. Will further reduce fraud, will further protect the ecosystem. And the other benefit of agentic commerce is issuers and merchants are going to have more data on transactions.
Q (Q2 FY2026, James Faucette): I wanted to follow up on the agentic topic and specifically in the area of agent-to-agent transactions. I realize that a lot of these are very small and micro transactions. But wondering if you can talk about some of the capabilities of Visa and the Visa networks that you can deliver in those kinds of environments, and whether that be beyond just the transaction but providing trust, et cetera. And how we should think about the potential for that to be accretive or additive to the volumes that you do?
A: I think the limiting factor for agentic commerce is trust. I think when we all think about ourselves as buyers and we all think about ourselves having agents go out and transact on our behalf, we are going to fall back on payment methods that we, as users, trust.
Q (Q2 FY2026, Darrin Peller): Have you seen a step function in demand for your fraud protecting services? We've heard about a lot more fraud instances given AI and bots and others being used. I'm just curious if you're seeing that directly impact you guys in terms of demand for the products?
A: And the short answer is yes. We've really -- we've seen more demand across the board for our fraud products.