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MA · Mastercard Incorporated

Financial - Credit Services · mkt cap $425.4B · calls: Q1 FY2026 vs Q4 FY2025
64.0 conviction

enthusiasm:32.0 · trend:8 · quantifies:12 · impact:0 · under_radar:0 · credibility:12 · commitment:0 · confirmation:0

Enthusiasm latest 8 / prev 7 (rising)

Mastercard’s AI thesis is network-data flywheel plus trust-layer products: agentic commerce (Agent Pay, verifiable intent, OpenAI/Google/Microsoft ecosystem), generative models on proprietary data (NVIDIA, March 2026), and AI-accelerated cyber (Recorded Future / Threat Intelligence, autonomous threat ops). Enthusiasm rose from Q4 to Q1 with more product launches and standards work, but management is explicit that agentic payment volumes are still early. Credibility is stronger on security/adoption metrics (500+ Threat Intelligence customers) and VAS growth than on quantified AI-specific revenue; the new gen-AI model has no financial KPIs yet.

GROUNDED IMPACT vs CONSENSUS

Grounded on actual base — revenue $32.8B · net income $15.0B · net margin 45.6% · diluted EPS 16.52

Aggregate est. rev uplift: 0.0% · EPS uplift: 0.0% · vs analysts: inline · priced in: high · confidence: 3/10

ClaimFigureArithmeticRev %EPS %
Threat Intelligence >500 customer engagements
engagement · soft		>500 customersCount only; no $/ARPU/bookings disclosed. Illustrative only (not in aggregate): 500×$150k=$75M → $75M/$32,791M=0.23% rev; @50% incr margin (security SaaS) → $37.5M/$14,968M NI=0.25% EPS — ARPU invented.
Malicious-domain takedowns (>10k e-commerce sites)
other · soft		>10,000 e-commerce sites impactedEcosystem/operational outcome; no revenue, savings, or volume $ in call → cannot divide into $32,791M rev or $14,968M NI.
Ethoca products ~25% YoY
revenue · soft		~25% YoY (Q1 FY2026 quarter)Product-line growth rate; Ethoca $ base not disclosed. Illustrative only: assume Ethoca ~$700M (~2.1% of $32,791M rev) → +25%=$175M → $175M/$32,791M=0.53% rev; @50% incr margin → $87.5M/$14,968M=0.58% EPS — base invented, not summed.
Consulting/marketing repeat usage
engagement · soft		~75% of 2024 customers returned; usage >20% YoYRetention/usage rates without consulting revenue $ or attach rate; mapping to rev requires invented segment size → no defensible $/rev or EPS %.
Digital-commerce approval rates +270 bps (5 years)
other · soft		270 basis points over 5 years (~54 bps/yr)Issuer/acquirer client outcome metric, not MA revenue/EPS; converting to MA fees requires undisclosed digital-commerce GDV and pass-through of approval lift to MA net revenue → no $ claim.
VAS net revenue growth 18% / 22% / 21%
revenue		18% (Q1 FY2026); 22% Q4; 21% FY2025Segment growth rate (historical/run-rate). Assume FY2025 VAS=$12.0B (36.6%×$32,791M). 21% VAS growth ⇒ +$2.52B segment ($2.52B/$32,791M=7.68% of company rev if core flat). FY2026 consensus $37,082M = +13.09% total ($4.291B) ⇒ implied non-VAS growth = ($37,082M−$14,520M)/$20,791M−1=8.52% — VAS 21% + core ~8.5% matches consensus; AI-attributable NEXT-FY incremental = $0 → 0% rev & 0% EPS vs base (not additive to consensus).00
Agentic payment volumes
other · soft		early stage (no volume disclosed)Mgmt: volumes still early stage; no $, bps, or transaction count → null per guardrail (no invented volume).
Generative AI foundation model business impact
other · soft		none disclosed (early-stage)No revenue, margin, or cost impact quantified (March 2026 announcement) → null.

Assumptions: Next fiscal year = FY2026 (year ending 2026-12-31). LTM base: rev $32,791M, NI $14,968M, net margin 45.65%, EPS $16.52. Incremental margin default 45.65% for company-level flows; 50% illustrative only for security/software sub-claims (Ethoca, Threat Intel) — not used in aggregate. Tax rate 21% unused (no cost-save claims). VAS sizing: FY2025 VAS net revenue assumed $12.0B (~36.6% of total) to bridge 21% segment growth vs consensus — not an AI booking. No phasing of $ flows (no multi-year $ targets disclosed). Forward AI statements excluded from math (unquantified).

Top line: Seven of eight quantified items are engagement, ecosystem, or client-outcome metrics with no $ revenue. The one segment hard rate — VAS +21% on ~$12.0B — contributes ~$2.52B of the ~$4.29B needed for consensus FY2026 rev (+13.09%), but that is run-rate/consensus-consistent, not incremental AI upside; aggregate next-FY rev uplift attributable to disclosed quantified claims ≈0%.

Bottom line: No opex/FTE/productivity $ saves disclosed. Illustrative Ethoca (+$175M at assumed $700M base) or Threat Intel (+$75M at assumed ARPU) would be <0.6% EPS each and are soft/invented bases — excluded from aggregate. Hard aggregate EPS uplift ≈0% vs LTM NI $14,968M.

Disclosed quantified AI/security claims imply ~0% incremental FY2026 uplift above LTM. Consensus already models much larger moves: FY2025 actual rev $32,791M / EPS $16.52 / NI $14,968M → FY2026 rev $37,082M (+$4,291M, +13.09%), EPS $19.68 (+19.1%), NI $17,588M (+17.5%); FY2027 rev $41,754M (+12.6% vs 2026), EPS $22.80 (+15.9%). VAS growing 21% on ~$12B (~$2.52B) plus ~8.5% core growth reconciles to the +13% rev path — security/AI narrative is embedded, not a gap vs +19% EPS consensus. Agentic/gen-AI forward statements carry no $ to beat those estimates.

QUANTIFICATIONS
Mastercard Threat Intelligence customer engagements: more than 500 customers (short period since launch (Q1 FY2026 call), topline)
“In a short period of time, more than 500 customers are already engaged using the product”
Malicious-domain takedown impact (Threat Intelligence ecosystem): over 10,000 e-commerce sites (Q1 FY2026 period referenced, topline)
“partners have taken down malicious domains responsible for the payment card -- impacting over 10,000 e-commerce sites”
Ethoca dispute-resolution product growth: around 25% year-over-year (last quarter (Q1 FY2026), topline)
“Collectively, Ethoca products grew around 25% year-over-year last quarter”
Consulting/marketing services repeat usage: Nearly 3/4 of customers returned; usage up more than 20% YoY (2024 customers into 2025, topline)
“Nearly 3/4 of our customers from 2024 returned to use these services again last year and increased their usage by more than 20% year-over-year”
Digital-commerce approval-rate improvement (analytics/AI portfolio tools): 270 basis points (last five years, topline)
“In looking at digital commerce alone, we've seen approval rates increase by 270 basis points in the last five years.”
Value-Added Services net revenue growth: 18% (Q1 FY2026); 22% Q4 / 21% full-year 2025 (Q1 FY2026 and Q4/full-year FY2025, topline)
“Value-Added Services & Solutions net revenue increased 18%”
Agentic payment volumes: early stage (no volume disclosed) (current, topline)
“In terms of where volumes are, we're still at early stage.”
Generative AI foundation model business impact: none disclosed (early-stage (March 2026 announcement), topline)
“This early-stage work is very exciting.”
PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

88/100 track record   delivers  7 calls reviewed

Mastercard rarely makes quantified, dated AI commitments on earnings calls; the main judgeable ones are Agent Pay rollout timelines and Commerce Media day-1 scale, which they met or nearly met. Substantive AI claims are usually backward-looking metrics (fraud lift, product mix) rather than forward guidance, so the credibility sample is thin but favorable.

Commerce Media: 500M permissioned consumers and 25,000 merchant advertisers at day-1 launch — promised Q3 FY2025
delivered Announced at launch with those day-1 scale metrics; later calls did not dispute or walk back the platform, though they stopped repeating the 500M/25K figures.
Agent Pay: enable remaining US issuers by November 2025 — promised Q3 FY2025
delivered Q4 FY2025 said US issuers were enabled to participate; Q1 FY2026 said nearly all Mastercard cards globally are Agent Pay–enabled.
Agent Pay: global issuer rollout by early 2026 — promised Q3 FY2025
delivered Q4 FY2025 narrowed this to global issuer enablement by end of Q1 FY2026; Q1 FY2026 reported near-universal global card enablement.
Agent Pay: enable global issuer base by end of Q1 FY2026 — promised Q4 FY2025
delivered Q1 FY2026 stated nearly all Mastercards worldwide are now enabled for Agent Pay, consistent with the stated deadline.
2030 plan to end manual card/password online checkout in favor of biometrics/tokenized flows — promised Q4 FY2024
too-early Still far from 2030; Q2 FY2025 cited >50% EU e-commerce tokenized and 4x Click-to-Pay merchant growth in H1 2025, and Q4 FY2025 cited ~40% of transactions tokenized—progress but no numeric 2030 KPI to judge.
AI-powered fraud scoring: detect >40% more fraud vs prior-year Q1 — promised Q1 FY2025
delivered Reported as achieved in Q1 FY2025, not as a forward target pledged in an earlier call in this transcript set.
PRICED-IN (REFINED)
HIGH (already in)

Est. revisions rising  ·  Fwd P/E 29.2  ·  EV/Sales 12.9x

AI claim maps to Value-Added Services And Solutions, Payment Network

Analyst sentiment has migrated up (holds fell from 10 to 3 over six months while strongBuy+buy rose to 36) and forward consensus embeds fast growth (FY26–FY27 EPS +19%/+16% on revenue +13%/+13%), so AI-linked efficiency and services upside is already flowing into estimates. Valuation is rich for a mature network (fwd P/E ~29x, EV/Sales ~12.9x, P/B ~64x, fwd PEG ~1.7), which is consistent with the market paying a premium before prints. AI claims (fraud, analytics, issuer/acquirer tools) map mainly to Value-Added Services And Solutions and secondarily Payment Network—both already growing double digits in reported mix—so rising revisions plus stretched multiples support a high priced-in verdict.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
3Q4 FY20247Q1 FY20257Q2 FY20258Q3 FY20258Q4 FY20259Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

Sparse analytics-only talk became Agent Pay and agentic commerce, then explicit AI on approvals, verifiable intent, and network-wide enablement.

RECENT AI CATALYSTS & NEWS
OPTIONS / MARKET STRUCTURE

option liquidity: good

ATM IV
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TYPICAL BID-ASK
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OPEN INTEREST
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proxy inputs — dollar-ADV $1.7B · beta 0.759 · px $482.10

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 trimming, management language 6/10 measured.
INSIDERS selling 23 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) trimming as of 2026-03-31: 180 new / 318 closed positions; 1559 increased / 1567 reduced; institutional ownership -10.59pp; -131 net 13F holders
MGMT LANGUAGE 6/10 measured AI/agentic talk mixes Q1 launches and global Agent Pay enablement with traction-conditional and over-time opportunity framing.
commit “nearly all Mastercards around the world are now enabled for Mastercard Agent pay.”
commit “In quarter 1, we launched verifiable intent, a tamper-resistant record of what a user authorized when an AI agent acts on their behalf.”
commit “In March, we announced a new foundational generative AI model, leveraging capabilities from NVIDIA.”
VERBATIM AI QUOTES
“Fourth, our differentiated value-added services and solutions, powered by data from our networks and AI, we have curated unique services that make the network secure, drive more payments and help our customers make smarter decisions.”
— Michael Miebach, Q1 FY2026
“On agentic, the ecosystem continues to evolve. Our payment solutions are ready and we are engaged shaping what comes next with key players, including Google, Microsoft, OpenAI and other partners across the ecosystem.”
— Michael Miebach, Q1 FY2026
“We're deepening our partnership with OpenAI, reinforcing their use of Mastercard Agent Pay, working to enable agent-to-agent payments and collaborating to embed our services across their solutions while using their tools as an enterprise customer.”
— Michael Miebach, Q1 FY2026
“I'm also happy to share that nearly all Mastercards around the world are now enabled for Mastercard Agent pay.”
— Michael Miebach, Q1 FY2026
“In quarter 1, we launched verifiable intent, a tamper-resistant record of what a user authorized when an AI agent acts on their behalf.”
— Michael Miebach, Q1 FY2026
“In fact, the FIDO Alliance is now using it as a foundation for setting security standards in this space.”
— Michael Miebach, Q1 FY2026
“That scale and quality of our data power smarter insights, stronger for tools and better outcomes for customers, especially in an AI-driven world.”
— Michael Miebach, Q1 FY2026
“In March, we announced a new foundational generative AI model, leveraging capabilities from NVIDIA. Trained on our vast data sets that will help anticipate behaviors being the scope of traditional models, spotting unusual activity, predicting where a cardholder may spend next and signaling shifts in consumer behavior.”
— Michael Miebach, Q1 FY2026
“These insights can then be embedded across our products or power new use cases.”
— Michael Miebach, Q1 FY2026
“This early-stage work is very exciting.”
— Michael Miebach, Q1 FY2026
“In a short period of time, more than 500 customers are already engaged using the product, partners have taken down malicious domains responsible for the payment card -- impacting over 10,000 e-commerce sites.”
— Michael Miebach, Q1 FY2026
“And every one of these calls, we talk about wins and losses and shifts. So if you just think about what I said earlier, Aeromexico, United Airlines, Canada, for travel agency wins. So there is a lot going on in the space. We've historically been focused and continue to see it as a strength and we'll lean in on that, but not always at all prices. Good. So on the safety security piece and Recorded Future, and the rising stakes in the world in an AI-powered world, that's absolutely true.”
— Michael Miebach, Q1 FY2026
“And then AI has been around for some time now. 2023 was really where it started to really accelerate.”
— Michael Miebach, Q1 FY2026
“So bought Recorded Future in 2024, that was already with a perspective on, we got to look at broader threat vectors because companies -- our customers in our space, in the payment space, for them, it's very hard to defend.”
— Michael Miebach, Q1 FY2026
“I mentioned Mastercard Threat Intelligence earlier, but there's others malware intelligence, autonomous threat operations, et cetera.”
— Michael Miebach, Q1 FY2026
“And we do expect that Security Solutions is going to be a continued significant growth driver for us.”
— Michael Miebach, Q1 FY2026
“So on agentic so this all kind of really got into motion in April last year, just about a year ago.”
— Michael Miebach, Q1 FY2026
“This is when Google and others, Microsoft started to put out protocols that are commerce-oriented protocols. So that was a push for those players, LLM players, people getting in seeing a tremendous opportunity for them.”
— Michael Miebach, Q1 FY2026
“In terms of where volumes are, we're still at early stage.”
— Michael Miebach, Q1 FY2026
“So the significance of verifiable intent cannot be underestimated.”
— Michael Miebach, Q1 FY2026
“We worked on this together with Google. That is now a standard.”
— Michael Miebach, Q1 FY2026
“And then I haven't even started to talk about agents in the B2B space. So you heard us talk about Agent Suite, which we started to launch where we're going to get into the business of building agents with our customers in the B2B space, et cetera.”
— Michael Miebach, Q1 FY2026
“So early stage on B2B earlier than on the consumer side, but I would think this is a much bigger opportunity and it fits right into our focus on commercial payments.”
— Michael Miebach, Q1 FY2026
“We work with our existing customers to optimize their portfolios by using our advanced analytics and AI capabilities.”
— Michael Miebach, Q4 FY2025
“In looking at digital commerce alone, we've seen approval rates increase by 270 basis points in the last five years.”
— Michael Miebach, Q4 FY2025
“Stablecoins and agenetic commerce are emerging opportunities, ones where Mastercard has a natural role to play.”
— Michael Miebach, Q4 FY2025
“Moving on to Agenci Commerce. Where AI-powered agents assist or act on behalf of consumers throughout their commerce journeys.”
— Michael Miebach, Q4 FY2025
“You remember, last year, we launched Mastercard AgentPay, a framework designed to foster trust in agentic transactions.”
— Michael Miebach, Q4 FY2025
“We have now enabled our US issuers to participate in agent pay. And we are working to enable our global issuer base by the end of the first quarter.”
— Michael Miebach, Q4 FY2025
“Mastercard's proprietary data and AI capabilities combined with our payment network reach provide us a real competitive advantage.”
— Michael Miebach, Q4 FY2025
“We're adding to that innovation. Now with the launch of Mastercard Credit Intelligence, By using Mastercard's proprietary network data, identity, and open finance capabilities, we can deliver faster credit assessments.”
— Michael Miebach, Q4 FY2025
“live in market and seeing adoption across a variety of customer types.”
— Michael Miebach, Q4 FY2025
“In addition, we've launched Mastercard Agent Suite, evolving our consulting practice from AI strategy to now include asset-led engagements. You will design and deploy AI agents within customer environments to drive operational excellence, and enhance end customer experience.”
— Michael Miebach, Q4 FY2025
“Thank you, Harshita. This is a this is a great question. What what an exciting space. It might be one of those use cases, AI-driven use cases that meet our reality much faster than other AI use cases out. So I think AgenTeCommerce is gonna come, is gonna come fast.”
— Michael Miebach, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Tien-Tsin Huang (JPMorgan)): Just wanted to ask on the agentic side if that's okay in Mastercard Agent Pay, Michael, you talked about some of the partners and some activity on the ground. But can you just give us a little bit more detail on volumes or any surprises with respect to actual activity or actual demand. And I'm curious if you were to maybe talk about it in the context of who's pushing the hardest across all the players in the 4-party model. What are you listening to for clues on how to invest harder, et cetera?
A: Michael Miebach: Agentic got into motion ~April 2025 with Agent Pay and commerce protocols from Google/Microsoft and LLM players; Mastercard pushes equally hard on facilitating transactions via tokenization. Volumes are still early stage; verifiable intent (worked with Google, now a standard) is critical before scale. Upside is new consumer use cases, more transaction and services opportunity (e.g., Tokens and Elite). B2B Agent Suite—building agents with customers—is earlier than consumer but likely a much bigger opportunity aligned with commercial payments. Investment urgency is on trust, standards, and ecosystem readiness, not near-term volume.
Q (Q1 FY2026, Darrin Peller (Wolfe Research)): Michael, I want to ask about Mastercard Threat Intelligence more broadly, we're all hearing about instances of fraud picking up around AI on payments. Are you seeing that inflection in demand really pick up pace for your value-added services and offerings around cyber and fraud.
A: Michael Miebach: In an AI-powered world, rising fraud/cyber stakes are real and rising (not new). Recorded Future (2024) broadened threat vectors beyond payment fraud; combined with Mastercard data in Threat Intelligence. Significant demand continues since Dec 2024 close; also malware intelligence and autonomous threat operations. Expects Security Solutions to remain a significant growth driver.
Q (Q4 FY2025, Harshita Rawat (Bernstein)): I wanna on your recent announcements in AgenTek, including the suite you just announced. It's early in this era. Lots of experimentation happening. But maybe help us frame the different pieces of the capabilities here. You have the identity trust layer, not the platform for custom AI agents. But there's so much fragmentation competing protocols. I you're partnering with Google and OpenAI. Among others. So how does that frame this and talk about why you believe you'll see Mastercard not only growing, but in a genetic era, but also thriving with respect to the trust, governance, personalization, and other services you can provide.
A: Michael Miebach (transcript truncated): Agentic commerce is among the fastest AI-driven use cases to reach reality; it will come fast. Consumers using agents for better commerce journeys resonates—better insights and recommendations (answer cuts off in provided transcript).