Mastercard (MA)
Market Price (12/25/2025): $580.0 | Market Cap: $526.6 BilSector: Financials | Industry: Transaction & Payment Processing Services
Mastercard (MA)
Market Price (12/25/2025): $580.0Market Cap: $526.6 BilSector: FinancialsIndustry: Transaction & Payment Processing Services
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Attractive operating marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 58% | Trading close to highsDist 52W High is -3.1%, Dist 3Y High is -3.1% | Expensive valuation multiplesP/SPrice/Sales ratio is 17x, P/EBITPrice/EBIT or Price/(Operating Income) ratio is 31x, P/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 31x, P/EPrice/Earnings or Price/(Net Income) is 39x |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 56%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 52%, CFO LTM is 17 Bil, FCF LTM is 16 Bil | Weak multi-year price returns2Y Excs Rtn is -7.8%, 3Y Excs Rtn is -8.8% | Key risksMA key risks include [1] global legal and regulatory challenges targeting its core interchange fee model and [2] potential disintermediation by emerging payment technologies like digital wallets and real-time payment rails. |
| Low stock price volatilityVol 12M is 23% | ||
| Megatrend and thematic driversMegatrends include Fintech & Digital Payments, E-commerce & Digital Retail, AI in Financial Services, Cybersecurity, Show more. |
| Attractive operating marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 58% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 56%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 52%, CFO LTM is 17 Bil, FCF LTM is 16 Bil |
| Low stock price volatilityVol 12M is 23% |
| Megatrend and thematic driversMegatrends include Fintech & Digital Payments, E-commerce & Digital Retail, AI in Financial Services, Cybersecurity, Show more. |
| Trading close to highsDist 52W High is -3.1%, Dist 3Y High is -3.1% |
| Weak multi-year price returns2Y Excs Rtn is -7.8%, 3Y Excs Rtn is -8.8% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 17x, P/EBITPrice/EBIT or Price/(Operating Income) ratio is 31x, P/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 31x, P/EPrice/Earnings or Price/(Net Income) is 39x |
| Key risksMA key risks include [1] global legal and regulatory challenges targeting its core interchange fee model and [2] potential disintermediation by emerging payment technologies like digital wallets and real-time payment rails. |
Why The Stock Moved
Qualitative Assessment
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Here are five key points explaining Mastercard's (MA) stock movement from approximately late August 2025 to December 25, 2025: 1. Valuation ConcernsMastercard's stock traded at a premium or demanding valuation throughout 2025, with a price-to-earnings ratio near 34x projected 2025 earnings in March and around 32x forward earnings in October. This elevated valuation could have made the stock susceptible to corrections or limited further upside, contributing to a downward adjustment. 2. Regulatory Scrutiny
Ongoing regulatory pressures, including the proposed Credit Card Competition Act, posed a threat to Mastercard's revenue model by aiming to reduce merchant fees and increase competition within the payments sector. Such regulatory risks create uncertainty and can negatively impact investor sentiment over time. Show more
Stock Movement Drivers
Fundamental Drivers
The 2.0% change in MA stock from 9/24/2025 to 12/24/2025 was primarily driven by a 2.0% change in the company's P/E Multiple.| 9242025 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 568.06 | 579.45 | 2.01% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 30241.00 | 30241.00 | 0.00% |
| Net Income Margin (%) | 44.93% | 44.93% | 0.00% |
| P/E Multiple | 37.97 | 38.73 | 2.01% |
| Shares Outstanding (Mil) | 908.00 | 908.00 | 0.00% |
| Cumulative Contribution | 2.01% |
Market Drivers
9/24/2025 to 12/24/2025| Return | Correlation | |
|---|---|---|
| MA | 2.0% | |
| Market (SPY) | 4.4% | 29.3% |
| Sector (XLF) | 4.0% | 71.0% |
Fundamental Drivers
The 5.7% change in MA stock from 6/25/2025 to 12/24/2025 was primarily driven by a 4.0% change in the company's Total Revenues ($ Mil).| 6252025 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 548.23 | 579.45 | 5.69% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 29069.00 | 30241.00 | 4.03% |
| Net Income Margin (%) | 45.21% | 44.93% | -0.64% |
| P/E Multiple | 38.04 | 38.73 | 1.80% |
| Shares Outstanding (Mil) | 912.00 | 908.00 | 0.44% |
| Cumulative Contribution | 5.69% |
Market Drivers
6/25/2025 to 12/24/2025| Return | Correlation | |
|---|---|---|
| MA | 5.7% | |
| Market (SPY) | 14.0% | 35.1% |
| Sector (XLF) | 8.8% | 68.9% |
Fundamental Drivers
The 8.8% change in MA stock from 12/24/2024 to 12/24/2025 was primarily driven by a 11.1% change in the company's Total Revenues ($ Mil).| 12242024 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 532.65 | 579.45 | 8.79% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 27226.00 | 30241.00 | 11.07% |
| Net Income Margin (%) | 45.26% | 44.93% | -0.74% |
| P/E Multiple | 39.90 | 38.73 | -2.93% |
| Shares Outstanding (Mil) | 923.00 | 908.00 | 1.63% |
| Cumulative Contribution | 8.76% |
Market Drivers
12/24/2024 to 12/24/2025| Return | Correlation | |
|---|---|---|
| MA | 8.8% | |
| Market (SPY) | 15.8% | 64.5% |
| Sector (XLF) | 14.9% | 81.2% |
Fundamental Drivers
The 71.6% change in MA stock from 12/25/2022 to 12/24/2025 was primarily driven by a 39.8% change in the company's Total Revenues ($ Mil).| 12252022 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 337.61 | 579.45 | 71.63% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 21636.00 | 30241.00 | 39.77% |
| Net Income Margin (%) | 45.22% | 44.93% | -0.65% |
| P/E Multiple | 33.30 | 38.73 | 16.30% |
| Shares Outstanding (Mil) | 965.00 | 908.00 | 5.91% |
| Cumulative Contribution | 71.03% |
Market Drivers
12/25/2023 to 12/24/2025| Return | Correlation | |
|---|---|---|
| MA | 38.2% | |
| Market (SPY) | 48.9% | 60.2% |
| Sector (XLF) | 53.2% | 74.0% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| MA Return | 20% | 1% | -3% | 23% | 24% | 10% | 100% |
| Peers Return | 30% | -6% | -20% | 20% | 33% | -16% | 30% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 18% | 115% |
Monthly Win Rates [3] | |||||||
| MA Win Rate | 58% | 58% | 42% | 67% | 67% | 58% | |
| Peers Win Rate | 57% | 52% | 42% | 58% | 63% | 45% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| MA Max Drawdown | -32% | -14% | -21% | -1% | -2% | -9% | |
| Peers Max Drawdown | -33% | -20% | -29% | -7% | -8% | -34% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: V, AXP, PYPL, FISV, GPN. See MA Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/24/2025 (YTD)
How Low Can It Go
| Event | MA | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -28.6% | -25.4% |
| % Gain to Breakeven | 40.0% | 34.1% |
| Time to Breakeven | 272 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -41.0% | -33.9% |
| % Gain to Breakeven | 69.5% | 51.3% |
| Time to Breakeven | 155 days | 148 days |
| 2018 Correction | ||
| % Loss | -22.0% | -19.8% |
| % Gain to Breakeven | 28.1% | 24.7% |
| Time to Breakeven | 64 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -62.8% | -56.8% |
| % Gain to Breakeven | 168.5% | 131.3% |
| Time to Breakeven | 925 days | 1,480 days |
Compare to V, AXP, COF, PYPL, MA
In The Past
Mastercard's stock fell -28.6% during the 2022 Inflation Shock from a high on 2/2/2022. A -28.6% loss requires a 40.0% gain to breakeven.
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AI Analysis | Feedback
Here are 1-3 brief analogies to describe Mastercard:
The other big global payment network, like Visa.
The underlying network for all major credit and debit card payments, similar to how PayPal facilitates online money transfers.
A payment network that connects banks and merchants for card transactions, akin to American Express, but without issuing its own cards.
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- Payment Network Services: Mastercard operates a global payment processing network that facilitates electronic transactions between financial institutions, merchants, and consumers for credit, debit, and prepaid cards.
- Credit, Debit, and Prepaid Card Programs: Mastercard licenses its brand and technology to financial institutions worldwide, enabling them to issue various types of payment cards that operate on its network.
- Fraud Prevention and Security Services: Mastercard provides advanced tools and technologies, such as tokenization, authentication, and risk management, to protect transactions and cardholders from fraud.
- Data Analytics and Consulting Services: Offers data-driven insights, market analysis, and strategic advisory services to financial institutions, merchants, and governments to optimize their payment strategies and operations.
- Digital Payment Solutions: Develops and supports innovative digital payment methods, including mobile payments, e-commerce solutions, and open banking technologies, to enhance convenience and accessibility.
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Mastercard (symbol: MA) primarily sells its services to other companies (B2B) rather than directly to individuals. Due to its global network business model, Mastercard does not have a small number of "major customers" that account for a dominant portion of its revenue in the way that a direct sales company might. Instead, its revenue is derived from transaction volume and fees generated across a vast ecosystem of financial institutions and payment processors worldwide. However, its major customers can be categorized as follows, with examples of public companies within each category:Major Customers of Mastercard (MA)
Mastercard primarily sells its payment network, brand licensing, and technology services to other companies. Its major customers fall into the following categories:
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Financial Institutions (Issuers): These are banks, credit unions, and other financial entities that issue Mastercard-branded credit, debit, and prepaid cards to consumers and businesses. They are Mastercard's direct customers for network access, brand usage, and various payment solutions.
- JPMorgan Chase & Co. (NYSE: JPM)
- Bank of America Corporation (NYSE: BAC)
- Citigroup Inc. (NYSE: C)
- Wells Fargo & Company (NYSE: WFC)
- Capital One Financial Corporation (NYSE: COF)
- PNC Financial Services Group, Inc. (NYSE: PNC)
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Payment Processors and Acquirers: These companies provide merchant acquiring services, enabling businesses to accept Mastercard payments. They process transactions and route them through the Mastercard network. Many large financial institutions also act as acquirers.
- Fiserv, Inc. (NYSE: FI)
- Global Payments Inc. (NYSE: GPN)
- Fidelity National Information Services (FIS), which owns Worldpay (NYSE: FIS)
- Adyen N.V. (AMS: ADYEN)
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Governments and Public Sector Entities: Mastercard partners with governments globally for various initiatives, including the disbursement of benefits, identity solutions, and the modernization of public sector payments. While often implemented through financial institutions, Mastercard works directly with government bodies on strategic payment solutions.
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- Microsoft (MSFT)
- Google (GOOGL)
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Michael Miebach, Chief Executive Officer
Michael Miebach has served as the CEO of Mastercard since January 2021. Prior to this, he held positions including President and Chief Product Officer at Mastercard. He joined the company in 2010 to lead its Middle East and Africa operations. Earlier in his career, he held senior roles at Barclays Bank and Citibank. Miebach was instrumental in transforming Mastercard's offerings from a consumer card-centric business to a broader payment platform, expanding into areas like real-time payments, open banking, and digital identity. He has also been involved in acquisitions such as Vocalink and Finicity.
Sachin Mehra, Chief Financial Officer
Sachin Mehra has been the CFO of Mastercard since April 2019. He has over 20 years of financial leadership experience, with more than 12 years at Mastercard in various financial leadership roles, including corporate treasurer and business finance officer for North America. Before joining Mastercard in June 2010, Mehra spent three years at Hess Corporation in treasury and finance roles and held various domestic and international treasury and finance positions at General Motors and GMAC from 1996 to 2007. He currently serves on the board of Salesforce.
Jorn Lambert, Chief Product Officer
Jorn Lambert became Mastercard's Chief Product Officer in 2024, leading the Core Payments team responsible for developing innovative, seamless, and secure payment solutions. This includes digital solutions like tokenization, authentication, real-time payments, and new acceptance models. Before this role, he served as Chief Digital Officer, shaping the company's global digital strategy. Lambert joined Mastercard in 2002 and has held various leadership positions to advance the company's digital vision. Prior to Mastercard, he worked in capital markets in product development, management, and corporate strategy roles.
Raja Rajamannar, Chief Marketing & Communications Officer
Raja Rajamannar is the Chief Marketing & Communications Officer for Mastercard and also serves as President of the company's healthcare business. He is recognized for transforming Mastercard into a fast-growing brand, leading the iconic "Priceless" platform, and incorporating AI and Web3 technologies into marketing. His leadership has contributed to Mastercard being recognized as one of BrandZ's most valuable global brands. Rajamannar joined Mastercard in 2013, bringing extensive experience in managing large revenue-driving organizations. His prior roles include Chief Transformation Officer at Elevance (formerly Anthem) and Chief Innovation & Marketing Officer at Humana. He also held senior management positions with Unilever and Citibank.
Craig Vosburg, Chief Services Officer
Craig Vosburg is the Chief Services Officer at Mastercard, a role he assumed in a realignment effective May 1, 2024. In this position, he leads the team responsible for Mastercard's value-added services, including fraud management, risk and cybersecurity, consulting and marketing services, and insights. He also oversees new networks in global open banking and digital identity and champions innovation leveraging AI and the in-house lab, The Foundry. Vosburg previously served as Mastercard's Chief Product Officer and President of North America. Before joining Mastercard in 2006, he was a senior member of the financial services practices at Bain & Company and A.T. Kearney, and a vice president at CoreStates Financial Corporation.
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The public company Mastercard (symbol: MA) faces several key risks to its business:
- Regulatory and Legal Scrutiny: Mastercard is subject to extensive regulations and legal challenges globally, particularly concerning interchange fees and network fees. Recent antitrust lawsuits and rulings, such as those in the U.K., have found Mastercard in violation of competition law for imposing excessive interchange fees, exposing the company to significant financial liability and potentially forcing revisions to its fee structure. The U.S. also has proposed legislation, like the Credit Card Competition Act of 2023, which aims to reduce merchant fees and increase competition, potentially threatening Mastercard's revenue growth in a key market. Ongoing regulatory pressure can lead to increased operating costs, litigation expenses, and potential caps on fees, impacting a significant high-margin revenue stream.
- Intensifying Competition: The payments industry is experiencing rapid evolution, leading to increased competition for Mastercard. This includes the rise of digital wallets, especially in markets like Asia where they dominate e-commerce transactions, and the emergence of fintech companies developing alternative payment platforms. Additionally, the development of local real-time payment rails and potential central bank digital currencies could disintermediate Mastercard from transactions, diminishing demand for its core products and services.
- Cybersecurity Threats and Fraud: Despite Mastercard's substantial investments in security measures, the business faces continuous and evolving cybersecurity risks. The sophistication of cybercrime is increasing, with threats such as AI-driven scams, deepfakes, synthetic identity fraud, and "fraud-as-a-service" platforms becoming more prevalent. Successful cyberattacks or data breaches could lead to significant financial losses, damage to brand reputation and consumer trust, and potential regulatory penalties.
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The proliferation and increasing adoption of real-time, account-to-account (A2A) payment systems globally represents a clear emerging threat. These systems, such as FedNow in the United States, Pix in Brazil, and UPI in India, enable direct bank-to-bank transfers, often at lower costs for merchants and with immediate settlement. As these networks gain traction for everyday retail transactions, they have the potential to disintermediate traditional card networks like Mastercard by providing an alternative rail for payments, thereby reducing transaction volumes and associated revenues derived from card-based processing fees.
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Mastercard (NYSE: MA) operates in several large and growing addressable markets for its main products and services:
-
Payment Processing/Card Networks (Credit, Debit, and Prepaid Cards):
- The global payment processing solutions market size was estimated at USD 173.38 billion in 2025 and is projected to reach approximately USD 914.91 billion by 2034.
- The global credit card network market is estimated at $1.5 trillion in 2025.
- Globally, credit card purchase volume amounted to $19.6 trillion in 2023.
- Global purchase volume on debit cards was $17.725 trillion in 2023.
- The global credit card payment market size was valued at USD 314.20 billion in 2024 and is projected to reach USD 343.20 billion in 2025.
- The global debit card market was valued at $95.7 billion in 2023 and is projected to reach $151.1 billion by 2032.
-
Cross-Border Payments:
- The total addressable market for cross-border payments globally was worth $194.6 trillion in 2024 and is expected to grow to $320 trillion by 2032.
- The cross-border payments market is valued at USD 222.23 billion in 2025 and is on track to reach USD 315.26 billion by 2030.
- For B2B cross-border transactions, the market size is projected to increase from USD 39.3 trillion in 2023 to USD 56.1 trillion by 2030.
-
Payment Gateway Services:
- The global payment gateway market size was estimated at USD 26.7 billion in 2024 and is projected to reach USD 48.4 billion by 2029.
- Another estimate places the global payment gateway market size at USD 35.17 billion in 2024, expected to reach USD 152.26 billion by 2032.
-
New Payment Flows (including B2B Payments and Real-Time Payments):
- The B2B payments market is projected to grow to $3.79 trillion by 2034 globally, with transactions valued at $1.58 trillion in 2024.
-
Value-Added Services and Solutions:
- While a specific overall market size for this broad category is not available, Mastercard's value-added services and solutions revenues are 85% recurring in nature.
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Mastercard (MA) Expected Drivers of Future Revenue Growth
Over the next 2-3 years, Mastercard (MA) is anticipated to drive future revenue growth through several key strategic areas. These drivers are underpinned by the company's diversified business model, ongoing innovation, and efforts to expand its reach in the evolving global payments landscape. Here are 3-5 expected drivers of Mastercard's future revenue growth:- Growth in Value-Added Services and Solutions: Mastercard is heavily focused on expanding its high-margin value-added services and solutions. This segment, which has consistently shown strong growth, includes offerings in cybersecurity, fraud prevention, data analytics, consulting, marketing, and open banking. The company aims to differentiate its payment capabilities and enhance its suite of services, driving demand across security, digital, and authentication solutions, as well as consumer acquisition and engagement services.
- Expansion in Digital Payments and New Payment Flows: Mastercard is strategically positioned to capitalize on the secular shift towards digital forms of payment and to capture new payment flows beyond traditional consumer card transactions. This includes significant initiatives in agentic commerce, which involves partnerships with AI leaders like OpenAI and Google, and the expansion of Mastercard Agent Pay. Furthermore, the company is growing its presence in digital wallets, B2B payments, remittances through Mastercard Move, and integrating stablecoins and cryptocurrency across the global payment ecosystem.
- Increased Cross-Border Volume and Transaction Growth: Despite global uncertainties, Mastercard expects continued robust growth in cross-border transaction volumes. These transactions typically generate higher revenues and are a significant growth engine, fueled by both travel and non-travel-related spending. The overall increase in worldwide gross dollar volume (GDV) and switched transactions due to healthy consumer and business spending also contributes to core payment network revenue growth.
- Strategic Partnerships and Acquisitions: Mastercard is actively forging new partnerships with airlines, retailers, banks, and fintech companies globally to expand its market presence and service adoption. The company also maintains a robust merger and acquisition pipeline to bolster its strategic growth initiatives, as evidenced by recent acquisitions aimed at enhancing cybersecurity and subscription management services. These collaborations and acquisitions enable Mastercard to broaden its acceptance network, particularly in underpenetrated sectors like rent and transit, and secure key affluent customer portfolios.
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Share Repurchases
- In December 2024, Mastercard's Board of Directors approved a new share repurchase program authorizing the company to repurchase up to $12 billion of its Class A common stock, effective upon completion of the previous $11 billion program.
- As of December 13, 2024, approximately $3.9 billion remained under the previously approved share repurchase program.
- Mastercard repurchased $11.035 billion in shares in 2024, $9.032 billion in 2023, and $8.753 billion in 2022.
Share Issuance
- Mastercard's shares outstanding have consistently declined, reflecting the impact of its share repurchase programs.
- Shares outstanding decreased by 2.01% in 2024 to 0.927 billion, and by 2.57% in 2023 to 0.946 billion.
- In 2022, shares outstanding were 0.971 billion, a 2.12% decline from 2021.
Outbound Investments
- Mastercard acquired Recorded Future for $2.65 billion in September 2024 to enhance its cybersecurity services.
- In October 2024, Mastercard acquired Minna Technologies, a provider of white-label subscription management solutions.
- Significant acquisitions in 2021 included Dynamic Yield, Arcus, CipherTrace, Aiia, and Ekata ($850 million), and in 2020, Finicity ($825 million) and IfOnly.
Capital Expenditures
- Mastercard's capital expenditures averaged $406.6 million annually from fiscal years ending December 2020 to 2024.
- Capital expenditures reached a peak of $474 million in December 2024.
- In 2023, capital expenditures were $371 million, following $442 million in 2022.
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Trade Ideas
Select ideas related to MA. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11212025 | WU | Western Union | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 13.8% | 13.8% | -0.4% |
| 11212025 | COIN | Coinbase Global | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | -0.3% | -0.3% | -0.5% |
| 11142025 | PYPL | PayPal | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | -4.4% | -4.4% | -7.5% |
| 11142025 | V | Visa | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 7.6% | 7.6% | -2.7% |
| 11072025 | WD | Walker & Dunlop | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | -11.2% | -11.2% | -12.1% |
| 10312022 | MA | Mastercard | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 16.1% | 15.4% | -5.8% |
| 04302022 | MA | Mastercard | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | -9.0% | 5.2% | -21.8% |
Research & Analysis
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Peer Comparisons for Mastercard
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 218.16 |
| Mkt Cap | 161.1 |
| Rev LTM | 31,552 |
| Op Inc LTM | 6,296 |
| FCF LTM | 10,716 |
| FCF 3Y Avg | 8,838 |
| CFO LTM | 11,690 |
| CFO 3Y Avg | 9,769 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 10.2% |
| Rev Chg 3Y Avg | 8.9% |
| Rev Chg Q | 9.0% |
| QoQ Delta Rev Chg LTM | 2.2% |
| Op Mgn LTM | 28.7% |
| Op Mgn 3Y Avg | 27.0% |
| QoQ Delta Op Mgn LTM | -0.1% |
| CFO/Rev LTM | 31.4% |
| CFO/Rev 3Y Avg | 29.5% |
| FCF/Rev LTM | 26.9% |
| FCF/Rev 3Y Avg | 24.6% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 161.1 |
| P/S | 2.8 |
| P/EBIT | 8.8 |
| P/E | 17.3 |
| P/CFO | 10.7 |
| Total Yield | 6.9% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 6.5% |
| D/E | 0.2 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 7.8% |
| 3M Rtn | -2.3% |
| 6M Rtn | 4.2% |
| 12M Rtn | -9.2% |
| 3Y Rtn | 29.4% |
| 1M Excs Rtn | 4.4% |
| 3M Excs Rtn | -5.9% |
| 6M Excs Rtn | -9.2% |
| 12M Excs Rtn | -25.0% |
| 3Y Excs Rtn | -50.3% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Payment Solutions | 25,098 | ||||
| Payment network | 14,358 | 11,943 | |||
| Value-added services and solutions | 7,879 | 6,941 | |||
| Cross-border volume fees | 3,512 | 5,606 | |||
| Domestic assessments | 6,656 | 6,781 | |||
| Other revenues | 4,717 | 4,124 | |||
| Rebates and incentives (contra-revenue) | -8,315 | -8,097 | |||
| Transaction processing | 8,731 | 8,469 | |||
| Total | 25,098 | 22,237 | 18,884 | 15,301 | 16,883 |
Price Behavior
| Market Price | $579.45 | |
| Market Cap ($ Bil) | 523.2 | |
| First Trading Date | 05/25/2006 | |
| Distance from 52W High | -3.1% | |
| 50 Days | 200 Days | |
| DMA Price | $555.11 | $559.29 |
| DMA Trend | indeterminate | down |
| Distance from DMA | 4.4% | 3.6% |
| 3M | 1YR | |
| Volatility | 18.9% | 22.8% |
| Downside Capture | 60.75 | 76.58 |
| Upside Capture | 57.59 | 73.65 |
| Correlation (SPY) | 29.2% | 64.6% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 0.41 | 0.43 | 0.48 | 0.72 | 0.75 | 0.77 |
| Up Beta | 0.40 | 0.54 | 0.65 | 0.90 | 0.76 | 0.81 |
| Down Beta | -0.97 | 0.35 | 0.36 | 0.39 | 0.81 | 0.82 |
| Up Capture | 47% | 23% | 14% | 49% | 56% | 44% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 8 | 18 | 28 | 64 | 133 | 408 |
| Down Capture | 71% | 61% | 78% | 109% | 82% | 90% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 11 | 23 | 34 | 61 | 115 | 342 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of MA With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| MA | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 11.4% | 18.3% | 19.2% | 71.9% | 8.9% | 6.0% | -10.4% |
| Annualized Volatility | 22.7% | 19.0% | 19.5% | 19.3% | 15.3% | 17.1% | 35.0% |
| Sharpe Ratio | 0.40 | 0.75 | 0.78 | 2.69 | 0.36 | 0.18 | -0.12 |
| Correlation With Other Assets | 81.3% | 64.7% | 0.9% | 7.7% | 59.6% | 20.7% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of MA With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| MA | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 12.4% | 16.3% | 14.9% | 18.7% | 11.7% | 4.8% | 32.6% |
| Annualized Volatility | 24.2% | 18.9% | 17.1% | 15.5% | 18.7% | 18.9% | 48.7% |
| Sharpe Ratio | 0.47 | 0.72 | 0.70 | 0.97 | 0.51 | 0.17 | 0.59 |
| Correlation With Other Assets | 65.3% | 67.9% | 6.2% | 13.7% | 52.3% | 24.1% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of MA With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| MA | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 19.9% | 13.0% | 14.7% | 14.9% | 6.9% | 5.2% | 69.2% |
| Annualized Volatility | 26.8% | 22.3% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.71 | 0.54 | 0.70 | 0.83 | 0.31 | 0.22 | 0.90 |
| Correlation With Other Assets | 68.8% | 76.1% | 1.5% | 24.4% | 57.8% | 17.9% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 10/30/2025 | -0.2% | -0.2% | -1.9% |
| 7/31/2025 | 1.3% | 1.8% | 5.6% |
| 5/1/2025 | -0.3% | 3.3% | 6.8% |
| 1/30/2025 | 3.1% | 3.2% | 5.0% |
| 10/31/2024 | -2.7% | 1.4% | 3.7% |
| 7/31/2024 | 3.6% | 0.2% | 5.4% |
| 5/1/2024 | -2.0% | 0.4% | -2.0% |
| 1/31/2024 | 0.9% | 3.4% | 6.6% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 12 | 16 | 15 |
| # Negative | 12 | 8 | 9 |
| Median Positive | 2.3% | 3.0% | 6.8% |
| Median Negative | -1.5% | -2.6% | -3.4% |
| Max Positive | 7.2% | 15.1% | 15.1% |
| Max Negative | -8.1% | -6.8% | -10.8% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 10302025 | 10-Q 9/30/2025 |
| 6302025 | 7312025 | 10-Q 6/30/2025 |
| 3312025 | 5012025 | 10-Q 3/31/2025 |
| 12312024 | 2122025 | 10-K 12/31/2024 |
| 9302024 | 10312024 | 10-Q 9/30/2024 |
| 6302024 | 7312024 | 10-Q 6/30/2024 |
| 3312024 | 5012024 | 10-Q 3/31/2024 |
| 12312023 | 2132024 | 10-K 12/31/2023 |
| 9302023 | 10262023 | 10-Q 9/30/2023 |
| 6302023 | 7272023 | 10-Q 6/30/2023 |
| 3312023 | 4272023 | 10-Q 3/31/2023 |
| 12312022 | 2142023 | 10-K 12/31/2022 |
| 9302022 | 10272022 | 10-Q 9/30/2022 |
| 6302022 | 7282022 | 10-Q 6/30/2022 |
| 3312022 | 4282022 | 10-Q 3/31/2022 |
| 12312021 | 2112022 | 10-K 12/31/2021 |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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