I’m Buying $10,000 to $20,000 Of This Stock

By Joseph Carlson After Hours

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Key Concepts

  • Mastercard's Evolution: Transition from a credit card company to a "global commerce operating system," cybersecurity firm, and data powerhouse.
  • Value Added Services (VAS): Mastercard's rapidly growing segment, encompassing cybersecurity, fraud prevention, data analytics, consulting, and loyalty programs.
  • Data Moat: Mastercard's unparalleled access to real-time global spending data, providing a significant competitive advantage.
  • Service-Led Relationship: Mastercard's strategy to offer comprehensive back-end services to banks and merchants, positioning itself as an operational partner.
  • Visa vs. Mastercard Strategy: Mastercard's focus on technology and cybersecurity versus Visa's emphasis on network scale and direct payments.
  • Google's Gemini 3.0: The impact of Google's advanced AI model on its stock performance and market position.
  • Nvidia Earnings: Market expectations and concerns surrounding Nvidia's financial results and its role in the AI boom.
  • Long-Term Investing: The potential for significant wealth creation through early investment in transformative companies, exemplified by AI and tech.

Mastercard: Beyond the Credit Card

Company Overview and Misconceptions

The video begins by addressing the common misconception that Mastercard is solely a credit card company. The presenter argues that this view is outdated and that Mastercard has evolved into a "global commerce operating system," a cybersecurity firm, and a holder of unparalleled data. This transformation is largely misunderstood by many investors, leading to a disconnect between public perception and the company's actual business model.

Investment Thesis and Current Position

The presenter is buying an additional $10,000 to $20,000 worth of Mastercard stock, bringing their total investment to $100,000, which is currently $29,000 in the green. Despite the stock trading flat year-to-date, the presenter is excited by its rapid growth, incredible economics, and wide economic moat. The core of this excitement lies in the company's strategic pivot.

Business Model Evolution: The Rise of Value Added Services (VAS)

  • Core Business vs. VAS: While Mastercard's traditional payment network business is growing at a comparable rate to Visa (around 10-12%), its "value added services" segment is the primary growth engine.
  • VAS Growth: This segment experienced a remarkable 24.93% year-over-year growth, significantly outpacing the core payment business.
  • VAS as a Main Growth Engine: By 2025, VAS is projected to be the company's main growth driver, not just a supplementary offering.
  • Revenue Contribution: VAS currently represents 37-38% of Mastercard's total revenue, generating approximately $11 billion annually. This segment alone is larger than the total revenue of many S&P 500 companies.
  • Growth Rate Comparison: VAS's 20-25% growth rate rivals that of cloud companies like Microsoft, Google, and Amazon, and even surpasses Meta's growth, all while boasting higher profit margins.

Pillars of Value Added Services

Mastercard's VAS offerings can be categorized into three main pillars:

  1. Cybersecurity and Fraud Prevention:

    • Mechanism: Utilizes AI to monitor billions of transactions in real-time to detect and prevent fraud.
    • Offerings: Includes identity verification and device intelligence.
    • Acquisitions: The acquisition of Recorded Future, a threat intelligence company for $2.65 billion, bolsters their cybersecurity and intelligence offerings to governments and banks.
    • Value Proposition for Banks: Instead of building their own fraud detection systems, banks can leverage Mastercard's data from billions of monitored cards, making it an easy sell.
  2. Data and Analytics and Consulting:

    • Data Asset: Mastercard possesses one of the world's most valuable datasets: real-time global spending habits.
    • Anonymized Data: Personal information is stripped, and trends are sold to retailers, governments, and banks.
    • Real-World Application (Starbucks/Target): Retail chains can use Mastercard's data to determine optimal locations for new stores by analyzing where high-spending coffee drinkers live and frequent.
    • Mastercard Advisors: This internal consulting arm functions like McKinsey for payments, assisting banks in portfolio optimization and retailers/restaurants in strategic location planning.
  3. Loyalty and Rewards:

    • Backend Management: Mastercard manages the infrastructure for airline miles, hotel points, and credit card cashback programs.
    • Switching Costs: By managing a bank's entire reward portal, Mastercard creates high switching costs, as migrating to a competitor like Visa would disrupt customer loyalty programs.

Strategic Differentiation from Visa

While Visa also offers value-added services, their philosophies differ significantly:

  • Mastercard's Strategy: Heavily invested in technology, particularly cybersecurity. They aim to be a technology and consulting firm first, with their card network as a secondary offering. Their pitch to banks is to run their entire back-end tech stack, including fraud, loyalty, and data, with card issuance as an added benefit.
  • Visa's Strategy: Focuses on network scale and direct payments. Their value-added services are more tightly integrated with the transaction itself, such as dispute resolution, risk scoring, and payment processing optimization. Their pitch emphasizes their massive, reliable, and widely accepted network.

Expanding Reach Beyond Banks

Mastercard's services are not limited to banks. Their first major customer for their Software-as-a-Service (SaaS) offerings was the government.

  • Government Contracts: Mastercard acts as a government contractor for digitalization and cybersecurity.

    • Threat Intelligence: Sells threat intelligence to 45 national governments, including the US and its allies.
    • Disbursements: Builds the backend infrastructure for governments to disburse welfare, pension, and emergency relief payments directly to citizens, bypassing traditional checks.
    • Tourism Analysis: Governments hire Mastercard to analyze tourist spending patterns to better target advertising, infrastructure development, and planning.
  • Retailer Consulting: Retailers rely on Mastercard for consulting services due to their unique data advantage.

    • Test and Learn Software: Provides software that predicts the impact of changes in pricing, store openings, or promotions.
    • Data Advantage: Unlike general consulting firms, Mastercard uses anonymized transaction data to provide real-time insights into how a promotion affects not only the client's business but also nearby competitors. This "closed-loop attribution" is a significant advantage over companies like Google and Meta.

The Data Moat and Predictable Revenue

Mastercard's data advantage is described as a "wide moat" that is difficult to replicate. The company productizes these services as standalone SaaS offerings, embedding them deeply into their clients' operations. This leads to fast, reliable, and predictable revenue growth.

Valuation and Future Outlook

  • Current Valuation: Mastercard is trading at a 28x forward P/E ratio with 45% profit margins and operating leverage. It also has a 3.6% free cash flow yield.
  • Market Disconnect: Despite its strong performance and growth, Mastercard has traded flat year-to-date, largely because it is not perceived as an "AI company."
  • Discounted Cash Flow Analysis:
    • Assuming a 35x P/E ratio and 15% growth, the model projects a 15.8% return over 5 years, with the stock price doubling.
    • Assuming 20% earnings per share growth, the projected CAGR is 21%, with the stock reaching $1,360 by Q1 2030.
    • Based on free cash flow, assuming 20% growth and a 3% yield, the projected return is 25% over 5 years, with the stock reaching $1,570 by Q1 2030.

The presenter believes Mastercard is one of the best risk-adjusted companies in the market and is increasing their position.

Google: Gemini 3.0 and Market Leadership

Stock Performance and Positioning

Google's stock has recently peaked above $300 per share, experiencing some profit-taking but remaining strong. The presenter is very happy with their Google position, which is now their top holding at $175,000, with $77,000 in unrealized gains (or $82,000 with dividends). They believe Google will continue to surpass $300 per share.

The Gemini 3.0 Impact

The primary driver of Google's recent stock surge is the release of its new Gemini 3.0 model. This model is considered "really good" and has been a bright spot in the often volatile AI trade.

Market Dynamics and AI Anxiety

While the AI trade has been volatile, with concerns about capital expenditure, debt, and potential bubbles, Google's Gemini 3.0 launch has helped it outperform other major AI players. The market is now appreciating Google's "full stack" approach, integrating its TPUs (Tensor Processing Units), models, and cloud ecosystem.

Gemini 3.0 Integration and User Adoption

  • AI Mode: Gemini 3.0 will be integrated into Google's AI Mode, becoming the default experience for most users.
  • Gemini App: The dedicated Gemini app is closing the gap with OpenAI's ChatGPT.
    • User Numbers: The Gemini app has 650 million monthly active users.
    • Comparison: OpenAI reported 700 million weekly users for ChatGPT in August.

Presenter's Confidence in Google

The presenter is reluctant to trim their Google position, believing it's too early to do so. They anticipate the valuation-to-quality gap will close around $350 per share. They attribute their success with Google to recognizing its strength and betting heavily on it six months before Wall Street did, following Charlie Munger's advice to bet big when having an edge.

Nvidia Earnings and Market Dependence

Market Expectations

Nvidia is reporting earnings, and there's a recurring narrative that "so goes Nvidia, so goes the market." Analysts expect over 50% growth in net income and revenue.

AI Spending Growth

Microsoft, Amazon, Google, and Meta, which account for over 40% of Nvidia's sales, are projected to increase their combined AI spending by 34% over the next 12 months to $440 billion.

Concerns and Disagreement

While some analysts express concern about companies continually raising investor expectations, the presenter disagrees. They believe Nvidia is fulfilling genuine, insatiable demand for AI processing and efficiency, not just hyping a product.

Long-Term Concerns About Nvidia

Despite acknowledging Nvidia's current strength, the presenter chooses not to invest due to a long-term concern: its own customers are actively trying to replace Nvidia.

  • Customer Competition: Companies like Google (with TPUs) and Amazon (with Tranium) are developing their own chipsets to perform tasks previously handled by Nvidia.
  • Analogy to ASML: This is compared to ASML's customers developing their own lithography machines.
  • Cloud Companies as Better Bets: The presenter believes cloud companies themselves are better risk-adjusted bets in the long run.

Win of the Week: The Power of Long-Term Investing in AI

The Viral TikTok Video

The presenter initially intended to feature a TikTok video as the "fail of the week" but instead found it to be the "win of the week." The video, by an unnamed creator, discusses the potential for average people to make significant wealth through investing, drawing parallels to past opportunities in real estate and early investments in companies like Starbucks and Amazon.

Key Message of the Video

The creator emphasizes that the current AI and tech boom presents a "once-in-a-lifetime" opportunity for individuals to invest and become wealthy, similar to those who invested in successful companies in their early stages.

Presenter's Agreement and Personal Anecdote

The presenter agrees with the video's message, citing personal examples:

  • Historical Investments: Investing in Starbucks, Walmart, or Home Depot early on would have led to millionaire status.
  • Relative's Apple Investment: A relative who invested $2,000 in Apple stock in 2002 has seen their investment grow to over a million dollars.

Conclusion on the TikTok Video

The presenter supports the idea that identifying the right companies, having a bit of luck, and holding long-term can lead to substantial financial gains. They view the video's message as positive and encouraging for new investors.

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