This page tracks every stock Daniel Pronk has discussed on YouTube, extracted from AI transcription of their 7 most recent videos covering 16 tickers. They are currently bullish on META, AVGO, AMZN, GOOGL, VEEV, CRM and others. Bearish on LMB. Each take below includes their stated reasoning and, where given, a price target.
US electricity demand is accelerating after two decades of flat growth, driven by data centers, manufacturing, and electrification, with the US estimated to consume 50% more electricity by 2050. Electricity is becoming the primary bottleneck for AI development, causing hyperscalers to secure long-term power agreements. Electricity prices are up 36% since 2022, directly benefiting independent power producers. Vistra's main markets (PJM and ERCOT) are seeing record demand with ~3% annual growth since 2022 and ~4% expected going forward.
| Ticker | Action | Why | Target | When |
|---|---|---|---|---|
AMZN●●● | add | The FTC lawsuit seeking $20B in damages is likely to settle for $2.5-5B based on historical precedent, which Amazon can easily absorb given its $150B+ annual operating cash flow. The real risk is potential algorithm changes to the advertising business, but even with changes, Amazon's massive traffic and advertiser ROI will sustain a highly profitable ad business long term. | — | 1w ago |
META●●● | add | Meta is the fastest growing advertising business among the hyperscalers and is closing the gap with Google rapidly. The company is launching frontier-level AI models (voice, image, coding) and new subscription revenue streams (consumer agent Hatch, business agents, coding models) that the market is not pricing in at an 18x forward P/E ratio. Revenue per employee has doubled since Q1 2023, suggesting strong AI-driven operating efficiencies. | — | 1w ago |
META●●● | buy | The $18B settlement over a decade is non-material (only 1.4% of annual operating cash flow) and removes the scary $1.4T headline legal risk. Meta's AI investments are paying off with frontier-level Muse Spark models at a fraction of competitors' costs, WhatsApp revenue is growing 73% YoY, and there is potential optionality to sell excess compute for ~$50B/year by 2030. At under a 20 forward P/E, the market is not pricing in this growth optionality. | — | 2w ago |
APP●●● | buy | AppLovin is growing software platform revenue 50%+ with a ~70% FCF margin, yet trades at only ~16.6x forward FCF after a slight revenue miss spooked the market. The creator sees one of the widest price-to-growth disconnects he has ever encountered and believes even conservative DCF assumptions produce strong double-digit returns. | — | 2w ago |
META●●● | add | The $1.4T damages headline is theater; realistic fines are likely tens of billions, which Meta can absorb with $90B cash and $130B annual operating cash flow. The litigation is scoped to minors, not Meta's core revenue generator, and the business is still growing revenue ~28% YoY with operating cash flow up ~27%. Valuations have compressed to historically attractive levels (P/OCF ~10.8, lower than the 2020 crash bottom of 11.5), making this a compelling long-term entry point despite short-term headline noise. | — | 3w ago |
AMZN●●● | add | Amazon has the most diversified and durable business, with AWS adding the most incremental cloud revenue and operating margins at all-time highs. It trades below its historical median price-to-operating-cash-flow, and a conservative DCF yields a 22.9% CAGR over three years. | $371 | 4w ago |
META●●● | add | Meta has the fastest-growing advertising business and strongest overall revenue growth, trading at a massive discount to its historical multiples. Although it is the least diversified and seeing margin compression, a conservative DCF still projects a 22.8% CAGR over three years. | $827 | 4w ago |
The creator compares VST unfavorably to Meta, stating Meta offers more value and could produce significantly higher long-term returns from current prices, and fits better in his portfolio.
Broadcom is the leading custom AI chip designer with accelerating revenue and strong free cash flow, trading at an attractive forward P/E (~21x) if it hits its 2028 EPS targets. However, there is significant customer concentration risk with OpenAI and Anthropic accounting for a large portion of 2028 revenue guidance, making the long-term durability of cash flows uncertain.
Price target: $600
The FTC lawsuit seeking $20B in damages is likely to settle for $2.5-5B based on historical precedent, which Amazon can easily absorb given its $150B+ annual operating cash flow. The real risk is potential algorithm changes to the advertising business, but even with changes, Amazon's massive traffic and advertiser ROI will sustain a highly profitable ad business long term.
Berkshire Hathaway initiated a position ~18 months ago and recently participated in a $10B equity offering at a 6.5% discount, signaling strong conviction. The thesis centers on Google being a significant AI player with broad visibility into AI benefits across Berkshire's own portfolio companies. As AI costs decline and adoption grows, Google Cloud and AI services stand to benefit from massive token usage growth.
Veeva got way too cheap during the SaaSpocalypse at 10.7x EV/FCF while still growing revenue ~16% with high margins. The earnings report was solid but not thesis-changing; the 20%+ rally is mainly multiple re-expansion as the market realizes software is not being disrupted by AI. Fundamentals remain strong with 43% operating cash flow margins.
Salesforce's report was not stellar—revenue growing ~11%, FCF growth only ~4.5%—but the stock rallied 20%+ because multiples were too compressed. The slight acceleration from 8% to 11% growth and the realization that AI is a tailwind rather than a disruptor drove the re-rating. Nothing fundamentally changed; it is narrative-driven multiple expansion.
Mentioned as seeing momentum alongside the broader SaaS rally, with software multiples re-expanding as AI-disruption fears fade.
Mentioned as seeing momentum in the SaaS rally as the market recognizes software companies are not being disrupted by AI.
Skyward is a rare insurance company still growing double digits through a soft market cycle, with a diverse 11-segment portfolio that lets it shift toward strength. EPS hit an all-time high, combined ratio is 89.5%, and the stock trades at a reasonable ~13.6x PE. However, the creator cannot build conviction because insurance is outside his circle of competence.
Nubank is growing revenue 50% YoY with earnings up 49%, expanding ARPU while cost-to-serve per customer is declining, and achieving superior underwriting with declining NPLs. At ~18x annualized earnings and ~14.3x forward PE, the creator views it as undervalued but prefers MELI for its broader moat and similar fintech exposure.
MercadoLibre's fintech business is nearly the same size as Nubank's, plus it has the largest e-commerce platform in Latin America, a media/subscriptions business, and a rapidly growing advertising business. For only ~$30B more in market cap than Nubank, the creator gets a more diversified business with a stronger moat and more tailwinds, making MELI cheaper than NU in his view.
AppLovin is growing software platform revenue 50%+ with a ~70% FCF margin, yet trades at only ~16.6x forward FCF after a slight revenue miss spooked the market. The creator sees one of the widest price-to-growth disconnects he has ever encountered and believes even conservative DCF assumptions produce strong double-digit returns.
The investment thesis broke after Q2 showed that Q1 was not a one-off weak quarter but part of a full 2026 reset year. Revenue growth was almost entirely acquisition-driven, margins and EBITDA are declining, and management reframed data centers as the primary focus rather than an accelerant on a healthy core business.
VST is a good business benefiting from accelerating electricity demand from data centers and AI, with long-term PPAs with Meta and Amazon, strong free cash flow, and aggressive buybacks. However, most historical returns came from multiple expansion (P/EBITDA tripled from ~2.3x to ~7.4x), which the creator believes is largely depleted, and future returns will follow slower, volatile 0-15% fundamental growth. He views it as slightly below fair value but not offering enough upside for a cyclical power producer.
Price target: $168
Palantir had the best earnings of the season with revenue nearly doubling YoY, a 63% FCF margin, minimal CapEx, and a Rule of 40 score of 155. However, at ~90x forward FCF, the stock is priced for perfection and even an aggressive DCF only yields ~12% annual returns, which the creator finds insufficient for the growth he'd need to underwrite.
Microsoft is fairly valued with a highly diversified business model and high free cash flow margins. However, it is growing CapEx the least, resulting in less Azure acceleration, and its DCF returns are lower than Amazon and Meta.
Daniel Pronk analyzes Vistra Energy (VST), an independent power producer benefiting from rising electricity demand driven by data centers, AI, and electrification. While acknowledging tailwinds and insider buying, he concludes VST is not a buy for his portfolio because most historical returns came from multiple expansion which he believes is largely exhausted, and future returns will track slower, cyclical fundamental growth. He prefers Meta as a more attractive investment.
Daniel Pronk analyzes Broadcom (AVGO) after its stock dropped 25% from all-time highs despite strong earnings. He highlights the company's explosive revenue and free cash flow growth driven by custom AI chip design for hyperscalers. While he sees the stock as attractively valued on a forward basis if it hits its 2028 guidance, he remains cautious due to heavy customer concentration in OpenAI and Anthropic, whose profitability is uncertain. He is considering starting a small position for semiconductor exposure.
Daniel Pronk discusses three major topics: the FTC's $20B lawsuit against Amazon's advertising platform (which he views as a buying opportunity), Meta's rapid AI product launches and advertising growth (which he sees as underpriced by the market), and Berkshire Hathaway's large Google investment via a Greg Abel interview. He remains bullish on all three hyperscalers and is actively buying Amazon and Meta, while agreeing with Berkshire's AI-driven thesis on Google.
Daniel Pronk discusses Meta's $18B settlement over a decade, arguing it removes a massive $1.4T legal overhang and is non-material to the business. He is aggressively buying Meta under $600, citing AI model progress (Muse Spark), potential $50B/year compute-selling optionality by 2030, and WhatsApp revenue scaling. He also covers the end of the 'SaaSpocalypse,' explaining that software stocks like Veeva and Salesforce rallied not due to fundamental improvements but because multiples were too compressed and AI-disruption fears proved overblown.
Daniel Pronk recaps five stocks after earnings. He fully exited Limbock (LMB) after his thesis broke, with the CEO calling 2026 a reset year rather than a one-off weak quarter. He covers Skyward (SKWD) as a well-run insurance business growing through a soft market but stays out due to circle of competence. He praises Nubank (NU) as undervalued but prefers owning MercadoLibre (MELI) for its broader moat. He calls Palantir (PLTR) the best earnings report of the season but passes due to valuation at ~90x FCF. Finally, he initiated a small speculative position in AppLovin (APP), citing a massive price-to-growth disconnect with the stock trading at ~16.6x forward FCF while still growing 50%+.
Daniel Pronk analyzes Meta's ongoing child safety lawsuits and bellwether trials that have driven the stock down to ~$550. He argues the $1.4 trillion damages headline is fear-mongering for clicks, realistic fines are likely in the tens of billions (manageable given Meta's $90B cash and $130B operating cash flow), and the litigation is scoped to minors rather than the core business. He views the sell-off as a long-term buying opportunity, citing attractive valuations (P/E ~20.6, normalized ~18, P/OCF ~10.8, forward P/OCF ~8.1), accelerating revenue growth (~28% YoY), and super investor accumulation. He is actively scaling up his position and will continue buying if the stock goes lower.
The creator analyzes the four major hyperscalers (Amazon, Meta, Microsoft, and Google) after their Q2 results, focusing on advertising and cloud growth, CapEx efficiency, cash flow margins, and valuation. He concludes that Amazon and Meta offer the most attractive risk-reward profiles and are his preferred buys, while Microsoft is fairly valued and Google is the most expensive.
Based on AI analysis of this creator's recent videos. Theses are paraphrases of the creator's own words, not verbatim quotes. Not financial advice.