Investment Pitches

Pitch Summary:
Kongsberg Gruppen: Defense company Kongsberg was sold due to the high valuation (expected P/E ratio of 31.5), as well as uncertainty about the valuation after the planned spin-off of its maritime division.

BSD Analysis:
Kongsberg is a defense and maritime technology player benefiting from a world that’s rearming without apology. Its missile systems, naval solutions, and remote weapon stations are no longer niche — they’re in demand. Backlogs are expanding as European defense budgets reset structurally higher. Execution risk exists, but program visibility is strong once contracts land. Civil maritime and energy solutions add diversification beyond pure defense. Margins improve as scale builds in high-value systems. Geopolitical tension is not a short-term catalyst — it’s the baseline. This is not speculative defense hype. It’s a national champion riding structural demand.

Pitch Summary:
We believe that Deutsche Börse is fairly valued at the moment. The latest valuation indicators, particularly the price-earnings ratio, have decoupled from their historic average value, with a very optimistic growth scenario already priced in. While cash flow performance is solid, we are not seeing the margin of safety that would be required at this level to mitigate any operational fluctuations.

BSD Analysis:
Deutsche Börse’s moat is market infrastructure—clearing, settlement, and trading rails that institutions depend on. Network effects reinforce liquidity dominance. Revenue diversification across derivatives, custody, and data stabilizes earnings. Pricing power exists through embedded workflows. Regulatory oversight is heavy but entrenches incumbents. Capital intensity is moderate relative to returns. Volatility can boost trading volumes. The bull case is structural electronification and steady asset flows. Deutsche Börse compounds by owning the rails of capital markets.

Pitch Summary:
Sino Biopharmaceutical is a leading Chinese pharmaceutical and biopharmaceutical company. The share price rose by 104% last year. In terms of its business operations, the company enjoys a very strong position, but we believe that it is now slightly over-valued and we took profit.

BSD Analysis:
Sino Bio’s moat is portfolio breadth in China’s generic and innovative pharma space. Pricing pressure from centralized procurement caps margins. Pipeline development is necessary to escape commoditization. Regulatory shifts can rewrite economics quickly. Scale helps manufacturing efficiency but not pricing power. R&D investment determines long-term relevance. Cash generation supports reinvestment but volatility remains. The bull case is successful innovation offsetting pricing reform. Sino Bio survives on adaptation.

Pitch Summary:
Shengyi Technology is a leading manufacturer of electronic components in China; its main product is "printed circuit boards". Shengyi's value rose by 180% in the past year. This meant that Shengyi's P/E ratio was 49.60. Considering the main product is "printed circuit boards", we were of the opinion that this P/E was too high, so we took profit and sold the position.

BSD Analysis:
Shengyi’s moat is scale in copper-clad laminates, a foundational input in PCBs. Volume leadership provides cost advantage, not pricing dominance. Demand tracks electronics cycles closely. Margin swings follow raw material costs and capacity utilization. Customer integration offers some stickiness, but not immunity. Expansion must stay disciplined to avoid oversupply. Export exposure adds trade-policy risk. The bull case is electronics demand recovery with tight supply. Shengyi rides cycles—it doesn’t escape them.

Pitch Summary:
This stock, a specialist for life sciences and diagnostics, was sold because the high valuation does not offer a lot of upward potential at the moment, considering the moderate growth outlook and stagnating equipment sales. At this time, there are other companies in this segment with more impressive operations.

BSD Analysis:
Danaher’s moat is process excellence—DBS turns acquisitions into disciplined, recurring cash machines. Consumables and services smooth cycles, even if instrument demand wobbles. Portfolio rotation keeps growth alive while shedding laggards. Pricing power comes from mission-critical positioning, not brand flash. Biopharma funding cycles inject short-term noise. Capital allocation credibility is the real asset. Operating leverage emerges when volume returns. The bull case is normalized lab spend with disciplined integration. Danaher compounds by running better systems than competitors.

Pitch Summary:
With an estimated 2026 P/E ratio of 9 and a price to book value ratio that is significantly less than 1 (approx. 0.7 - 0.9), this stock continues to trade at an attractive discount on the intrinsic value, despite the latest price gains. The massive share buy-back program (target: GPB 10 billion until 2026) and strict cost reductions are disproportionately driving earnings per share, and patient value investors are reaping the benefits. The British banking sector also benefits from "structural hedges", which secure stable interest margins and strengthen profitability even with falling prime rates.

BSD Analysis:
Barclays’ moat is scale across UK retail banking and a globally relevant investment bank, but that diversification is a double-edged sword. Retail provides deposit stability; investment banking injects volatility. Earnings swing with capital markets and rate cycles more than strategic brilliance. Cost discipline has improved, yet complexity remains structural. Capital allocation debates never fully disappear in universal banks. Regulatory scrutiny caps upside but stabilizes downside. Credit risk is manageable—until macro turns. The bull case is strong markets and steady UK spreads. Barclays survives on breadth, not purity.

Pitch Summary:
The continued demand for bi- tuminous coal for global steel production secures a stable source of income for AMR. Efficient cost structures also enable the company to generate significant free cash flows in the future and thus create value for shareholders. AMR has purchased approximately 30% of outstanding shares since 2020.

BSD Analysis:
Alpha is metallurgical coal exposure in a world that still needs blast furnaces regardless of decarbonization rhetoric. Investors lump it in with thermal coal decline and miss steel’s ongoing reliance on met coal. Capital returns matter more than production growth here. Supply discipline has tightened the market more than demand destruction. Cost structure and asset quality determine survival in downturns. When steel pricing firms, free cash flow can spike rapidly. This is uncomfortable commodity exposure with real torque when cycles tighten.

Pitch Summary:
With a current P/E ratio of approximately 20, the share price is well below its five-year average of approximately 30. The massive and continuously growing free cash flows of almost USD 10 billion confirm the quality of the business model. The concerns about AI, which we believe to be exaggerated, provided an opportunity to acquire an interest in Adobe at a good price.

BSD Analysis:
Adobe owns creative and document workflows so deeply embedded that competition is largely theoretical. Creative Cloud is part of professional identity, not just productivity software. AI tools enhance pricing power by increasing user output inside the ecosystem. Investors worry about freemium disruption and miss switching friction rooted in skill and habit. Subscription economics remain elite. Experience and document clouds broaden the moat beyond creatives. This is software dominance monetizing creativity at scale.

Pitch Summary:
We purchased Focusrite following the significant improvement in margins and debt reduction in the last quarter. The company is known for its high-quality audio interfaces, which are used by amateur musicians and global superstars alike. The company successfully managed the pandemic-induced global boom- bust cycle and its brand quality did not suffer as a result; it is very attractively valued at the moment.

BSD Analysis:
Focusrite monetizes music production hardware and software for creators who care about quality, not commodity pricing. The home studio boom normalized, but the installed base remains. Investors fixate on post-pandemic demand softness and miss brand loyalty in professional audio. Product cycles and innovation drive replacement demand over time. Distribution scale protects margins better than smaller niche brands. Cash flow volatility reflects channel dynamics more than structural decay. This is creator infrastructure riding long-term democratization of content.

Pitch Summary:
Fabasoft is an Austrian expert for secure document management. We purchased the stock due to its strong market position with European government authorities and rising demand for sovereign EU-based cloud solutions, also from the private sector. The profitable growth trend of the last few years seems to be a good blueprint for future value growth.

BSD Analysis:
Fabasoft is workflow and document management software embedded in European public sector and regulated enterprises. Its niche focus creates switching costs that don’t show up in headline growth rates. Investors dismiss it as small-cap European SaaS and miss retention strength. Compliance and digital archiving mandates drive steady demand. Margin discipline matters more than aggressive expansion. Cloud transition improves revenue visibility without breaking the base. This is boring software that sticks because regulation demands it.

Pitch Summary:
Despite the price level of EUR 104, the expected profit growth (by 2027) to over EUR 10 per share points to a fundamental under-valuation. The strong cash flows from the CEE region are pushing the forward P/E ratio back into the attractive single-digit region, which is enticing to long-term oriented value investors. With robust balance sheets and economic momentum in Eastern Europe, the banking sector remains a stable revenue generator with continued upward potential.

BSD Analysis:
Erste is Central and Eastern European banking leverage wrapped in a conservative Austrian shell. Its footprint across faster-growing CEE markets gives it structural loan growth Western Europe lacks. Investors fixate on geopolitical proximity and miss strong capital ratios and disciplined underwriting. Net interest income has reset higher in a normalized rate environment. Fee income from retail and SME banking adds ballast beyond pure lending spreads. Credit quality has proven more resilient than feared through multiple stress cycles. This is regional banking scale trading at a persistent skepticism discount.

Pitch Summary:
We acquired EPAM Systems, one of the leading companies in complex software product development, due to the company's steady growth, robust cash flow generation and the currently attractive share buy-back program, which increases shareholder value in the long term.

BSD Analysis:
EPAM Systems outperformed its own guidance in late 2025, reporting fourth-quarter revenue of over $1.4 billion and signaling a return to healthy organic growth. For 2026, the company expects revenue growth of 4.5% to 7.5%, as client spending increasingly shifts toward complex AI platform modernization and cloud foundations. A significant highlight is the "AI-native" revenue segment, which is projected to exceed $600 million in 2026 as the firm helps global enterprises implement measurably productive AI solutions. While the acquisition of NEORIS provides a slight headwind due to customer concentration, the firm’s broad growth across five of its six industry verticals highlights its diversified resilience. With non-GAAP operating margins targeted at 15% to 16%, EPAM remains a premier pick for investors looking to capture the "productivity at scale" theme of the AI era.

Pitch Summary:
In the fourth quarter of the year, we made a new investment in Amrest Holdings. We invested in this fast-food company following the sale of another company in the same sector, Ibersol, which had experienced a sharp rise in value in recent months. Amrest operates a portfolio of own and third-party brands with more than 1,600 fast food outlets in Europe, the Middle East and Asia, with a strong presence in various Eastern European countries. In these countries, the degree of development of the various brands is much lower than in Western Europe, and the potential for growth and expansion of the store network is very high. In addition, the company has a presence in China with its own brand Blue Frog, a country where recent developments have not been very positive due to the fragile economic situation following the pandemic, but where the medium-term outlook is positive. The company's main shareholder is a Mexican family that formerly owned the Grupo Modelo brewery (Coronita). At current levels, the company is trading below 5x enterprise value to EBITDA, while the multiples being paid for similar companies in the private sector are in the range of 8-10x. As mentioned above, we have decided to switch our investment in Ibersol to Amrest. Ibersol is a company very similar to Amrest, operating similar brands such as KFC and Pizza Hut, although with geographical exposure restricted to Spain and Portugal. In both cases, these are companies with a reference shareholder that operates the companies from a long-term perspective. In a further demonstration of the irrationality of the markets, the stock market performance of the two companies in recent quarters has been completely opposite, causing Amrest to go from trading at a premium over Ibersol to a high discount (Amrest is currently trading at 4.8x EV/EBITDA compared to Ibersol's 5.8x EV/EBITDA).

BSD Analysis:
AmRest is branded QSR exposure in Central and Eastern Europe where consumption convergence still has runway. Franchise partnerships provide brand strength without inventing menus from scratch. Investors worry about wage inflation and macro softness and miss unit-level resilience. Scale in procurement and operations protects margins better than local independents. Growth comes from footprint density, not experimentation. Capital discipline matters more than expansion speed. This is consumer demand monetized through franchised infrastructure.

Pitch Summary:
Amphenol is a global interconnect and sensor company that designs and manufactures connectors, cable assemblies, and high-reliability systems for data centers, defense, industrial, automotive, and communications markets, enabling faster, more reliable, and more power-efficient electronic systems  APH components are deeply embedded in mission-critical systems, where performance, reliability, and uptime are non-negotiable, making them essential enablers of modern electronics infrastructure  APH operates three main segments:  Communication Solutions: 53% of rev.; 33% op margin  Harsh Environment Solutions: 24% of rev.; 27% op margin  Interconnect & Sensor Systems: 22% of rev.; 20% op margin  Sales diversified across a variety of end-markets including military, commercial aerospace, industrial, automotive, mobile devices, IT & Datacom, and communications networks  AI-buildout related demand: AI servers generally require greater connector/interconnect content vs. traditional servers, helping drive healthy organic growth in APH’s IT Datacom segment (>100% growth in 3Q25); the projected incremental 100GW of data center capacity necessary through 2030 creates a large opportunity for APH  Portfolio positioned for next-gen architectures: APH is proactively repositioning toward fiber/interconnect growth via M&A, preserving relevance in next-gen data center builds  Diversified end-markets exposed to multiple secular tailwinds: Rising global aero and defense budgets and Industry 4.0 drive higher content per platform (sensors + ruggedized connectors), supporting above-market growth and margin expansion beyond data centers  Established management team with strong M&A playbook  AI data centers drive structurally higher interconnect content: Dense GPU racks require far more high-speed copper, fiber, and power interconnects than traditional servers  Designed into the physical AI infrastructure stack: Amphenol supplies backplane connectors, high-speed cable assemblies, fiber-optic interconnects, and power solutions that are embedded across AI racks and networking layers—giving APH content-per-system leverage  AI expands beyond the data center into factories and robotics: Industrial automation lines are seeing sensor counts per robot cell roughly triple, driving sharply higher demand and positioning APH for a second AI growth vector as automation, robotics, and physical AI adoption accelerates

BSD Analysis:
Amphenol is a primary beneficiary of the unprecedented AI-infrastructure boom, commanding an estimated 33% market share in the critical data center interconnect sector. The company's IT datacom segment—its most exposed to AI—is currently delivering triple-digit organic growth as hyperscale customers extend commitments for next-generation system buildouts. Recent fourth-quarter results indicate a capacity-driven shift in infrastructure spending, with record bookings and a strong book-to-bill ratio providing multi-quarter visibility. The strategic inclusion of CommScope’s CCS business has further enhanced Amphenol’s fiber and power connectivity portfolio, making it a mission-critical partner for diverse AI architectures. Management expects revenue and earnings growth to exceed 30% this year, fueled by the higher performance thresholds required for complex AI workloads. As data center power demand is projected to grow nearly 175% through 2030, Amphenol’s technological lead in high-speed interconnects makes it a cornerstone holding for the AI era.

Pitch Summary:
Axon is a public safety company with an integrated hardware software platform that includes TASERs, sensors, cameras, and digital evidence management. Together these tools drive safer, more efficient, and more data-driven operations for law enforcement and enterprise security customers  Axon operates two primary segments:  Connected Devices (57% of revenue; 52% adj. gross margin): Includes TASER, Personal Sensors (body cameras), and Platform Solutions (fleet solutions, anti-drone defense, etc.)  Software & Services (43% of revenue; 77% adj. gross margin): Includes products that integrate with AXON’s suite of connected devices, such as Axon Evidence, Record Management Systems, and other cloud services  Policing technology is an attractive end-market tied to human safety  Stable end-market budgets with historical growth of mid-single digits  AI to create opportunity with new products and efficiencies  Durable hardware/software growth profile: Hardware-software sales drive sticky base revenue with upside levers through additional software features (95%+ revenue tied to subscriptions)  TAM penetration low within International (10% of U.S. State & Local bookings for 2025  Meaningfully expands Axon’s software value per officer by embedding AI directly into core daily workflows and driving higher attach rates across both hardware and software products. Priced at $199/officer/month

BSD Analysis:
Axon Enterprise continues its exceptional growth trajectory in 2026, with revenue projections reaching $2.6 billion and analyst consensus pointing toward a sustained double-digit growth rate. The company is successfully transitioning from a hardware-centric business to a high-margin software and AI powerhouse, leveraging its cloud-based evidence management and real-time operations platforms. Strategic investments in research and development are expected to surpass $500 million this year, focusing on integrating AI-driven analytics and automated transcription into its body camera and TASER ecosystems. While the company maintains a premium valuation, its dominant market position and recurring revenue model provide a high degree of earnings visibility. Management's focus on expanding its reach into international markets and federal agencies is creating new long-term growth levers. With a fortress balance sheet and consistent beats on Wall Street expectations, Axon remains a top-tier choice for investors seeking exposure to the digitization of public safety.

Pitch Summary:
@TheBigDegen frames IREN as a high-upside 2026 setup where the market still wants proof the company can execute its pivot from Bitcoin mining into AI compute. The bull case rests on contracted demand and follow-on wins with hyperscalers, with the Microsoft agreement used as the anchor for scaling AI cloud revenue and GPU deployments. The author argues renewables-powered capacity is strategically advantaged as power constraints tighten for AI infrastructure. They like that Bitcoin mining remains a cash-generating backstop while the AI buildout ramps. Valuation upside is expressed through sell-side price targets and the idea that meeting guidance could drive a large rerating. Key risks highlighted are execution slippage in deployments/energization (notably Sweetwater) and the overhang from recent and potential future dilution. Net: bullish, but dependent on hitting operational milestones and maintaining financing discipline.

BSD Analysis:
IREN sits at the intersection of two volatile end-markets: hyperscale AI compute (capacity-constrained, contract-driven, winner-take-most) and Bitcoin mining (price-driven, reflexive). The strategic question is whether its power procurement and site development translate into durable AI-grade utilization, or whether it becomes a cyclical merchant capacity provider with periodic oversupply resets. The Microsoft contract (if accurately characterized) can compress demand risk, but concentration and renewal economics will matter as much as headline dollars. The biggest underwriting variable is execution: commissioning timelines, network/power redundancy, and GPU supply/installation cadence are where “AI infrastructure” stories commonly break. Capital structure risk is real—AI capex intensity can force equity/convert issuance that transfers upside from shareholders to vendors/lenders if returns lag. A cleaner way to frame value is earnings power across the cycle: normalized AI hosting contribution + a mid-cycle mining contribution, discounted for reinvestment needs and residual asset value. Competitive pressure from better-capitalized data center operators and cloud incumbents could cap margins unless IREN offers differentiated power economics or speed-to-market. February results are a catalyst primarily for credibility (delivery vs. plan), not just near-term numbers. If execution is consistent, the multiple can rerate quickly; if not, the stock can de-rate on both dilution and confidence simultaneously.

Actual Post Content:
My balanced overview of $IREN for 2026 thread Cautiously bullish – the upside potential is massive if they tick off some key milestones (e.g. additional hyperscaler deal/s, strong SweetWater progress). Bull case: - $9.7B multi-year Microsoft contract + other deals targeting $3.4B AI Cloud ARR by end-2026 (scaling to 140k GPUs) - Renewable-powered data centers in a world starving for AI power - BTC mining still a strong cash hedge - Analyst consensus: Strong Buy, avg PT ~$80 (highest is $136) → HUGE upside from today’s $38 Bear case/risks: - Execution delays on GPU deployments & energization (e.g., Sweetwater) - Recent dilution from $2.3B raises + potential more If they hit 90%+ of guidance, it’s an easy triple from here. Like most stocks, yes there are risks, but $IREN is a very high-reward play in the AI infrastructure boom. Watching Feb earnings closely. DYOR / NFA – what's your take on $IREN for 2026 ? rocket lightning PS. A very HAPPY NEW YEAR to everyone love Patience should reward you well When you look at the whole of 2025, it’s still been an awesome year… 290% + I disagree, it’s not all priced in… the market is still waiting to see if IREN can execute in the AI space as well as it did with BTC mining. Once IREN can do that, there’ll be a large rerating If they execute, $70-80 is bearish We can all be wrong

URL: https://x.com/TheBigDegen/status/2006110119940223449

Pitch Summary:
@michaeljburry shares a new write-up on Molina Healthcare (MOH), framing it through an “insurance-company lens” rather than a typical healthcare-services lens. He argues that mispricing often persists in insurance-like businesses because most investors don’t do the work to understand the economics beneath the reported financials. The post sets up MOH as a potentially “special” situation akin to past compounding opportunities found in misunderstood insurers. The implied catalyst is analytical, not event-driven: as the market recognizes underlying owners’ earnings power and return profile, valuation can normalize. He emphasizes that estimating sustainable earnings and growth requires deeper work for financial-style models than for typical operating companies. The key risk, by implication, is that investors misread the business because they don’t understand how to underwrite insurance economics, leading to mistakes on true profitability. The pitch is bullish because he suggests MOH may be inefficiently priced due to complexity and investor misunderstanding.

BSD Analysis:
Managed care is effectively an underwriting business with a healthcare delivery wrapper: the core value driver is sustainable margin on premium (MLR discipline), risk adjustment execution, and pricing adequacy across Medicaid/Medicare/Marketplace books. When these models work, they can compound via enrollment scale and operating leverage; when they don’t, utilization shocks and rate mismatches can destroy earnings quickly. The market typically discounts visibility because medical cost trends and acuity normalization are hard to forecast, and regulatory rate setting can lag reality. The diligence crux is whether MOH’s current earnings represent mid-cycle underwriting profitability or a transient benefit from favorable mix/reserve development. Competitive positioning hinges on state relationships, bid discipline, provider contracting, and data-driven care management rather than classic “moats.” A buy-side underwriting should stress medical trend, acuity, and rate updates by state and program, then test normalized EBIT per member against peer multiples. If normalized margins are defensible, the setup can look like a misunderstood insurer; if not, the “insurance” framing becomes a warning label for hidden volatility.

Actual Post Content:
Molina Healthcare: Ghosts of GEICO Past The MOH post is up. https://open.substack.com/pub/michaeljburry/p/molina-healthcare-ghosts-of-geico?selection=9a3f6f8e-a37d-450d-90c1-cebea977e2d0&r=4repfn&utm_medium=ios Finding a gem of an insurance company stock is not usually a lucky thing. Typically, it takes some digging and some talking, and a lot of learning. Most investors simply do not understand insurance companies well enough to invest in them. I have spent a few decades looking at them, and I think I have a handle on it, but there is some truth to my own old saying – to know what is going on inside an insurance company, one must be inside the insurance company. The warning is apt. This means if you can find a special one – like Warren Buffett found in his wildly successful GEICO investment long before the GEICO Gecko – then you are likely to find it rather inefficiently priced. On owners’ earnings and expected growth/ROI like any other company. It takes more work to estimate this with financial companies however.

URL: https://x.com/michaeljburry/status/2006073604639973825

Pitch Summary:
@hamids explains that he has doubled his Micron position and now holds about 6% of his portfolio because he believes Micron is exceptionally well positioned to benefit from sustained AI-driven demand for memory and storage. He argues that Micron’s products are “best of breed” and that customers have committed their entire 2026 production capacity. Using long-term earnings projections and a conservative price-earnings multiple (~25x), he suggests a fair value of $750–$1,000 per share by year-end 2026. The pitch also notes heavy investment in new fabrication capacity in 2027–2028 as a sign of expected continued demand. The main risk acknowledged is the cyclical nature of memory markets, but he believes AI’s structural demand could alter typical cycles. The stance is decisively bullish, anchored in assumed earnings growth and valuation expansion.

BSD Analysis:
Memory markets historically exhibit cyclicality driven by supply/demand imbalances; capturing secular demand from generative AI and inference workloads could fundamentally reshape the depth and duration of memory cycles. Micron’s advantage lies in its scale, advanced nodes, and integration into AI hardware BOMs, but its returns still depend on capital intensity, wafer cost curves, and competitive pricing pressure from DRAM and NAND peers. Execution risk is non-trivial: fabs coming online in 2027–2028 must ramp efficiently without dilutive delays, and inventory arbitrage cycles must be managed prudently. The implied 100% revenue growth is plausible only if AI silicon adoption accelerates beyond base expectations across training and inference, and if Micron retains share vs competitors. The bull case hinges on structural demand outpacing capacity additions, allowing pricing power and margin expansion; the bear case remains traditional memory oversupply dynamics that could compress pricing even in a growth scenario. As a result, the investment should be underwritten as a high-beta play on AI demand and memory cycle normalization rather than a low-volatility compounder.

Actual Post Content:
Purchased 100.00% more shares at $294.66. MU is now 6.18% of portfolio. As I’ve looked more into $MU, I continue to get more excited about the opportunity and I'm doubling my investment in Micron! Here is a summary of my thoughts: 1) Investment in AI will continue at current levels (or even higher levels) in coming years. 2) That demand means there will be continued demand for fast memory and fast storage systems to go along with AI chips. Micron appears to have the best of breed products in these spaces. 3) Micron’s lead appears to be solid enough to where customers have committed to their ENTIRE 2026 production capacity! This is incredible! 4) Based on expected 2026 revenue/profits, it appears that Micron will grow revenues near 100% from 2025 levels and profits will grow even more! Analyst estimates are that profits will be in the $30–40 per share. If MU maintains the same ~25 PE (which is conservative!) but produces $30–$40 of EPS, it would have a stock price of between $750–$1,000. 5) Micron is also investing heavily in fabs that will come online in 2027 and 2028, meaning they expect the demand and growth to continue and be supply-constraint for the foreseeable future. 6) The biggest concern of investors appears to be that "memory has historically been cyclical." While that’s a good concern to have, nobody knows when this AI supercycle of growth will end and how big these companies will be at the end of this cycle.

URL: https://x.com/hamids/status/2006053450254278908

Pitch Summary:
@thexcapitalist argues Amazon is positioned as a top 2026 pick on the basis of dominance across three profit pools: e-commerce, cloud infrastructure, and digital advertising. The pitch highlights improving profitability, claiming net margins are expanding even as depreciation rises, implying operating leverage and better efficiency through the cycle. The valuation hook is simplicity: the stock is framed as inexpensive at roughly 18x operating cash flow, suggesting the market is underappreciating earnings power. The catalyst is external validation (Barron’s “top pick for 2026”) combined with the idea that a multi-engine business should compound regardless of which AI winners emerge. No explicit price target is offered; the argument is that the setup is attractive “from here” given mix and valuation. Risks embedded in the framing include the chance higher depreciation/capex persists longer than expected, cloud competition pressures margins, or retail profitability remains structurally capped by reinvestment. Overall, it’s a straightforward bullish call anchored in scale advantages and a cash-flow multiple re-rating.

BSD Analysis:
Amazon’s bull case ultimately rests on whether AWS re-accelerates sustainably while retail and ads continue to expand contribution margins—three businesses with very different competitive dynamics but shared data and distribution advantages. In cloud, the industry is effectively an oligopoly where product breadth and capex intensity determine share; the market will pay up only if AWS shows durable growth and margin resilience vs. Azure/Google, not just a short-term snapback. Retail is a scale game with logistics density advantages, but structurally requires ongoing investment; the key is whether automation and fulfillment optimization translate into persistently higher North America operating income without sacrificing delivery speed. Advertising is the quiet margin lever—high incremental profitability tied to first-party shopping intent—so continued ad mix shift can lift consolidated margins even if retail stays competitive. Depreciation and capex matter: the “cheap on cash flow” claim can be a mirage if AI-era infrastructure spend keeps stepping up, delaying true free-cash-flow inflection. The right underwriting lens is normalized mid-cycle owner earnings after maintenance capex, with scenario work around AWS growth, ad contribution, and retail unit economics. The biggest risks are prolonged capex, cloud price competition, and regulatory noise, while upside comes from margin compounding across ads + AWS with retail efficiency gains.

Actual Post Content:
$AMZN is Barron’s top pick for 2026. - Leader in e-commerce. - Leader in cloud computing. - Third largest digital ad business. Net margin is expanding despite higher depreciation. It’s just valued at 18x operating cash flow now. Why wouldn’t it work from here? My strategy plan! Show more I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join Copy search input Reply “555” to WhatsApp: +13348201744 Here’s the link : https://api.whatsapp.com/send?phone=13348201744&text=Getthelatestplans My strategy plan! Show more... I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join Here’s the link linkhttps://api.whatsapp.com/send/?phone=15302623329&text=Markettrading.plan&type=phone_number&app_absent=0

URL: https://x.com/thexcapitalist/status/2006064018062995815

Pitch Summary:
@justfactstruth argues that FTAI Aviation is unlocking a major new growth vector by repurposing runout CFM56 aircraft engines into aeroderivative turbines for AI data centers. The thesis centers on the launch of FTAI Power, which targets 25MW turbine units designed to meet surging AI-driven electricity demand. The author frames the opportunity as highly additive, citing a planned ramp to over 100 units per year starting in 2026 at roughly $25M per unit with approximately 40% EBITDA margins. At scale, this could translate into roughly $750M to $1B of annual EBITDA from this segment alone. Valuation upside is framed both through EBITDA multiples and a conservative discounted cash flow approach. The author estimates $88–110 per share of incremental value using a 12–15x EBITDA lens. Even under a more conservative 5–7 year DCF, the implied value range is still materially above current levels.

BSD Analysis:
The conversion of retired aircraft engines into aeroderivative power assets positions FTAI at the intersection of aerospace aftermarket economics and AI infrastructure demand. Aeroderivative turbines offer faster deployment and higher efficiency relative to traditional heavy-duty gas turbines, which is increasingly valuable given grid bottlenecks. The strategic advantage lies in FTAI’s access to a large installed base of CFM56 engines and in-house technical capabilities. Execution risk remains meaningful, particularly around production scaling, customer adoption, and long-term service economics. Competitive responses from OEMs and alternative power solutions could compress margins over time. However, if data center demand continues to outpace grid expansion, near-term pricing power could be substantial. The durability of the upside depends on contract structure, service attach rates, and capital intensity relative to returns.

Actual Post Content:
Starting to get it……but $750mm EBITDA at 12-15x is 9B - 11.25B EV or $88-110 per share of incremental value… $FTAI First the $PLTR partnership and now FTAI officially enter the AI Data Center race Excited about FTAI Aviation’s launch of FTAI Power: converting runout CFM56 engines into 25MW turbines for AI data centers. Starting 2026 with a 100+ units/year at $25M each and 40% EBITDA margin. This new additive business alone can generate ~$1B in annual EBITDA. Not sure if 12-15X EBITDA or DCF is better so let’s be conservative… Using a 5–7 year DCF, this implies a valuation range of $63–97 per share, depending on growth and terminal assumptions.

URL: https://x.com/justfactstruth/status/2006057209466081632