Pitch The PM

PitchThePM

Pitch The PM is the professional investor’s podcast where host Doug Garber dives deep into high-conviction stock ideas using his Variant View Investment Checklist. It’s a real-time look at the research process, blending lessons from Buffett, Munger, and Lynch with modern AI tools. Join Doug, ex-Citadel top analyst and Millennium Sr PM, as he works through his Buffett-inspired 20-slot punch card. Learn, laugh, and sharpen your edge.

  1. 20h ago

    EP.47: Activist Investor Pushing for an Epic Turnaround at Eagle Bancorp ($EGBN)

    My former colleague and banking guru, James Abbott, is living his passion with the launch of Diligence Capital Management (DCM). DCM runs a concentrated, net-long financials strategy alongside a tighter-net long/short financials portfolio. James and his team bring more than 50 years of combined experience in financial services—and a deep understanding of how banks operate, where they underperform, and what it takes to improve them. In this episode, James explains why DCM became actively involved with Eagle Bancorp ($EGBN), how he identified an underperforming bank in need of change, and why he believes the market is still underestimating its earnings power. We also discuss lessons from the 2008 financial crisis and the collapse of Silicon Valley Bank, as well as why spending time inside a business can create an investing edge that is difficult to replicate from the outside. "My goal was to be a portfolio manager just like Peter Lynch."  "The market just doesn't really appreciate what's going on here."  "The deep homework concept... go deeper than anybody else does."  "The company should be earning about $6 a share."  Stocks: $EGBN, $ZION  Not Investment Advice.  ______________________________________________________________________ [00:00:00] Introduction to James Abbott and the Eagle Bancorp investment thesis  [00:02:14] How a Peter Lynch article inspired James Abbott’s investing career  [00:03:46] Early career experiences at SNL Financial and FBR  [00:05:44] Reflections on FBR’s research culture and working alongside Dan Ives  [00:07:03] Lessons from generating positive returns during the 2008 financial crisis  [00:08:07] Moving from the sell side to executive leadership at Zions Bancorporation  [00:09:17] Building a significant ownership stake in Zions through personal investment  [00:10:28] Founding Diligence Capital Management and launching the firm  [00:11:46] The impact of Silicon Valley Bank’s collapse and banking sector contagion  [00:13:43] How market narratives and deposit flows can pressure banks  [00:15:02] Diligence Capital Management’s portfolio construction and leverage approach  [00:16:22] Activist investing through special purpose vehicles and concentrated opportunities  [00:16:37] Why Eagle Bancorp became a high-conviction investment  [00:17:48] Assessing Eagle Bancorp’s earnings power and excess capital  [00:19:09] Concentration risk and the challenges facing Eagle Bancorp  [00:20:47] Commercial real estate exposure and concerns around stale loan-to-value metrics  [00:22:31] Insights into bank credit quality, appraisals, and regulatory oversight  [00:24:35] Recommendations to strengthen Eagle Bancorp’s board composition  [00:27:32] Office loan concentration and portfolio risk management  [00:29:57] The process of engaging management and advocating for change  [00:31:51] Corporate governance reforms and separating the chairman and CEO roles  [00:34:22] Historical governance challenges at Eagle Bancorp  [00:36:09] Proposed board additions and turnaround expertise  [00:37:14] The push for a three-year performance improvement plan  [00:38:48] Market reaction to credit loss reserves and the stock’s recovery  [00:40:27] Why Diligence Capital believed the market mispriced Eagle Bancorp  [00:41:14] The path to achieving $6 per share in earnings power  [00:42:20] Closing thoughts on activism, value creation, and the future of Eagle  ______________________________________________________________________ Pitch The PM Episode Links: Doug Garber on LinkedIn: https://www.linkedin.com/in/doug-garber-42aa508  📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠ James Abbott on LinkedIn: https://www.linkedin.com/in/james-r-abbott-investor   This episode is powered by: 💡Oxford Data Plan: Request a Demo 💡AlphaSense: Request a Demo

  2. Aug 13

    EP.46 He Trained Bryce Young Before Anyone Knew the Name — Then Built the Fastest-Growing Independent Research Platform on Wall Street

    I met Tim Arthurs, the second week when I joined Millennium and knew he was an “A” player. He still has notes from every time he called me on a stock. He’s a process guy. And it has led to his success.  He founded Seaport Research Partners, which has become the fastest-growing independent equity research platform by attracting the top research analysts and empowering them with aligned incentives. Early in his career, he moonlighted as a QB coach for Heisman winner and #1 overall pick Bryce Young teaching him the importance of the right motion and process.   “What have I learned from some of my biggest failures is keep getting up. You're bendable, you're not breakable” "You can't be a big man at night and a little man in the morning" We cover: The Bryce Young story — a Craigslist posting, a dad who lied about his kid's age, and six months of tennis balls and candy wrappers before he ever touched a football. It starts with good habits The MiFID II unlock: how unbundling and vote/rate-card transparency exposed what individual analysts are actually worth — and made an eat-what-you-kill platform possible for the first time The brutal math of the sell side: ~3,500 published analysts in North America, and two-thirds of coverage is "watered-down, check-the-box" — subsidized by banking and syndicate How Seaport recruits the top 1% of the 1%: never a recruiter, 550+ interviews, ~40 offers, 30+ conversions — the clients feed the talent The reference-check questions that actually work: "When did they make you money?" and "What's a 60-minute meeting with them worth?" — asked across 20-30 buy-siders until the trend is undeniable The 3-step analyst checklist: investment judgment (best call, worst call, the consensus view you think is wrong), research edge (what do you produce that clients can't get elsewhere — and what's proprietary in the process), and client franchise (your top 15 advocates who raise their hand no matter what) The salesperson hierarchy: good salespeople are concierge, great ones sell outcomes — "we get paid to anticipate, not analyze" — and the cream of the crop sell feelings: becoming an extension of the client's investment process "You can't be a big man at night and a little man in the morning" Why analysts leave the bulge: "Why do I get comped down 10-15% a year when my franchise wasn't down?" — and what they control at Seaport: coverage, distribution, pricing, input and output The three-stage distribution model: ~400-500 readership, top-100 tactical, top-40 opt-in Proof of concept: #1 global market-share gainer at some of the biggest wallets on the planet, 3 → 30+ analysts in five years, and only one analyst ever lost The next five years: the best 45 analysts in the U.S., replicating the model in Europe and Asia, and filling the void the bulge brackets left Triathlons, 1,440 minutes a day, and the 5% you owe yourself — plus the cause closest to home: the Epilepsy Foundation of Chicago and his daughter Athena _______________________________________________________________ 💡 This episode is powered by Fiscal.AI - Delivering Modern Financial Data Infrastructure Pitch The PM Episode Links: Doug Garber on LinkedIn: https://www.linkedin.com/in/doug-garber-42aa508  📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠ Links: Tim Arthurs on LinkedIn: https://www.linkedin.com/in/timothy-arthurs-06b3179/ Seaport Research Partners: https://seaportrp.com/ Seaport Global: https://seaportglobal.com/ Chicago Epilepsy Foundation: https://epilepsychicago.org/

  3. Aug 11

    EP.45 Palantir ($PLTR): Is the Leading Growth Rate Sustainable? With Gil Luria, Head of Technology Research at D. A. Davidson

    Gil Luria and I dig into the bull case after another blockbuster quarter with 93% YoY growth. The reason Palantir wins is their head start on building an enterprise-wide ontology, unconventional usage of forward-deployed engineers in their SaaS model, and customer-aligned, outcome-based pricing. We debate $PLTR’s valuation, future growth trajectory, and AI-driven software budget crowd-out. “Retail investors figured it out first, bid it up all the way to $200. Institutional investors were always caught a step behind, including most of the sell side.” “The bull case is that the stocks’ valuation is now, 50x forward cash flow, not $200, 2% yield, and they're growing 90%, 93% up from 85% last quarter”  “They get to cherry pick customer, deliver results, and win. (8:24) That's when we learned over the last year.” “This is the best software company in the world. Maybe the best company in the world.” Stocks mentioned: $PLTR, $AI, $IBM, $MSFT, $NVDA, $SNOW, $DDOG, $CRWD, $SHOP *Not Investment Advice. Disclosure: The author has a short position in PLTR as of the episode recording; that may change at any time.  ______________________________________________________________________ Highlights: (1:26) Palantir accelerates — 93% U.S. commercial growth and strong government demand. (2:18) How Gil went from valuation skeptic to calling Palantir one of the world’s best companies. (5:13) What makes Palantir different: forward deployed engineers, ontology, AI and outcome-based pricing. (8:26) How Palantir delivers customized solutions at scale. (9:06) Why its engineering talent and brand are hard to replicate. (10:34) Ontology explained — mapping company data to how the business works. (13:29) Palantir’s post-9/11 origin story and original problem. (15:23) A 157% net retention rate and expansion within large customers. (16:42) Why Palantir’s chief revenue officer came from a legal background. (17:48) Gil’s valuation framework: Palantir deserves a premium to software peers. (19:42) Why Palantir customers may be seeing unusually strong AI returns. (21:43) Enterprise AI shifts from structured to probabilistic unstructured data. (23:46) How AI spending is crowding out other technology budgets. (26:48) From GPU hours to tokens to cost per task — AI economics move toward labor. (29:10) Why AI-driven productivity could lead companies to hire more people. (30:29) How AI compressed Gil’s research workflow from weeks to near real time. (35:06) Gil’s AI stack and Microsoft as D.A. Davidson’s enterprise control plane. (37:41) Are companies handing proprietary advantage to frontier AI models? (38:38) Palantir’s sovereignty pitch and risks of relying on one frontier model. (42:45) Why Palantir prefers model flexibility and NVIDIA’s Nemotron models. (43:52) NVIDIA’s strategy: coordinate the AI ecosystem, not just sell chips. (46:08) The Palantir bear case — extraordinary growth eventually decelerates. (48:02) Why slower growth could still support a larger future cash-flow base. (50:35) Why Gil’s Palantir estimates remain close to consensus despite his bullish view. (52:14) The institutional-investor problem: limited revenue disclosure. (53:49) Gil’s belief in Palantir’s mission. (54:04) Doug summarizes the bull and bear cases: ontology, engineering, valuation, and deceleration. ______________________________________________________________________ 💡 This episode is powered by AlphaSense. Use the link here for Complimentary access — https://www.alpha-sense.com/Pitch/💡 Fiscal.AI - Delivering Modern Financial Data Infrastructure Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠Doug Garber on LinkedIn for daily market color: : https://www.linkedin.com/in/doug-garber-42aa508  Gil Luria Links:DA Davidson: https://www.dadavidson.com/ Gil Luria on LinkedIn: https://www.linkedin.com/in/gil-luria-79347a2/ Gil Luria on X: https://x.com/gilluria

  4. Aug 6

    EP. 44 - She Quit at 29 With No Code, No Co-Founder, No Funding – Now Hudson Labs Is Finance AI that has a “No Hallucination Guarantee”

    She Quit at 29 With No Code, No Co-Founder, No Funding – Now Hudson Labs Is Finance AI that has a “No Hallucination Guarantee” Kris Bennatti (@)  CEO Hudson Labs (Toronto), a former forensic-accounting data scientist who built the first LLM for finance, back in 2019 before anyone knew what to make of it. Her co-founder/CTO Suhas Pai literally wrote the book – O'Reilly's "Designing Large Language Model Applications." "If you try to pull multi-period KPIs beyond four quarters with a generalist tool, you'll get one wrong number 30% of the time." We cover: The leap: quitting a great job at 29 with no funding, no co-founder, and not one line of code written  "those choices are just a reflection of poor risk assessment capabilities" The first hard lesson: the academic papers claiming AI could predict fraud were poisoned by target leakage, the training data contained the outcome. The product she quit her job to build didn't work, and she rebuilt from scratch The forensic risk score: 70+ means a one-in-three chance of an SEC enforcement action within three years and 3x the likelihood of a securities lawsuit  used by investors, D&O insurers pricing risk, and plaintiff-side class-action firms. "We specialize in selling to the enemy." Why generalist LLMs hallucinate on financial numbers: effective context length vs the advertised window, the two-to-three-earnings-calls attention limit, and why hallucination is really LLM memory bleeding into real data The Hudson Labs answer: AI-specific pre-processing of every filing, transcript, and presentation retrieve the whole table, the units, the currency, consolidated-vs-segment and a no-hallucination guarantee, the first of its kind Tone as a screen: find the most stressed-out CEOs, the most confident CFOs, track deflection on analyst Q&A over time  impossible unless tone is stored in the embeddings The soft-guidance problem: why "capex is now expected to be…" slips past generalist AI, and the pathways built to never miss a guidance cue The server useful-life screen: every hyperscaler raising estimates in a follow-the-leader wave and Amazon as the only one to cut The cost story nobody's pricing: a 500-company AI-ecosystem deep dive that cost $200 on Hudson Labs vs ~$13,000 on a frontier-model API at lower accuracy  and why cost efficiency becomes the tailwind as subsidies fade The business today: ~100 hedge fund clients plus Fortune 100s, insurers, and law firms and a new $100/month tier Highlights:  (1:13) Quitting at 29 with nothing but the problem (5:34) The target-leakage discovery — the papers were wrong (9:46) Suhas Pai — the co-founder who wrote the book (13:10) How Hudson Labs differs from the AI-startup wave (15:30) Why generalist LLMs get numbers wrong — context and attention (23:24) The worst strategic decision — and pivoting when short sellers shrank (28:21) Demo: KPIs with verbatim call commentary, no hallucinations (35:30) The infrastructure behind the guarantee (39:34) Tracking Waymo vs Uber when the stats aren't standard (46:39) The forensic risk score — and Meta's rising off-balance-sheet risk (52:00) The server useful-life wave — everyone up, Amazon down (55:14) $200 vs $13,000 — the deep-dive cost math (57:00) The next three years and the new $100/month tier ______________________________________________________________________ 💡 This episode is powered by: Fiscal.AI: Contact Sales Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠Doug Garber on LinkedIn for daily market color: : https://www.linkedin.com/in/doug-garber-42aa508  Hudson Labs Links:Kris Bennatti: https://www.linkedin.com/in/kbennatti/  Hudson Labs: https://www.hudson-labs.com/

  5. Jul 30

    EP.43 - SpaceX ($SPCX) Irrational Exuberance? Space Winner or Street 50% Too High

    "Our numbers are not even half of consensus. Treat the syndicate's number as an extremely optimistic bull case." "We think we're already very optimistic—but consensus is even more optimistic." "Launch is what makes 100% of the value of SpaceX." "Frontier AI is building very high barriers to entry." "Everybody wants to be part of the SpaceX story." Pierre Ferragu, Head of Tech Infrastructure at New Street Research, joins the show to break down SPCX’s sum-of-the-parts valuation and the key debates in the stock. We dig into: Why Starlink has a structural cost advantage over traditional broadband. The tell is that Starlink is already sold out in places: raising prices in capacity-limited markets while adding 0.5-1M subs a month — which is why the V3/Starship ramp is now the gating factor. The Starship launch being the next catalyst. The model needs ~1 Starship launch a week; New Street runs ~1 year behind Elon's timeline — a reminder that Musk's targets have a "world-class track record of being late but delivered" The xAI valuation framework: a ~$575B base value from a $750B-$1T 2030 market at ~15% share (on Anthropic/OpenAI's ~4.6x 2030 revenue) — and why it's a balanced oligopoly, not winner-take-all, so no one gets to run away with it. The spot-vs-planned compute arb: ~$50B/GW (the $15B / 0.3GW Anthropic deal) vs CoreWeave's ~$12B/GW — and why that premium may not last. The setup that should keep you honest: consensus was built on Elon-optimism to sell the deal; the stock will trade quarter-to-quarter on "where there's light" (Starlink subs, Starship launches), through 6-12 volatile months of lockup unwinds and index inclusion.  The Debate: Overly optimistic earnings revisions vs a cost advantage in the space frontier led by the great entrepreneur of our time, Elon Musk This episode was originally a Pitch The PM webinar sponsored by Alpha Sense on June 22nd. Get free access to all of our webinars on our substack Stocks: $SPCX, $TSLA Topics: SpaceX, Starlink, Starship, xAI, Frontier AI, Space Economy, Satellite Internet, Launch Economics, Artificial Intelligence, Infrastructure Investing *Not Investment Advice _____________________________________________________________ [00:00:00] Introduction to Pierre Ferragu, New Street Research, and why the firm is uniquely positioned to analyze SpaceX.[00:03:59] How New Street frames the SpaceX investment thesis for institutional investors.[00:06:32] SpaceX sum-of-the-parts valuation: Starlink, Direct-to-Cell, Launch, and xAI.[00:10:05] Why Starlink has a major cost advantage over traditional broadband.[00:15:49] Starlink pricing, subscriber growth, and global expansion.[00:20:23] Pierre’s firsthand experience using Starlink.[00:23:10] Valuing Starlink and its long-term free cash flow potential.[00:27:36] Why Starship is the most important catalyst for SpaceX.[00:37:22] How SpaceX disrupted the launch industry.[00:44:25] Pierre’s valuation framework for xAI and Frontier AI.[00:53:56] Meta, open-source models, and Chinese AI companies.[00:57:19] Why xAI can command premium pricing for compute capacity.[00:59:36] Pierre’s variant view versus Wall Street consensus.[01:01:04] What investors should watch after the IPO.[01:02:45] Pierre’s outlook for SpaceX shares. _____________________________________________________________ 💡 This episode is powered by: AlphaSense: Request a Demo Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠ Follow Doug Garber on LinkedIn for daily market color: https://www.linkedin.com/in/doug-garber-42aa508

  6. Jul 23

    EP. 42: Building Data-as-a-Service using AI tokens–Making Decisions on Complete Gut!

    "Our data is powering the infrastructure of this massive new market."  "Building Data-as-a-Service is a very, very hard business."  "difficult problems have big rewards" "You're making decisions on complete gut."  Braden Dennis is the true definition of an entrepreneur. He started a podcast in his college dorm room and now runs an industry leading Fintech. Fiscal.ai has pivoted three times since inception and is now focused on building the latest generation financial data company using delivery speed and rapid product iteration as its competitive advantage. Companies mentioned: Google Finance ($GOOGL), Claude, OpenAI, Bloomberg, Fiscal AI, Perplexity. Thank you to Fiscal.AI, our sponsor of the Wall Street Entrepreneur series! ______________________________________________________________________    Highlights [00:00:18] Introduction to Braden Dennis and Fiscal AI [00:01:44] Braden Dennis's investing background and early podcasting journey [00:02:58] Influential investing books and lessons that shaped his entrepreneurial approach [00:05:27] Overview of Fiscal AI's financial data business and competitive advantages [00:07:29] Origins of Stratosphere and the launch of FinChat [00:08:39] FinChat's viral growth following the release of large language models [00:11:09] Raising seed capital and demonstrating early startup traction [00:11:27] Product-market fit and the importance of rapid iteration [00:13:22] Advice for founders on fundraising and seed-stage milestones [00:15:26] Why the company shifted from a retail investing platform toward data infrastructure [00:16:07] Building proprietary financial datasets and owning the underlying content [00:19:11] Transitioning from software subscriptions to B2B data feeds [00:20:00] Startup decision-making, uncertainty, and operating on imperfect information [00:21:59] Startup moats, competition, and scaling from zero to one [00:24:09] Customer retention, activation, and key business metrics [00:25:52] AI infrastructure, token usage, and building data products at scale [00:28:32] Product roadmap, data coverage expansion, and competitive positioning [00:30:18] MCP integrations and delivering financial data directly into AI workflows [00:31:36] Global data coverage, ownership data, transcripts, and company KPIs [00:34:22] Total addressable market for financial data and long-term revenue goals [00:36:40] Scaling from $10 million to $50 million in annual recurring revenue [00:38:41] Creating a news product focused on signal rather than noise [00:42:36] Managing emotions and maintaining perspective as a founder [00:43:23] Leadership lessons and the risks of impulsive decision-making [00:44:18] Demonstration of Fiscal AI's terminal, API, and investor tools [00:46:37] AI-powered research workflows using Claude, Codex, and MCP integrations [00:49:27] Data ownership, model training, and the value of accurate financial information [00:53:00] Handling adjusted financial metrics and analyst workflows [00:53:58] Building custom investor dashboards and the future of AI-assisted research  ______________________________________________________________________ Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠ Doug Garber on LinkedIn: https://www.linkedin.com/in/doug-garber-42aa508  Fiscal.AI Links: Braden Dennis on LinkedIn: https://www.linkedin.com/in/braden-dennis-881a88b0/   Fiscal AI - https://fiscal.ai/

  7. Jul 20

    EP.41: Student Stock Competition Winners: Is the Magic Show Over? $HAS Short Pitch

    "When I see short interest go up into the right... I want to dig deeper." "We came in as a long at first... then we followed the evidence to get to the short side." "Magic has been the crown jewel of the company—but we think expectations have gotten too high." [Using Carbon Arc data] “average weekly users on the app through quarter to date to q2 it's down 11 percent” "You have to be intellectually honest. You can't just ignore evidence because it doesn't support your thesis." Glenn and Vito won both the Fordham and Notre Dame Stock Pitch Competitions with a contrarian short thesis on Hasbro ($HAS). What began as a long idea quickly turned into a short after they dug into Magic: The Gathering, channel checks, local game store surveys, player sentiment, and Wizards of the Coast's product strategy. In this episode, they walk through the full research process behind their pitch, discuss why they believe Magic's recent growth is unsustainable, and explain how primary research, financial modeling, channel checks, and alternative data on Carbon Arc helped shape their view.  Stocks: $HAS *Not Investment Advice  Disclosure: I have a short position. That may change at anytime.  ______________________________________________________________________    [01:00:00] Introduction to Glenn Lee and Vito, winners of the Fordham and Notre Dame Stock Pitch Competitions, and their Hasbro short thesis. [01:03:03] How the investment idea evolved from a long thesis into a short after deeper financial analysis. [01:05:54] The two pillars of the Hasbro short thesis: slowing Magic: The Gathering demand and weakness in consumer products. [01:09:18] Doug explains how to think about short interest, positioning, and identifying crowded trades. [01:11:39] Breaking down Hasbro's business segments and why Wizards of the Coast drives nearly all of the company's profitability. [01:15:41] Why Magic: The Gathering has maintained its competitive advantage for more than 30 years. [01:21:43] The Universes Beyond strategy and why the team believes it changes Magic's long-term growth profile. [01:23:04] Hasbro's recent growth, management expectations, and why the students believe Wall Street is too optimistic. [01:30:15] Doug's framework for continuously testing an investment thesis and remaining intellectually honest as new evidence emerges. [01:34:11] The research process behind forecasting Magic: The Gathering demand using channel checks and industry expertise. [01:36:35] How product releases and aggressive pricing have accelerated Magic's recent growth. [01:38:21] Survey results, player backlash, and the debate around the Universes Beyond product strategy. [01:43:19] Channel checks with local game stores and what retailer ordering patterns reveal about future demand. [01:52:26] Using secondary market pricing to measure player demand and forecast future Magic sales. [01:56:14] The key bull case for Hasbro, why attracting new players may not be enough, and the team's concluding thoughts on the investment thesis. ______________________________________________________________________ 💡 This episode is powered by: Carbon Arc: 30 Days Free with Code PITCHTHEPM30 AlphaSense: Request a Demo Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠Doug Garber on LinkedIn: https://www.linkedin.com/in/doug-garber-42aa508

  8. Jul 15

    EP.40: The Next Phase of the Oil Cycle: Why Refiners Win

    “These [oil] cycles, and we can get into it, they move up in three waves. They go doubt, pullback, optimism, a pullback, and then parabolic euphoria.” “The well count is starting to bottom out, and even as of the latest Texas Railroad Commission data that was just updating for this call, it looks like that's bottoming out too.” “So I think the best ones that is now front and center is obviously the refiners, and I still think that there's a lot left in the tank.” "If you go back and look at the mega tech capex... there is not one single metric around meeting a capital budget." Robert Connors, the author of Crude Chronicles and advisor to funds that manage over $1 trillion such as T. Rowe Price walks us through his bullish oil cycle call in great detail with all the supporting charts.  The logic is simple: well productivity is declining and the marginal cost of production is increasing. Therefore, oil prices are on the rise.  Drawing on more than a century of industry data gathered by hand at the Library of Congress, Robert explains how oil cycles are driven not just by supply and demand, but by long-term productivity trends, capital allocation, and marginal production costs. Stocks mentioned: PSX, MPC, VLO, CVX, XOM, BP, TTW, RIG, NE, DO, VAL ______________________________________________________________________    [00:00:00] Highlights  [00:00:26] Introduction to Robert Connors and his long-cycle approach to energy research.  [00:02:10] How the Iran conflict fits into Robert's three-wave commodity cycle framework.  [00:04:28] Why well productivity—not traditional supply and demand forecasts—drives long-term oil cycles.  [00:09:13] Evidence that U.S. shale productivity growth is slowing and what that means for future oil prices.  [00:11:38] Comparing productivity trends across Bakken, Permian E&Ps, and integrated oil companies.  [00:14:21] Where future global oil supply growth could come from beyond the Permian.  [00:18:15] Understanding marginal production costs and why they establish the long-term floor for oil prices.  [00:20:44] Robert's framework for estimating a sustainable oil price range despite geopolitical volatility.  [00:24:35] Why refining margins are driven by secondary processing capacity rather than simple utilization rates.  [00:29:50] Global refining capacity outlook and why Robert remains bullish on refiners.  [00:32:54] Similarities between today's AI infrastructure spending and previous shale investment cycles.  [00:36:41] Productivity cycles, technology investment, and the relationship between energy and growth stocks.  [00:39:54] Robert's preferred investment opportunities, including refiners, integrated majors, and offshore drillers.  [00:44:47] Why offshore drilling may be entering a favorable cycle with limited new rig supply.  [00:51:24] How executive incentive structures influence capital allocation and shareholder returns in the offshore sector.  [00:52:53] Where listeners can follow Robert Connors and Crude Chronicles.  ______________________________________________________________________ 💡 This episode is powered by: AlphaSense: Request a Demo Pitch The PM Links: 📩 Subscribe to our Substack for research updates and new high-conviction episodes from top PMs, and our Job Board: ⁠https://pitchthepm.substack.com/⁠Doug Garber on LinkedIn: https://www.linkedin.com/in/doug-garber-42aa508  Crude Chronicles Links: Robert Connors on LinkedIn: https://www.linkedin.com/in/robert-connors-cfa-cpa-oilinvestor/  The Crude Chronicles: https://thecrudechronicles.substack.com/

Ratings & Reviews

5
out of 5
9 Ratings

About

Pitch The PM is the professional investor’s podcast where host Doug Garber dives deep into high-conviction stock ideas using his Variant View Investment Checklist. It’s a real-time look at the research process, blending lessons from Buffett, Munger, and Lynch with modern AI tools. Join Doug, ex-Citadel top analyst and Millennium Sr PM, as he works through his Buffett-inspired 20-slot punch card. Learn, laugh, and sharpen your edge.

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