The Investor's Podcast Network
Stock investing lessons from the world's best investors.
Recent episodes
TIP846: Stock Picker: How to Live Off Your Portfolio w/ Ian Cassel
- Ian Cassel built a full-time private micro-cap investing career starting at age 16 with a $20,000 gift from his parents, reaching financial independence by 28 with a $2 million portfolio. - Most micro-cap winners have short "winning seasons" of 6–36 months and should be sold within that window, even if still appreciating, because these small businesses face concentration risk (key person, customer, geographic). - Ian maintains only 3–5% cash reserves to force disciplined portfolio turnover; he must sell his least-convicted position to fund new ideas, preventing the temptation to hold large cash or avoid selling mistakes. - The greatest stock pickers, including Buffett and Greenblatt, achieved peak returns during their highest-turnover years, contradicting the popular "buy and hold forever" narrative. - Ian launched Intelligent Fanatics Capital Management in 2019 after a decade as a full-time private investor, charging 1% management fee plus 20% performance for qualified clients, and benchmarks himself against the S&P 500—unusual transparency for micro-cap managers. - Personal mentorship and forgiveness are central to Ian's philosophy; he learned from Skip that you should only take advice from genuinely happy people who have already achieved what you're pursuing.
TIP842: Comfort Systems USA (FIX): The Five-Bagger We Passed On w/ Kyle Grieve & Shawn O'Malley
- Comfort Systems USA transformed from a boring regional contractor into a five-bagger since Sean's original $320 fair-value estimate, now trading near $1,800 per share. - The company has benefited enormously from AI and data center buildout, with electrical segment revenue growing 81% year-over-year and representing 29% of total revenue (up from 0.4% in 2017). - Organic same-store sales growth reached 26% in fiscal 2025 (vs. historical 3–4% range), driven by technology and data center demand, creating uncertainty about normalized growth rates going forward. - Surety bonding capacity and an expanding balance sheet give Comfort Systems a widening competitive advantage to pursue larger projects than regional competitors can access. - Returns on incremental invested capital have doubled to nearly 60% in trailing twelve months, demonstrating exceptional capital allocation even as the company scales acquisitions aggressively (six deals in 2025 vs. historical 1.5–2 per year). - Management has maintained disciplined acquisition multiples (~9x operating earnings), preserved negative net debt (now $1.8B cash, $53M debt), and ties executive compensation to EPS growth and free cash flow targets.
TIP841: Palantir – Palantir is Cheaper than I Thought! w/ Daniel Mahncke & Shawn O’Malley
- Palantir builds an "ontology" layer—a comprehensive data integration platform that connects fragmented information across organizations into a unified, actionable system that understands relationships, permissions, and workflows. - The company operates four platforms: Gotham (defense/intelligence), Foundry (commercial operations), Apollo (deployment engine), and AIP (AI platform) that dramatically improved onboarding efficiency and customer adoption. - Net dollar retention accelerated from ~100% in 2023 to ~160% in the latest quarter, driven by existing customers spending significantly more rather than rapid new customer acquisition. - Palantir achieved a Rule of 40 score of 155% (90% revenue growth plus 60% operating margins), roughly double the best software companies globally, representing exceptional operating leverage. - The company's moat stems from multi-month/year-long implementation processes, first-mover advantage with major clients, and execution excellence rather than easily replicable technology alone. - Alex Karp's ideological vision—rooted in Frankfurt School philosophy—frames Palantir as restoring American tech to national defense purposes, creating reputational and regulatory risks internationally but also clarity of mission.
RWH071: Risk, Ruin, Reinvention & Resilience w/ Victor Haghani
- Victor Haghani's family background shaped his approach to risk: born in New York to an Iranian Jewish father and American opera singer mother, he experienced displacement during Iran's 1979 revolution, which instilled both resilience and deep respect for financial stability. - His early career at Salomon Brothers (1984–1993) on the government arbitrage desk exemplified sophisticated, multi-layered relative value trading that combined mathematical rigor with practical market access—trades that required deep knowledge of financing, futures, and over-the-counter options simultaneously. - Long-Term Capital Management (1994–1998) achieved exceptional early returns (31.2% annually for four years) through convergence trades, but the 1998 Russian default sparked a cascading crisis that wiped out 90% of the fund's capital, despite positions that Haghani defends as ex-ante defensible on a risk-adjusted basis. - The core lesson from LTCM's failure was not that position sizing was reckless, but that Haghani held an inappropriate concentration of *personal wealth* in the fund (80% of liquid net worth plus management equity and human capital), a mistake in portfolio allocation rather than trading strategy. - Expected utility theory—the principle that investors should maximize expected happiness (utility) rather than expected wealth, accounting for the declining marginal benefit of additional money—underpins all sound financial decision-making and risk management. - After a 10-year sabbatical (1999–2009), Haghani shifted from attempting a "David Swenson" model of hedge funds and private equity to index-based investing, realizing alternatives were tax-inefficient and fee-heavy for individual investors; he founded Elm Wealth in 2011 to manage assets with dynamic allocation based on risk and reward.
TIP836: Exor NV (EXO): The Massive Discount Continues To Widen w/ Kyle Grieve & Shawn O’Malley
TIP835: Intuit (INTU): The S&P 500's Biggest Loser w/ Shawn O’Malley & Kyle Grieve
TIP834: DLocal (DLO): Multibagger Potential with Decade-Long Runway w/ Daniel Mahncke & Shawn O’Malley
RWH070: Hunting For Hidden Treasures w/ Christopher Begg
- Writing and synthesis as core investment practice: Chris emphasizes how writing forces compression of complexity into essence and serves as a disciplined method for developing investment philosophy. The process of articulating ideas on paper, especially for shareholders, creates accountability to a standard of excellence. - The consecration of attention: Rather than sampling broadly, Chris advocates for deep, sustained focus on subjects over 3-month periods, staying with topics until reaching what he calls "hard one simplicity." This contrasts sharply with modern information overload and trains intuition at the system-two and embodied levels. - Graphs, nodes, and edges as investment framework: Chris applies graph theory to understand businesses that benefit from increasing returns to scale. Companies like Alphabet, Amazon, Tesla, and SpaceX are examined through this lens—as networks that strengthen as more nodes and edges populate them. - Moat deconstruction with eight layers (IMMORTAL framework): For software specifically, Chris identifies eight competitive-advantage layers—Interface, Motion, Memory, Orchestration, Resilience, Trust, capital allocation, and Learning—which together spell IMMORTAL. Deep moats are characterized by dense interdependencies difficult to rewire. - Clouds as misperceptions: Chris systematically identifies temporary clouds of uncertainty (regulatory risk, competitive disruption fears, market narrative) separate from permanent competitive dynamics. The gap between perception and evidence is where mispricing occurs and alpha is generated. - Trust as a long-duration asset and source-built philosophy: Trust compounds over time, creating super-nodes that coordinate capital and goodwill. Source-built structures (aligned with first principles and nature) create enduring value. Examples include cathedrals, Berkshire Hathaway's culture, and exceptional operator-led businesses. - Writing and synthesis force compression of complexity; disciplined articulation for shareholders creates accountability to excellence standards. - Consecration of attention—deep three-month dives on subjects—trains embodied intuition and builds a mental architecture for retaining and connecting knowledge, the opposite of omnidirectional sampling. - Graph theory applied to investing: businesses strengthened by node-and-edge multiplication (Alphabet, Amazon, Tesla, SpaceX) experience increasing returns to scale, not diminishing returns. - Eight-layer moat framework (IMMORTAL for software): Interface, Motion, Memory, Orchestration, Resilience, Trust, capital allocation, Learning—dense interdependencies create enduring competitive advantage. - Clouds separate misperceptions from reality; the gap between perception and evidence is where alpha lives. Examples: AI disrupting Google search (perception) vs. rising search volumes with AI (reality). - Trust compounds into super-nodes; source-built structures (aligned with first principles, nature) create durable value across cathedrals, Berkshire culture, and exceptional operator-led businesses.
TIP833: Perimeter Solutions (PRM): A Niche Monopoly, One Acquisition at a Time w/ Kyle Grieve & Shawn O’Malley
TIP832: Fairfax Financial (FFO.TO): The Berkshire Of The North w/ Kyle Grieve & Shawn O'Malley
TIP831: Pinduoduo (PDD): Is PDD the Best Buy in China? w/ Daniel Mahncke and Shawn O'Malley
TIP830: SpaceX (SPCX): Is It Really Worth $2 Trillion Dollars? w/ Kyle Grieve & Shawn O'Malley
TIP829: Kaspi Stock ($KSPI): The Cheapest E-Commerce Monopoly in the World w/ Daniel Mahncke and Shawn O'Malley
TIP828: Restoration Hardware (RH): Building a Luxury Empire From Scratch w/ Shawn O'Malley and Daniel Mahncke
TIP827: Auto1 Stock (AG1): Is This the Amazon for Cars? w/ Daniel Mahncke & Shawn O’Malley
TIP826: American Tower (AMT): The Wide Moat Business Your Phone Can't Live Without w/ Kyle Grieve & Shawn O'Malley
- American Tower owns roughly 150,000 cellular towers globally and leases them to wireless carriers (AT&T, Verizon, T-Mobile) under long-term contracts with annual escalators, creating highly recurring revenue. - The business exhibits exceptional operating leverage: adding a second or third tenant to a tower dramatically increases margins (from 40% gross margin with one tenant to 83% with three) because land and structure costs are fixed. - AMT possesses three distinct competitive moats: cornered resources (exclusive real estate parcels requiring billions and decades for competitors to replicate), multi-tenant economies of scale (margins expanding from 58% EBITDA in 2016 to 64% today), and high switching costs (customers face complex decommissioning and network disruption if they leave). - The company's REIT status legally requires it to distribute 90% of taxable income to shareholders, forcing reliance on debt financing for growth—leverage has doubled from 3x net debt-to-EBITDA in 2017 to 5x today, with $37.3 billion in total debt. - Key risks include telecom carrier consolidation (T-Mobile/Sprint merger and Indian market collapse caused material churn), customer concentration in the US (three carriers dominate), satellite internet (viewed as complementary for rural areas, not a direct threat), and recent payment disputes (Dish defaulted on ~$200 million annually; Mexico's AT&T withheld ~$300 million). - At current prices (~19x EV/EBITDA), intrinsic value analysis suggests AMT delivers ~9% forward returns—in line with historical ROIC of 8–11% but offering minimal margin of safety for a mature, highly leveraged business.
TIP825: Meta, Adobe, Booking Holdings w/ Stig Brodersen, Tobias Carlisle & Hari Ramachandra
TIP824: Copa Holdings (CPA): Is Buffett Right About Airline Stocks? w/ Daniel Mahncke & Shawn O’Malley
TIP823: From Railroads to AI: The Timeless Patterns Behind Market Bubbles w/ Kyle Grieve
- Bubble formation mechanics: Bubbles are driven by human psychology (greed, fear, FOMO) rather than technology itself. They follow predictable patterns across centuries—from plank roads in the 1850s to Beanie Babies to the tech bubble—making pattern recognition a practical risk-management tool. - Kindleberger's five-stage framework: Displacement (triggering event), overtrading (volume spike), monetary expansion (easy credit), revulsion (initial pop), and discredit (sentiment reversal). Insana refines this with five bubble ingredients: Eureka moment, easy money, government largesse, favorable economic conditions, and external stimulant. - Why investors rationalize bubbles: New generations believe they're smarter than predecessors; career incentives push fund managers to own hot stocks; investors invent useless KPIs (page views, user growth) when fundamentals don't exist; herd behavior drowns out skeptics. - Historical case studies: Yahoo required 18 billion customers to justify its peak valuation; RCA stock multiplied 120x (1923–1929) while trailing P/E expanded from 15x to 285x despite solid 35% annual EPS growth; plank road companies promised 10–40% dividends but delivered 0.7% and capital destruction. - AI bubble assessment using Insana's framework: AI has Eureka moment, easy money (though rates higher than 2020), and government support (CHIPS Act). But economic conditions are weaker (2.1% GDP growth, 4% unemployment), and mass public participation hasn't yet peaked in IPO markets. Private deals (Thinking Machines at $50B without product) show speculative froth. - Protective strategies: Cap exposure to narratives; verify winners compound intrinsic value, not just multiple expansion; perform terminal value reality checks (does the business's growth path make mathematical sense?); compare current multiples to historical averages; avoid pure AI build-out investments; focus on profitable businesses already leveraging AI today.