Sector Deep-Dives
Cross-company analysis within industry groups. We aggregate signals from individual equity analyses, run sector-level lenses, and feed insights back into company theses.
How Sector Deep-Dives Work
We aggregate signals from individual company analyses into a cross-company heatmap — showing where competitors align and where they diverge on key metrics.
6 industry-level lenses analyze competitive dynamics, consolidation trajectories, capital cycles, value chains, disruption vectors, and sector regime.
Sector insights flow back to individual equity theses as context cards — competitive positioning, shared vulnerabilities, and industry tailwinds inform each company's analysis.
Aerospace & Defense
The new defense-industrial complex spanning autonomous drones, eVTOL air mobility, space launch/infrastructure, and specialty defense technology. Unlike legacy primes (LMT, RTX, NOC), these are growth-stage companies riding the convergence of AI autonomy, commercial space, and DoD modernization. The central tension: massive TAMs and government contracts vs. cash burn, certification timelines, and whether commercial markets materialize at scale.
US Money-Center Banks
The six US global systemically important banks (G-SIBs) — JPMorgan, Bank of America, Citigroup, Wells Fargo, Goldman Sachs, and Morgan Stanley — that span universal banking, investment banking, wealth management, and global markets. Combined ~$11-12T in assets and ~$1.7T in market cap, this oligopoly competes fiercely on the margin under identical regulatory constraints. The central tension in 2026: a decelerating NII tailwind meeting an accelerating investment banking recovery, with private credit eating structural share of direct lending.
Clean Energy & Power Infrastructure
The non-nuclear clean energy and power infrastructure stack spanning fuel cells (BE, PLUG), battery storage (EOSE, FLNC), solar (RUN), and power generation/retail (AES, NRG). Distinct from the nuclear-energy sector by focusing on renewable generation, storage, and grid infrastructure. The central tension: IRA subsidies created a massive demand pull but tariff uncertainty, interest rate sensitivity on project finance, and grid interconnection bottlenecks threaten to stall deployment.
Enterprise SaaS
Enterprise application software companies navigating the AI disruption wave — from design tools to CRM to observability to IT workflow automation. The central tension: AI copilots may reduce seat counts (threatening per-seat pricing models) while simultaneously enabling new functionality and stickier products. Eight companies spanning different verticals but sharing the same structural question.
Fintech & Payments
The digital financial services stack from payments rails (V, MA) through neobanking (SOFI), trading (HOOD), BNPL (AFRM), mortgages (RKT), and merchant processing (FISV). The central tension: incumbents with network-effect moats vs. challengers with superior UX and AI-native architectures. Regulatory pressure (CFPB, open banking), credit cycle risk, and AI disruption of lending/underwriting create a complex analytical landscape.
Grid & Power Delivery Equipment
Manufacturers of critical electrical infrastructure — transformers, switchgear, UPS, PDUs, and thermal systems — caught between unprecedented demand from AI data center buildouts and aging grid modernization, and constrained supply of both finished equipment and key inputs (GOES steel, copper, ceramic bushings). The central tension: massive backlogs create multi-year revenue visibility and pricing power, but the same supply chain bottlenecks that drive demand may limit these companies' ability to convert backlog to revenue.
Metals & Mining
The global metals complex spanning copper, aluminum, gold, rare earths, lithium, and steel — all caught between geopolitical supply chain reshoring, the energy transition's insatiable mineral demand, and cyclical commodity pricing. The central tension: critical mineral scarcity narratives vs. actual project economics and permitting timelines. Nine companies spanning the full materials spectrum from precious metals to industrial commodities.
Nuclear Energy Renaissance
The nuclear energy value chain — from uranium fuel supply through reactor technology to power generation — experiencing a structural demand inflection driven by AI datacenter baseload requirements and government policy acceleration. Hyperscalers (Microsoft, Amazon, Google, Meta) have signed multi-GW nuclear PPAs, uranium supply is projected to halve by 2030 without new investment, and existing fleet operators are capturing premium repricing without new construction risk. The central tension: unprecedented demand signals vs. decade-long development timelines, regulatory bottlenecks, and unproven SMR economics at scale.
Semiconductors & AI Infrastructure
The AI compute supply chain from GPU/accelerator design (NVDA, MRVL) through advanced packaging (AMKR, TSEM) to power delivery (ALAB, CRDO) and test/process (MKSI). Includes quantum computing (RGTI) and next-gen power semiconductors (NVTS). The central tension: unprecedented AI-driven demand creating the biggest capex cycle in semiconductor history vs. cyclical overshoot risk, geopolitical supply chain fragmentation (CHIPS Act, China export controls), and the question of whether current investment levels are sustainable.
US Airlines
Major US passenger airlines navigating the post-pandemic premium segmentation shift under the most severe exogenous fuel shock since 1979. The central tension: oil at $107-112/bbl (Brent) with Strait of Hormuz at 85% probability of sustained closure creates a survival-of-the-balance-sheet test that separates premium-positioned carriers from commodity capacity players. Five airlines spanning the full spectrum from legacy network carriers to low-cost operators, each with different fuel hedging postures, debt profiles, and premium revenue exposure.
US Retail
Seven US retailers spanning the full consumer spectrum -- from Walmart's SNAP-dependent mass market to Costco's affluent membership fortress to Kohl's distressed department store. The central analytical question: how do shared external forces (tariffs, consumer sentiment, employment, housing cycles, inflation) create radically different outcomes depending on business model, consumer demographic, and supply chain positioning? The spread from counter-cyclical chaos beneficiary (TJX) to housing-cycle exposure (HD) to structural decline (KSS) makes differential response to macro forces the primary signal.