Cboe Global Markets Inc CBOE

Thesis

{"scoring_summary": "## Scoring Summary\n\nThe deterministic scorer assigns CBOE a composite score of 73/100 \u2014 a solid compounder profile with three of four pillars in the green and only valuation flagged. Pillar breakdown:\n\n- Profitability: 24/30 \u2014 ROIC 10-yr average of 17.96%, with 5-year ROIIC of 5.34x (every incremental dollar of capital is earning back 5x its cost over the cycle, an exchange-economics signature). FCF/NI conversion of 1.96x confirms the low-capex, high-margin engine: reported earnings systematically understate cash production because intangibles amortization from prior M&A is not a real cash cost.\n- Balance Sheet: 19/25 \u2014 Net debt/EBITDA of -0.53x (net cash position) and interest coverage of 22.8x. Cboe is a creditor, not a debtor, of the financial system. This matters because exchanges are utility-like and a fortress balance sheet is a precondition for the regulatory clearing/clearinghouse role.\n- Capital Allocation: 15/25 \u2014 10-year share count change of +2.9% (mild dilution from M&A and equity comp, not heroic buybacks). Score is held back by acquisition history (Bats 2017, ErisX/Digital 2022, Hanweck 2020, NEO 2022) \u2014 some accretive (Bats), some written down (Digital crypto). The dilution is small in absolute terms and offset by a growing dividend.\n- Valuation: 15/30 \u2014 TTM P/E of 42.6x vs 10-yr average of 34.0x; EV/FCF of 32.1x; reverse-DCF implied growth of 11.5%. Owner earnings of $0.81B. Price-to-IV ratio of 0.824 \u2014 the stock trades at an 18% discount to base intrinsic value of $396.62, with a wide range ($182.73 low / $428.86 high) reflecting maintenance-capex uncertainty flagged by the scorer.\n\nScorer notes: maintenance capex spread is >50% (typical for exchange businesses where customer-funded technology is hard to bucket); base CAGR was clamped from 14.7% to 14.0% \u2014 a conservative haircut on what has been a 13-15% earnings-power growth franchise. The IV range was deliberately widened to reflect this uncertainty.\n\nNet read: a high-quality compounder with the only debate being how much of the multiple is durable. The current 18% discount to base IV provides a margin of safety even if the multiple compresses one or two turns.", "company_context": "## Company Context\n\nCboe Global Markets is a global exchange operator whose franchise sits on three irreplaceable assets: (1) the proprietary index options complex \u2014 SPX, VIX, XSP, RUT, and Mini/Nanos \u2014 listed exclusively on Cboe; (2) the VIX Index itself, the de facto fear gauge of global markets, calculated and licensed by Cboe; and (3) a multi-asset, multi-geography exchange and data network spanning options (4 US exchanges), US equities (BZX, BYX, EDGA, EDGX), European equities (Cboe Europe, post-Bats acquisition), Canadian equities (NEO), Australian equities (Chi-X Asia Pacific), Japan, and FX (Hotspot/Cboe FX).\n\nThe 2025 10-K (period 2025-12-31, filed 2026-02-20) reports the business through five segments: Options, North American Equities, Europe & Asia Pacific, Futures, and Global FX. Options remains the profit center \u2014 SPX and VIX options are de jure monopolies on Cboe's exchanges (the products are owned by Cboe and licensed only to itself), generating roughly half of consolidated revenue with operating margins north of 70%. Multi-listed options, US equities, and FX are commoditized and lower-margin; the strategic point of those assets is feeder volume, microwave/co-location data sales, and global distribution for the proprietary complex.\n\nGrowth vectors visible in the filing: (a) 0DTE (zero-days-to-expiry) SPX options \u2014 now ~50%+ of SPX volume \u2014 which has structurally lifted SPX ADV without cannibalizing other tenors; (b) Cboe Data Vantage \u2014 the recurring data and analytics business, growing low-double-digits with high incremental margins; (c) international expansion \u2014 Cboe Europe Derivatives, Cboe Clear Europe (CCP), and Cboe Japan; (d) retail-driven options ADV \u2014 total US options ADV has compounded ~9% per year for a decade.\n\nThe filing also discloses ongoing regulatory engagement (SEC, CFTC, FCA, ASIC, JFSA) and the wind-down of Cboe Digital (the spot/futures crypto venture) into a derivatives-only model \u2014 a reminder that not every adjacency has worked. Maintenance capex disclosure remains lumpy because of the technology platform unification (Bats engine migration), explaining the scorer's >50% spread flag.\n\nManagement: Fred Tomczyk (CEO since 2023, ex-TD Ameritrade) replaced Ed Tilly after the latter's departure. Capital return policy is consistent: progressive dividend (~1.5% yield) plus opportunistic buybacks, funded entirely by FCF.", "circle_of_competence": "## Circle of Competence (Munger's 4 Tests)\n\nTest 1 \u2014 Explain to a smart 12-year-old in 100 words? Yes. "Cboe owns the toll booth where a

Moat

Moat Assessment

Verdict: WIDE. Cboe combines three of the five Morningstar moat sources — intangibles (regulatory/IP), network effects, and switching costs — into a structurally protected franchise.

1. Intangibles / Regulatory & IP Moat — STRONGEST. The SPX, VIX, RUT, and XSP options contracts are proprietary products of Cboe; the indices are owned (SPX licensed exclusively from S&P DJI to Cboe Options Exchange, VIX is Cboe's own IP). No competitor can list an identical contract. The 1973 founding of the listed options market and 30+ years of VIX brand equity have created a Lindy-effect intangible asset. Stress test: If a $10B competitor (e.g., a CME-Nasdaq JV) launched 'SPY-style' index options tomorrow, they could not legally list SPX — they could only launch a similar but non-fungible contract, and the existing $30T+ open-interest ecosystem (ETF hedgers, structured products, OCC clearing, dealer hedging books) would not migrate. Erosion risk: low — would require either expiry of S&P license (renewed long-term) or a regulator forcing the index to be open-listed (no precedent).

2. Network Effects — STRONG. Liquidity begets liquidity. SPX options have the deepest single-product order book in US options; that depth attracts institutional hedgers, which attracts market makers willing to quote tighter spreads, which attracts more flow. The 0DTE phenomenon was a network-effect detonation: retail trading at 0DTE created dealer hedging flow, which deepened intraday liquidity, which attracted institutional 0DTE strategies. Stress test: $10B can buy market-maker rebates but cannot buy an installed base of OCC-cleared positions and S&P-licensed contracts. Erosion risk: low-medium — multi-listed equity options are a counterexample where network effects fragmented across NYSE/Nasdaq/MIAX.

3. Switching Costs — MEDIUM. For dealer/HFT customers, switching the venue is cheap (it's just a FIX session); switching the product is impossible — they have to be where SPX trades. Data Vantage subscribers (vendors, HFTs, asset managers) face moderate switching costs because they hardwire feeds into risk and OMS systems. Erosion risk: low.

4. Cost advantages — MEDIUM (asset-light scale). Adding incremental volume costs almost nothing on the matching engine. ROIC of 17.96% reflects this.

5. Pricing power — MEDIUM-HIGH on proprietary, LOW on multi-listed. Cboe has raised SPX fees roughly with inflation; multi-listed options are subject to maker-taker rebate wars.

Aggregate moat: WIDE, durable for 15+ years, with the SPX/VIX core being one of the most defensible single-product franchises in US capital markets.

Management & Capital Allocation

Industry Structure

Inversion (Bear Case)

Lollapalooza Bias Check

Latticework — Three Mental Models

1. Economics (Henry George / Monopoly Rent). SPX and VIX are economic equivalents of land — they cannot be produced, only licensed, and the productivity of the surrounding economy (US equity market) accrues as rent to the owner. Cboe collects a tiny per-contract fee (a few cents) but multiplies it by 3+ million SPX contracts per day and rising. As US equity market cap and global hedging demand grow, the rent grows — without Cboe needing to invest in 'producing more land.' The classic Buffett dream business: a toll bridge with growing traffic and a fixed cost base. Risk: regulators could, in theory, cap the toll. Empirically, they haven't.

2. Engineering (Network Topology / Latency Physics). Liquidity is a directed graph. Once a contract has the deepest book, market makers tighten spreads there, which makes it the cheapest place to trade, which deepens the book further. This is a positive-feedback loop that obeys network-physics: it scales superlinearly with participants until friction (capacity / regulatory) bounds it. Cboe's job is to keep matching-engine latency below dealers' arbitrage thresholds, which it does (sub-millisecond). The engineering frontier is co-location and proximity — Cboe's Secaucus/CH2 footprint is the Schelling point for US options HFT.

3. Psychology (Loss Aversion / Insurance Demand). Kahneman-Tversky: humans weight losses ~2x gains. Equity markets going up does not create a need for SPX puts; equity markets threatening to go down does. As global equity wealth has grown 5x in 25 years, the absolute pool of 'wealth-to-protect' has grown 5x — and demand for portfolio insurance scales with that pool. Vol-of-vol (VIX) trading is the same instinct expressed with leverage. This psychological constant is why VIX volume is anti-fragile: the franchise makes more money in scary times, and scary times return at irregular but reliable intervals.

Synthesis: All three lenses agree. Economics says the rent is durable; engineering says the network compounds; psychology says demand is structurally growing and counter-cyclical. No conflict — a high-conviction triangulation toward 'wide moat, durable, slightly anti-fragile.'

10-Year Outlook