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CME Group
Financials · Financial Exchanges & Data

Global derivatives marketplace offering diverse products across asset classes for risk management.

HQ: United StatesListed: United States

AI Consensus

On this page, you will be able to compare multi-agent consensus ratings, forecast paths, AI price targets, expected return, fundamentals, analyst disagreement, risks, and the investment thesis across short- and long-term horizons.

AI Consensus Investment Thesis

CME Group (CME) Stock Forecast and AI Rating

Returns refreshed Deep analysis published 12 min read
1-Year and 5-Year Forecast Outlook

Forecast targets and rating

Final recommendation

BUY

Calculated from the frozen synthesized path using the same return, horizon, volatility and dividend rules as individual opinions.

2027

1-Year

BUY

$299

+8.3%+11.1% incl. dividends
2031

5-Year

BUY

$389

+40.9%+60.2% incl. dividends

Latest flagship insight

Sovereign Debt Surge Meets Micro Contract Fee Dilution In Monopoly Clearing

A sharp divergence emerges between record derivative trading volumes and real revenue realization across global clearing infrastructure. High consensus affirms unmatched cross-margining moats against rival consortiums, yet micro-contract fee dilution and elevated risk-free hurdle rates constrain multi-year valuation multiple expansion.

Deep Forecast Analysis by iPulse AI Engine

This is the latest published deep-analysis batch. Audit published forecasts in full transparency

Universal Investor (Polymath) advisor portraitWarren Buffett (Value Purist) advisor portraitRay Dalio (Strategist) advisor portraitElon Musk (Visionary) advisor portraitMachiavelli (Insider) advisor portraitSuperintelligence (Anthropologist) advisor portraitMichael Burry (Vulture) advisor portraitJ.P. Morgan (Titan) advisor portraitSherlock Holmes (Whistleblower) advisor portrait

Universal Investor (Polymath), Warren Buffett (Value Purist), Ray Dalio (Strategist), Elon Musk (Visionary), Machiavelli (Insider), Superintelligence (Anthropologist), Michael Burry (Vulture), J.P. Morgan (Titan), Sherlock Holmes (Whistleblower). Some archetypes run in multiple modes, resulting in 14 advisors total.

Computed on these frontier AI models
Gemini AI model logoGeminiClaude AI model logoClaudeChatGPT AI model logoChatGPT

Executive Summary

Dotted terms open concise definitions. Browse technical terms

If you invested $10,000 in CME Group at the forecast anchor (2026-09-18): $16,017 in five years versus $13,892 for S&P 500 benchmark.

Five-year synthesized consensus forecast for CME GroupThe diagram shows the synthesized consensus value path for CME Group, forecast milestones, and a comparison with S&P 500 benchmark. including estimated net dividends of 2.6% per year.$10,000$12,500$15,000$17,500$16,017 (+60.2%)$13,892 (+38.9%)Anchor2026-09-182027(1Y)2028(2Y)2029(3Y)2030(4Y)2031(5Y)
CME Group · Synthesized ConsensusS&P 500 benchmark

* Return is calculated incl. 2.6% net dividend yield for CME Group.

Figure: Five-year synthesized consensus value path for CME Group compared with S&P 500 benchmark. The path uses the synthesizer’s normalized opinion weights.
20-quarter synthesized forecastPrice targets, quarterly returns and the reasoning behind each step

Frozen forecast from 18 Sept 2026. Prices in USD; returns exclude dividends. Each quarter is compounded from the previous quarter.

Anchor: 276.01 USD1-year price return: +8.32%5-year price return: +40.88%

Swipe the table horizontally to read every column.

Twenty quarterly synthesized price forecasts in USD, with returns and rationale
QuarterTarget (USD)Quarter returnTotal returnForecast rationale
Q4 2026284.01+2.90%+2.90%Heightened rate volatility and energy basis trading support solid contract volumes. The launch of dedicated securities clearing captures early mandatory Treasury onboarding, although elevated risk-free yields cap valuation multiple expansion.
Q1 2027290.93+2.44%+5.41%Seasonal Q1 hedging surges and the annual variable dividend announcement lift sentiment, but tough prior-year volume comparisons and micro-contract fee dilution moderate top-line revenue translation across the core complex.
Q2 2027295.48+1.56%+7.06%Secondary Treasury and repo clearing adoption expands collateral balances, yet post-dividend capital drain and competitive fee concessions in short-term interest rates generate mild valuation friction.
Q3 2027298.98+1.18%+8.32%Summer volume moderation dampens transaction fees, while robust market data licensing renewals and commodity hedging maintain sixty-four percent operating margins against a backdrop of steady policy rates.
Q4 2027306.83+2.63%+11.17%Year-end institutional portfolio rebalancing and sovereign debt issuance absorption stimulate duration hedging. Strong operational cash generation supports fourth-quarter capital return positioning, driving steady equity performance.
Q1 2028312.91+1.98%+13.37%First-quarter derivatives activity accelerates amidst global macro adjustments. The annual variable dividend payout provides dependable cash yield, though rising dual-run cloud migration technology expenditures modestly constrain margin expansion.
Q2 2028316.47+1.14%+14.66%Entrenched cross-margining efficiencies repel challenger exchange liquidity inroads, but selective tiered rebates on benchmark rates contracts pressure blended rate per contract, keeping net income growth measured.
Q3 2028318.16+0.54%+15.27%Macroeconomic rate stabilization temporarily compresses yield-curve volatility. Steady non-transactional subscription revenues and active share repurchases counterbalance subdued transactional turnover during the seasonal late-summer lull.
Q4 2028325.83+2.41%+18.05%Corporate debt refinancing and sovereign debt auctions reignite fixed-income hedging velocity. Solid fourth-quarter cash conversion and predictable capital distributions reinforce defensive institutional ownership into the fiscal year-end.
Q1 2029332.02+1.90%+20.29%Delivery of the annual variable dividend combines with resilient seasonal volumes across commodities and rates. Maturing cloud infrastructure begins reducing legacy data center operating overhead, supporting stable per-share compounding.
Q2 2029338.06+1.82%+22.48%International participant onboarding across European and Asian trading sessions fuels organic contract growth. Steady proprietary information services licensing partially offsets persistent fee dilution from rapid micro-contract expansion.
Q3 2029340.82+0.82%+23.48%A temporary cyclical lull in rate volatility slows financial futures turnover. Pristine balance sheet health and negative working capital needs preserve cash flows, keeping the equity valuation anchored.
Q4 2029347.98+2.10%+26.07%Institutional year-end balance sheet netting accelerates demand for centralized repo and swap clearing. Operating margins remain firmly above sixty-four percent, funding substantial capital returns to equity holders.
Q1 2030354.78+1.95%+28.54%First-quarter macro repositioning and sovereign debt roll-overs drive healthy contract velocity. The annual variable dividend distribution reinforces defensive investor demand, offsetting broader market multiple compression.
Q2 2030360.62+1.65%+30.65%Commodity basis risk and energy transition hedging support NYMEX and COMEX turnover. Cross-margining collateral scale locks in primary dealers, neutralizing competitive fee threats and preserving core pricing power.
Q3 2030362.82+0.61%+31.45%Late-summer volume moderation and range-bound interest rates temper transaction fee expansion. Disciplined operating expenditure management and steady share buybacks maintain consistent diluted earnings per share progress.
Q4 2030371.39+2.36%+34.56%Execution efficiencies from completed cloud architecture lower unit clearing costs. Accelerated year-end portfolio hedging and the expectation of another large annual dividend distribution bolster closing equity momentum.
Q1 2031377.64+1.68%+36.82%Strong first-quarter seasonal volume across multi-asset complexes drives operating earnings. Shrunken share count from sustained repurchases magnifies per-share cash flow, maintaining a solid total return profile.
Q2 2031383.51+1.55%+38.95%Maturing 24/7 contract structures and institutional digital asset clearing contribute high-margin non-traditional volumes. Operating leverage easily absorbs minor fee competition, sustaining peer-leading net margins.
Q3 2031388.84+1.39%+40.88%Terminal horizon valuation reflects an irreplaceable, mature clearinghouse utility. Cash flow durability, unassailable netting moats, and predictable capital returns conclude the five-year cycle with dependable per-share compounding.

The base-case economic thesis establishes this enterprise as an indispensable sovereign tollbooth whose multi-billion-dollar portfolio cross-margining advantages create near-absolute for primary dealers under Basel III capital rules. Structural fiscal deficits exceeding forty trillion dollars guarantee enduring Treasury issuance and duration hedging across changing macro regimes. However, valuation sensitivity is acute: trading near twenty-three times earnings against a five percent risk-free sovereign yield, equity multiples face structural resistance. Furthermore, the strongest counterargument reveals that headline contract growth is decoupling from revenue, as low-fee micro derivatives dilute rate per contract while cloud transition costs and competitive rebate pressure cap .

Key insights

  • Daily portfolio cross-margining offsets exceeding ninety billion dollars render rival consortium fee cuts economically ineffective due to punitive external .
  • Structural shift toward micro-sized contracts creates volume-revenue decoupling, requiring recurring market data monetization and buybacks to sustain per-share earnings compounding.
  • Net corporate cash structure and non-discretionary risk transfer insulate cash flows from credit cycles, supporting consistent four percent shareholder yields.

Deep Dive

Prevailing market sentiment views the business as an infallible, defensive cash machine whose earnings boom will inevitably peak as central bank rate cycles stabilize. Media commentary and dated sell-side models fixate on competitive threats from consortium-backed rival exchanges, assuming fee wars will erode . Consequently, public consensus anchors on an unexciting utility valuation near twenty-three times earnings, ignoring the structural expansion of hedging.

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Paywalled preview begins: Deep Dive: detailed analysis

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AI Consensus
AI Opinions
Company Profile

Alpha Gap & Repricing Catalysts

Where does the current market narrative diverge from our AI Opinions—and what could close the gap?

Market Narrative

What does the market currently expect? Prevailing market sentiment views the business as an infallible, defensive cash machine whose earnings boom will inevitably peak as central bank rate cycles stabilize. Media commentary and dated sell-side models fixate on competitive threats from consortium-backed rival exchanges, assuming fee wars will erode . Consequently, public consensus anchors on an unexciting utility valuation near twenty-three times earnings, ignoring the structural expansion of hedging.

Alpha Gap

What is the biggest difference between market expectations and our AI forecasts? The crowd slightly overestimates near-term top-line elasticity while misunderstanding the true moat. Market participants incorrectly assume that upstart trading venues can easily dislodge volume by undercutting execution fees. In reality, the analytical edge reveals that institutional participants cannot defect without forfeiting over ninety billion dollars in daily portfolio cross-margining efficiencies. However, the crowd also overlooks that record transaction counts are being diluted by lower-fee micro contracts, meaning compounding will rely on and market data pricing rather than volume-driven .

Repricing Catalyst

What could make the market recognize and close that gap? Consecutive quarterly earnings releases through 2027 showing resilient interest-rate open interest alongside implementation of the SEC mandatory Treasury clearing rule will serve as the primary catalyst. First observable when rival exchange stalls below meaningful thresholds, these disclosures will prove that cross-margining locks in institutional flows. This confirmation will force Wall Street to abandon market-share loss theses, stabilizing normalized earnings power and sustaining premium dividend distributions.

Sentiment and Timing

What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?

Greed / Fear
Balanced
Volatility
Low Steady
Cycle position
Growing Awareness

Sentiment splits between cautious observers fearing cyclical rate stabilization and consortium fee competition, versus structuralists emphasizing permanent issuance. This tension between cyclical volume fatigue and structural hedging demand dictates whether near-term returns come from or cash yield.

Macro Regime Fit

Does the current market environment support the thesis? The prevailing macro backdrop of elevated benchmark yields, persistent fiscal debt expansion, and recurring commodity supply friction is a strong tailwind for transaction volumes. Policy uncertainty directly accelerates institutional duration hedging. Transmission operates primarily through non-discretionary risk transfer demand and collateral interest yields, which easily outweigh the valuation headwind posed by elevated sovereign discount rates.

Advisor Disagreement

What do our AI Advisors disagree about most? The decisive debate centers on whether surging contract volumes translate into genuine earnings growth or merely mask underlying . Optimistic perspectives argue that unprecedented issuance and SEC central clearing mandates will expand above sixty-eight percent, driving valuation multiples higher. Conversely, skeptical analyses emphasize that rapid adoption of low-fee micro contracts dilutes average rate per contract, while a five percent sovereign yield caps equity multiples near twenty-two times. Reconciling this dispute requires observing quarterly rate-per-contract trends alongside non-transaction market data growth; if blended fee realization stabilizes above sixty-six cents despite micro growth, the bullish compounding thesis will be confirmed.

Base-Case Forces

Event Risk ScoreVery Low4/100

Near-certain positive forces

Top Drivers / Tailwinds

Near-certain forces that support the investment thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.

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Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Issuance Hedging SupercycleMacroeconomic And Macrofinancial+18%+22%Expanding US gross federal debt crossing forty trillion dollars forces continuous primary dealer duration hedging and basis trading. This structural dynamic establishes an elevated baseline volume floor under Treasury and SOFR futures complexes. Persistent needs ensure steady transactional clearing demand across changing monetary cycles, directly expanding high-margin fee revenue and underpinning peer-leading cash generation over the five-year forecast horizon.
Clearinghouse Portfolio Margining Capital MoatCompetitive Positioning+14%+13% across multi-asset clearing generates over ninety billion dollars in daily cross-margining collateral relief for major financial institutions. Under stringent Basel III , primary dealers cannot afford to fragment liquidity into rival execution venues without incurring severe capital penalties. This self-reinforcing liquidity gravity preserves benchmark contract , repels challenger platforms, and sustains near sixty-five percent.
SEC Treasury Clearing Mandate MonetizationRegulatory+13%+15%Regulatory enforcement mandating central clearing for cash Treasuries and secondary repos channels trillions in bilateral transactions onto regulated clearing infrastructure. Launching dedicated securities clearing allows the firm to capture mandated post-trade volumes while offering critical margin netting against listed benchmark futures. This captive regulatory inflow accelerates non-transaction clearing revenues, converts regulatory burden into cash flow, and solidifies institutional lock-in.
Disciplined Shareholder EngineCapital Allocation+10%+8.0%An asset-light operational framework requiring below two percent of revenue converts over ninety-five percent of net income into distributable . Programmatic return of capital through regular dividends, variable annual special distributions, and active provides a reliable four percent cash yield. This continuous reduction in share count mechanically supports per-share earnings compounding across varying market environments.

Near-certain negative forces

Top Frictions / Headwinds

Near-certain forces that could slow, cap, or damage the thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.

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Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Micro Contract Rate Fee Competitive Positioning-10%-11%Aggregate transaction volumes and revenue realization are decoupling as rapid growth concentrates in retail micro contracts and short-dated options. Because micro contracts generate a fraction of standard institutional fees, overall average rate per contract faces persistent downward mix pressure. This structural shift constrains top-line revenue acceleration, dampening incremental despite celebratory headline average daily contract volume records.
Consortium Platform Pricing Rebate FrictionCompetitive Positioning-9.0%-9.0%BGC's FMX platform, backed by major Wall Street dealer consortiums and LCH cross-margining, poses persistent fee friction in cash Treasuries and short-term interest rate futures. While rival platforms face high hurdles in dislodging incumbent open interest, their subsidized fee structures compel the incumbent to offer defensive tiered volume discounts. This competitive pressure caps rate-per-contract growth across prime financial complexes.
Elevated Risk Free Multiple HeadwindMacroeconomic And Macrofinancial-8.0%-0.0%Persistent sovereign inflation and elevated benchmark borrowing costs keep ten-year Treasury yields near five percent, creating severe valuation resistance. Trading near twenty-three times trailing earnings, the company's earnings yield sits below risk-free paper, forcing allocators to demand valuation discipline. This spread limits forward price-to- expansion, leaving total equity returns heavily reliant on organic earnings compounding and .
Cloud Migration Dual Run Technology OverheadOperational Efficiency-6.0%-7.0%The multi-year migration of mission-critical Globex matching architecture to Google Cloud private zones introduces elevated transitional operating expenditures. Running parallel infrastructure to maintain microsecond latency determinism elevates technology operating expenses and software licensing costs through 2028. These dual-run expenditures absorb incremental cash flow, temporarily diluting and delaying technological operating efficiencies until legacy physical data centers are fully decommissioned.

What Could Break or Accelerate the Thesis

Plausible downside scenarios

Tail Risks

Tail yet plausible downside scenarios selected for their highest potential impact.

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Tail risks with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Consortium Dealer Open Interest Defection22%-26%A coordinated liquidity rebellion by tier-one dealer consortium members could divert more than fifteen percent of SOFR and benchmark Treasury futures open interest to a rival venue like FMX by 2028. Breaking the incumbent's netting monopoly would spark aggressive fee wars, crush below fifty-five percent, and trigger severe equity multiple de-rating across global financial markets.
Synchronized Central Bank Yield Suppression18%-22%Synchronized global disinflation accompanied by rigid central bank suppression could crush interest-rate volatility through 2028. Stripping rates of directional dispersion would depress institutional duration hedging, causing derivative trading volumes to drop by twenty percent. Because operational expenses are largely fixed, this volume drought would cause negative , forcing dividend cuts and precipitating steep equity liquidation.

Plausible upside scenarios

Tail Opportunities

Tail yet plausible upside scenarios selected for their highest potential impact.

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Tail opportunities with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Mandatory Repo Clearing Market Monopoly35%+22%Full regulatory enforcement of the SEC Treasury clearing rule could funnel tens of trillions in previously bilateral repo and cash transactions overwhelmingly into the incumbent's clearinghouse. If primary dealers consolidate post-trade workflows to maximize cross-margining against benchmark futures, annual clearing revenues would expand by over twenty percent, elevating operating profits and triggering substantial .
Institutional 24/7 Digital Derivatives Hegemony26%+18%Accelerating global regulatory harmonization could designate CFTC-regulated futures exchanges as the mandatory settlement infrastructure for institutional crypto and tokenized real-world assets. Capturing round-the-clock digital and collateral clearing from unregulated offshore venues would unlock substantial high-margin contract turnover, expanding non-US institutional participation and prompting an aggressive fintech valuation re-rating by 2028.

Company Financial Analysis

CME Group Earnings and Financials Analysis by AI

Financial figures available as of Sep 20, 2026. Only filings and source records available by this analysis date are included.

Earnings and financials

AI Review

The company's financial story shows tremendous cash conversion alongside a subtle shift in underlying revenue drivers. Trailing twelve-month revenue reached approximately $6.77 billion, producing $4.27 billion in net income and $4.21 billion in free cash flow. This reflects a business that converts nearly every dollar of operating profit directly into distributable cash, powered by steady demand for risk management across interest rates and energy complexes. However, headline volume records conceal a noticeable development: revenue growth slowed to less than one percent in recent quarters because trading activity is increasingly driven by smaller micro contracts that generate lower fees per trade. Furthermore, trailing earnings benefited from one-off asset disposal gains and tax items. Sustainable future earnings will depend on high-margin proprietary data sales and post-trade clearing fees rather than unconstrained volume growth alone.

Revenue, earnings, and cash flow

The table compares up to five fiscal years of revenue, net income, and free cash flow available to this analysis.

Revenue, net income, and free cash flow history
Fiscal yearRevenueNet incomeFree cash flow
2025USD 6.5BUSD 4BUSD 4.2B
2024USD 6.1BUSD 3.5BUSD 3.6B
2023USD 5.6BUSD 3.2BUSD 3.4B
2022USD 5BUSD 2.7BUSD 3B
2021USD 4.7BUSD 2.6BUSD 2.3B

Valuation context: historical P/E

The table compares up to five fiscal years of point-in-time valuation evidence available to this analysis.

Historical price-to-earnings ratios
Fiscal yearP/EEarnings basisCurrency basisTicker / reporting
202524.3xTTMNativeUSD / USD
202423.7xTTMNativeUSD / USD
202323.5xTTMNativeUSD / USD
202222.4xAnnualNativeUSD / USD
202131.1xAnnualNativeUSD / USD

P/E uses historical market capitalization and earnings known at each period. Cross-currency observations are normalized to USD using point-in-time FX rates.

Profitability and margins

AI Review

Profitability margins rank among the highest in corporate history, reflecting classic natural-monopoly economics. The business achieved an 86.1% gross margin and an operating margin near 65% in 2025, demonstrating that processing additional electronic trades costs virtually nothing once the matching platform is built. This fixed-cost leverage ensures that new business flows almost entirely to the bottom line. Nevertheless, operating margins face modest near-term ceilings. Increased technology spending for cloud deployment, rising specialized compensation, and defensive fee rebates offered to counter rival platforms have caused operating expenses to grow slightly faster than transaction revenue. Protecting these elite sixty-five percent margins over the long haul requires steady price realization on proprietary market data to balance out lower-priced micro trading contracts.

The table compares up to five fiscal years of operating income and reported profitability margins.

Operating income and margin history
Fiscal yearOperating incomeOperating marginNet margin
2025USD 4.2B64.9%62.0%
2024USD 3.9B64.1%57.5%
2023USD 3.4B61.6%57.8%
2022USD 3B60.1%53.6%
2021USD 2.6B56.4%56.2%

Balance sheet and leverage

AI Review

The corporate balance sheet represents a fortress of financial strength, completely insulated from borrowing strains. Core financial debt remains modest at approximately $3.4 billion against $28.7 billion in book equity, yielding a conservative debt-to-equity ratio of 0.13 and interest coverage exceeding forty times operating earnings. The company faces zero refinancing distress in a high-rate environment. Investors must avoid being misled by reported total assets of nearly $200 billion, which primarily reflect customer performance bonds and margin deposits held in trust rather than corporate wealth. True corporate obligations carry minimal leverage. The primary potential risk is not loan default, but managing mutualized clearing member liabilities during severe market dislocations, a risk fully shielded by structured member default funds.

The table compares up to five fiscal years of debt, liquidity, net cash or debt, and current-ratio evidence.

Balance sheet leverage and liquidity history
Fiscal yearTotal debtCash + short-term investmentsNet cash / (debt)Current ratio
2025USD 3.8BUSD 4.5BUSD 666.2M net cash0.03x
2024USD 3.4BUSD 3BUSD 535.6M net debt1.01x
2023USD 3.4BUSD 3BUSD 513.4M net debt1.02x
2022USD 3.4BUSD 2.8BUSD 718.3M net debt1.01x
2021USD 3.4BUSD 2.9BUSD 610.2M net debt1.01x

Net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities.

Capex and investment intensity

AI Review

Management maintains exceptional capital discipline, operating an asset-light exchange tollbooth that requires minimal physical investment. Capital expenditures consumed just 1.28% of revenue in 2025, allowing the business to release over ninety-five percent of operating cash flow back to shareholders. This structure ensures that growth does not require heavy debt or expensive factory construction. The only major capital commitment is the multi-year technology migration to Google Cloud. Rather than building costly proprietary data centers, the company is shifting trading and clearing workloads into specialized cloud infrastructure. While this migration introduces temporary dual-run operating expenses, it keeps maintenance spending low, preserving a high return on capital while modernizing algorithmic execution.

The table compares up to five fiscal years of capital expenditure and research-and-development investment.

Capital expenditure and research and development history
Fiscal yearCapital expenditureR&D spend
2025USD 83.5M--
2024USD 94M--
2023USD 76.4MUSD 218.7M
2022USD 89.7MUSD 188.6M
2021USD 127.2MUSD 192.6M

Quarterly Forecast Scenarios

CME Group Averaged Consensus Scenarios

One row per forecast quarter. Asset scenario targets are shown in USD; benchmark values are shown in USD.

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Quarterly Bear Case Stock Price, Base Case Stock Price, Bull Case Stock Price, and S&P 500 benchmark forecasts for CME Group.
QuarterBear case (USD)Base case (USD)Bull case (USD)S&P 500 benchmark (USD)
$278.77$284.09$287.05$750.26
$273.19$292.44$301.40$736.44
$278.66$297.48$313.46$743.40
$270.30$300.29$319.73$755.15
$278.41$308.24$329.32$776.22
$272.84$316.11$339.20$787.13
$278.30$320.29$345.98$802.83
$281.08$322.54$349.44$812.05
$286.70$330.22$356.43$839.18
$275.23$337.61$367.13$850.50
$277.99$343.67$374.47$872.39
$269.65$345.87$378.21$885.51
$275.04$352.92$385.78$909.56
$277.79$360.88$393.53$916.13
$272.23$366.80$401.40$936.51
$277.68$369.25$405.41$947.34
$280.45$377.79$417.57$969.59
$272.04$385.27$430.10$979.99
$277.48$391.02$438.70$999.60
$274.71$396.35$447.48$1,012

Behind the synthesis

How each opinion shapes the consensus

14 opinions · 100% allocated

The independently supported common pattern across reports is that structural sovereign debt issuance and monetary dispersion sustain high baseline trading volumes across rates and commodities, protected by over ninety billion dollars in daily cross-margining collateral efficiencies. However, reports frequently repeat correlated assumptions regarding effortless earnings acceleration. The strongest credible contrarian insight identifies a critical decoupling: record transaction volumes are being diluted by lower-fee micro contracts, while trailing earnings were artificially flattered by non-recurring disposal gains. Furthermore, a five percent risk-free rate structurally caps equity valuation multiples. Material unsupported claims include projections of frictionless multiple expansion to thirty times earnings and unverified exponential AI trading surges. The relative weighting heavily prioritizes reports that incorporate forensic primary filings, adjust for one-off windfalls, and account for dual-run cloud migration costs, while downweighting uncritical volume extrapolations.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Opus 5
Weight13.6/100

Superior empirical grounding using primary SEC filings, highlighting the divergence between record contract volumes and flat transaction revenues due to micro mix dilution, alongside collateral float analysis.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

GPT-6 Astra
Weight13.6/100

Outstanding factual precision, correctly adjusting trailing earnings for the non-recurring OSTTRA disposal gain and incorporating cloud operating expenditure realism. Excellent causal rigor and sober multiple expectations.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight7.3/100

Rigorous synthesis of the SEC Treasury clearing mandate and dealer portfolio margining efficiencies. However, its baseline trajectory slightly overstates multi-year volume compounding relative to historical rate cycle normalization.

AI THINKER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight7.3/100

Offers solid balance sheet analysis and correctly highlights owner earnings conversion and dividend power. It slightly underweights structural fee dilution from the accelerating micro-contract mix, warranting a measured allocation.

AI RESEARCHER
Michael Burry AI advisor icon

Michael Burry AI

The Vulture

Gemini 3.8 Flash
Weight7.3/100

Presents the strongest contrarian case on rate-per-contract dilution and negative equity risk premia against five percent sovereign yields. Essential for counterbalancing unconstrained volume extrapolation.

AI THINKER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight7.3/100

Balanced appraisal of structural sovereign debt issuance versus cyclical volatility compression. Properly captures capital allocation stability and defensive cash generation without excessive optimism.

AI THINKER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight6.4/100

Accurately frames switching costs under Basel III rules and the cash conversion moat. Downweighted modestly due to repetitive assumptions shared with other multi-asset macro perspectives.

AI RESEARCHER
Machiavelli AI advisor icon

Niccolo Machiavelli AI

The Insider

Gemini 3.8 Flash
Weight6.4/100

Detailed examination of the regulatory mechanics behind CME Securities Clearing. The report tends to overestimate multiple expansion potential given structural bond competition and elevated policy rates.

AI RESEARCHER
Sherlock Holmes AI advisor icon

Sherlock Holmes AI

The Whistleblower

Gemini 3.8 Flash
Weight6.4/100

High-quality review of corporate cash conversion and proprietary market data monetization. Slightly discounts the near-term operational dual-run costs associated with Google Cloud Globex migration.

AI RESEARCHER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight5.5/100

Insightful conceptualization of CME as a central risk-netting node, though upside projections lean heavily on unverified agentic trading volumes and extreme multi-year contract velocity acceleration.

AI RESEARCHER
Ray Dalio AI advisor icon

Ray Dalio AI

The Strategist

Gemini 3.8 Flash
Weight5.5/100

Competent systemic debt analysis connecting fiscal deficits to duration hedging, but relies on redundant macro premises already covered more rigorously by primary-source reports.

AI RESEARCHER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight5.5/100

Presents a clean tollbooth thesis supported by free cash flow yields and capital return mechanics, though it overlooks how micro contracts dilute blended rate per contract.

AI RESEARCHER
Elon Musk AI advisor icon

Elon Musk AI

The Visionary

Gemini 3.8 Flash
Weight4.5/100

Provides a useful critique of terminal fee compression and multiple sensitivity, but exaggerates FMX market share capture without recognizing clearinghouse cross-margining lock-in. A modest weight preserves its healthy skepticism regarding cyclical trading peaks.

AI RESEARCHER
J.P. Morgan AI advisor icon

J.P. Morgan AI

The Titan

Gemini 3.8 Flash
Weight3.6/100

Captures institutional franchise scale, but suffers from overly aggressive multiple expansion assumptions and hyperbolic growth targets that underestimate competitive fee concessions and rate lulls.

Skip to references

Research Provenance

References & Context

This CME Group consensus analysis combines structured market evidence with independent AI-agent forecasts. External references below are limited to sources recorded by the researcher agents for this forecast batch.

Primary analysis inputs

  • iPulse AI Multi-Agent Forecasts — independent analyst personas, model outputs, and consensus synthesis.
  • iPulse AI Global Events Context — macroeconomic, geopolitical, regulatory, and industry-event context.
  • Structured market history — prices, distributions, volatility, identifiers, and listing metadata.
  • Company earnings and financial statements — revenue, profitability, balance-sheet, cash-flow, and investment trends.
  • Researcher web evidence — public sources consulted to challenge and contextualize the forecast thesis.

Independent AI Advisor panel

AI Advisors
14
AI Researchers
11
AI Thinkers
3

Context retained with this Consensus

The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.

03

Global context snapshot

2025 Full-Year Global Market and World-Events Context

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Coverage 2025-01-01 to 2025-12-31 · Knowledge cutoff 2025-12-31

This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.

The package also includes monthly and quarterly macroeconomic and cross-asset reference tables spanning US and international growth, central-bank policy, sovereign yields, major equity indices, foreign exchange, energy, industrial and precious metals, and digital assets. Quarterly and full-year high-impact summaries are integrated; monthly quantitative series remain working values pending final audit, and that qualification is part of the preserved context.

Top 3 market shifts from 2025 Full-Year Global Market and World-Events Context
Top 3 Market Shifts From FileDateStatus
DeepSeek shock and AI economics reset2025-01-27OPEN ENDED TREND
US tariff regime escalation and trade-system rupture2025-02-01ACTIVE POLICY REGIME
Federal Reserve easing cycle after a prolonged hold2025-09-17ACTIVE POLICY REGIME

2026 Year-to-Date Global Market and World-Events Context Through September 20

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Coverage 2026-01-01 to 2026-09-20 · Knowledge cutoff 2026-09-20

January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.

Fed raised rates to 3.75%-4.00%; ECB hike is in force and BOJ increase starts September 24. Markets through September 18, bitcoin through September 19.

Top 3 market shifts from 2026 Year-to-Date Global Market and World-Events Context Through September 20
Top 3 Market Shifts From FileDateStatus
Renewed monetary tightening amid persistent inflation2026-01-30ACTIVE POLICY REGIME
Iran/Hormuz conflict and wider energy-security disruption2026-02-28ONGOING
Tariff legal reset and strategic supply restrictions2026-02-20ACTIVE POLICY REGIME

Representative Sources of the Context File

And more sources from the retained context package.

02

Fundamental context

Income statement

9 fields

depreciationAndAmortization · ebit · ebitda · grossProfit · +5 more fields

Balance sheet

12 fields

cash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields

Cash flow

5 fields

capitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field

annual: 2014-12-31–2025-12-31, 12 periods; quarterly: 2023-09-30–2026-06-30, 12 periods

Currencies cited: USD (quote USD; primary reporting USD; converted/valuation USD).

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