What is CME's forecasted revenue?

Cme Group Inc. is forecasted to generate $6.93B in FY revenue, representing +6.2% year-over-year growth.

How accurate is the CME revenue forecast model?

The ARDL model achieves 5.8% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.6B versus the actual $1.6B.

Cme Group Inc. CME

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-03-15

CME Group's revenue is expected to grow about 6% year over year to roughly $7.3 billion, driven by platform scale and pricing power rather than incremental SG&A spend. The binding constraint on revenue growth appears to be platform capacity—trading and clearing throughput—as our econometric model shows structural growth accounting for about 93% of the rise while SG&A contributes roughly 7%. The time-varying SG&A multiplier has fallen from about 1.12 to -0.04 over the period, indicating rising operating leverage and that CME can generate more revenue without a proportional increase in spend. Key risk: a surge in volumes beyond system capacity could throttle growth, making trading and clearing capacity the critical constraint to monitor.

Investment Thesis

The econometric model achieves strong accuracy (5.8% MAPE), suggesting Cme Group Inc.'s revenue trajectory is well-characterized by its spending patterns. Each $1 of SG&A spending generates $2.53 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$6.93B

+6.2% YoY

SG&A Multiplier

$2.53 per $1

Model Accuracy

5.8% MAPE

Holdout validation: The model predicted $1.6B vs the actual $1.6B — an error of 0.2%.

Note: Cme Group Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q4 2025	$1.6B	$1.6B	$1.5B – $1.8B	+7.8%	✓ In range
Q2 2026	$1.7B		$1.5B – $2.0B	+4.7%
Q3 2026	$1.7B		$1.4B – $2.0B	+2.1%
Q4 2026	$1.7B		$1.4B – $2.0B	+10.6%
Q1 2027	$1.8B		$1.4B – $2.1B	+7.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Cme Group Inc.'s systematic quarterly revenue patterns relative to the trend model. A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below. Factors are computed as the median of (actual / fitted) across all available quarters.

Fiscal Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Sep–Nov)	0.9702	-3.0%	In line with trend	17
FQ2 (Dec–Feb)	0.9781	-2.2%	In line with trend	17
FQ3 (Mar–May)	1.0365	+3.6%	+3.6% above trend	16
FQ4 (Jun–Aug)	1.0141	+1.4%	In line with trend	16

How Spending Drives Revenue

Reading this chart: Each line shows the cumulative revenue generated per $1 spent over subsequent quarters. The effect builds over 4-5 quarters as investments mature.

Spending Efficiency Over Time

Time-varying analysis: A penalized spline model (GAM) tracks how the link between spending and revenue has evolved over 70 quarters. A rising multiplier means each dollar of spending drives more revenue over time, signaling improving efficiency. A falling multiplier can indicate market saturation or rising cost-to-acquire.
Current SG&A multiplier: -0.0426

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