Intercontinental Exchange, Inc. ICE
Revenue Intelligence Report • 52 quarters of SEC filing data • Updated 2026-03-15
Intercontinental Exchange, Inc. has a forecasted full-year revenue of $12B, a -4.8% year-over-year change, based on 52 quarters of SEC filing data. Key revenue drivers include SG&A (elasticity 0.76x). The ARDL model has 5.4% MAPE.
Investment Thesis
The econometric model achieves strong accuracy (5.4% MAPE), suggesting Intercontinental Exchange, Inc.'s revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.76x elasticity, suggesting effective go-to-market execution.
Next FY Revenue
$12.0B
-4.8% YoY
SG&A Elasticity
0.76x
Model Accuracy
5.4% MAPE
Holdout validation: The model predicted $3.1B vs the actual $3.1B — an error of 2.3%.
Note:
Intercontinental Exchange, 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 | $3.1B | $3.1B | $2.7B – $3.5B | +1.3% | ✓ In range |
| Q2 2026 | $3.1B | $2.6B – $3.7B | -4.5% | ||
| Q3 2026 | $3.0B | $2.4B – $3.8B | -8.3% | ||
| Q4 2026 | $3.0B | $2.3B – $3.9B | -0.9% | ||
| Q1 2027 | $3.0B | $2.2B – $4.0B | -5.2% |
Seasonal Factors
Multiplicative seasonal adjustment:
These factors capture Intercontinental Exchange, 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) | 1.0017 | +0.2% | In line with trend | 12 |
| FQ2 (Dec–Feb) | 1.0166 | +1.7% | In line with trend | 12 |
| FQ3 (Mar–May) | 1.0226 | +2.3% | In line with trend | 12 |
| FQ4 (Jun–Aug) | 0.9654 | -3.5% | -3.5% below trend | 12 |
How Spending Drives Revenue
Reading this chart:
Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.
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