What is CI's forecasted revenue?

The Cigna Group is forecasted to generate $249.8B in FY revenue, representing -9.1% year-over-year growth.

How accurate is the CI revenue forecast model?

The ARDL model achieves 5.8% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $68B versus the actual $72B.

The Cigna Group CI

Revenue Intelligence Report • 32 quarters of SEC filing data • Updated 2026-03-15

Our econometric model shows the 9.1% YoY revenue drop is being offset more by SG&A efficiency than by member growth or pricing power—SG&A ROI of 22.77x implies growth is coming from how effectively overhead and marketing are monetized, not just volume. The holdout miss (predicted 67.8B vs actual 72.5B, -6.5%) signals forecast sensitivity and out-of-sample risk, even as overall MAPE sits at 5.8%. Near-term upside hinges on sustaining SG&A-driven lift and favorable mix rather than a new product cycle. In a competitive, highly regulated market, the path to margin resilience depends on enrollment stability, pricing discipline, and ongoing efficiency gains.

Investment Thesis

The econometric model achieves strong accuracy (5.8% MAPE), suggesting The Cigna Group's revenue trajectory is well-characterized by its spending patterns. Each $1 of SG&A spending generates $22.77 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$249.8B

-9.1% YoY

SG&A Multiplier

$22.77 per $1

Model Accuracy

5.8% MAPE

Holdout validation: The model predicted $68B vs the actual $72B — an error of 6.5%.

Note: The Cigna Group 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	$68B	$72B	$60B – $76B	+3.3%	✓ In range
Q2 2026	$65B		$54B – $76B	-0.7%
Q3 2026	$63B		$50B – $77B	-6.1%
Q4 2026	$62B		$46B – $77B	-11.7%
Q1 2027	$60B		$43B – $77B	-17.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture The Cigna Group'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)	0.9703	-3.0%	In line with trend	7
FQ2 (Dec–Feb)	0.9913	-0.9%	In line with trend	7
FQ3 (Mar–May)	0.9749	-2.5%	In line with trend	7
FQ4 (Jun–Aug)	0.9996	-0.0%	In line with trend	7

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.

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