What is VTR's forecasted revenue?

Ventas, Inc. is forecasted to generate $5.59B in FY revenue, representing -4.2% year-over-year growth.

How accurate is the VTR revenue forecast model?

The ARDL model achieves 3.5% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.5B versus the actual $1.6B.

Ventas, Inc. VTR

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

Revenue appears driven primarily by SG&A spending, with near-unit elasticity: a 1% increase in SG&A yields about a 0.99% increase in revenue, indicating SG&A is the main lever for topline growth. The model, based on a log-log framework, shows solid predictive power with 3.5% MAPE and a holdout error of 5.5% (predicted $1.50B vs actual $1.60B). The FY outlook calls for roughly $5.6B in revenue, about 4.2% lower year over year, signaling near-term headwinds despite a long data history of 70 quarters. Given the near-unit elasticity of SG&A, ROI on SG&A spend is expected to be proportional, suggesting marginal spending increases translate to similar gains in revenue, though investors should brace for continued revenue pressure in the near term.

Investment Thesis

The econometric model achieves strong accuracy (3.5% MAPE), suggesting Ventas, Inc.'s revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.99x elasticity, suggesting effective go-to-market execution.

Next FY Revenue

$5.59B

-4.2% YoY

SG&A Elasticity

0.99x

Model Accuracy

3.5% MAPE

Holdout validation: The model predicted $1.5B vs the actual $1.6B — an error of 5.5%.

Note: Ventas, 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	$1.5B	$1.6B	$1.3B – $1.6B	+15.0%	✓ In range
Q2 2026	$1.4B		$1.2B – $1.7B	+4.8%
Q3 2026	$1.4B		$1.2B – $1.7B	-2.3%
Q4 2026	$1.4B		$1.1B – $1.7B	-7.0%
Q1 2027	$1.4B		$1.1B – $1.8B	-10.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Ventas, 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)	1.0048	+0.5%	In line with trend	17
FQ2 (Dec–Feb)	0.9909	-0.9%	In line with trend	17
FQ3 (Mar–May)	0.989	-1.1%	In line with trend	16
FQ4 (Jun–Aug)	1.0046	+0.5%	In line with trend	17

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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