What is ESS's forecasted revenue?

Essex Property Trust, Inc. is forecasted to generate $1.98B in FY revenue, representing +4.7% year-over-year growth.

How accurate is the ESS revenue forecast model?

The ARDL model achieves 2.2% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $480B versus the actual $480B.

Essex Property Trust, Inc. ESS

Revenue Intelligence Report • 66 quarters of SEC filing data • Updated 2026-03-15

Revenue growth is driven by SG&A investments, with an elasticity of 0.35 in a log-log model, so a 1% increase in SG&A is associated with a 0.35% increase in revenue. The model’s holdout test confirms reliability, with the latest quarter revenue predicted at $480M and actual at $480M (−0.1% error) and an overall MAPE of 2.2%. The FY forecast projects about $1,975M in revenue, up 4.7% year over year, signaling steady growth under the current spend framework. ROI on SG&A spending is positive but modest; incremental revenue gains from SG&A should be weighed against profitability, and margin improvements will hinge on cost discipline and productivity.

Investment Thesis

Our ARDL model tracks Essex Property Trust, Inc.'s revenue with exceptional precision (2.2% MAPE), indicating highly predictable cash flows. Sales & marketing spend shows a 0.35x elasticity, suggesting effective go-to-market execution.

Next FY Revenue

$1.98B

+4.7% YoY

SG&A Elasticity

0.35x

Model Accuracy

2.2% MAPE

Holdout validation: The model predicted $480B vs the actual $480B — an error of 0.1%.

Note: Essex Property Trust, 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	$480B	$480B	$428B – $539B	+5.6%	✓ In range
Q2 2026	$486B		$413B – $572B	+4.6%
Q3 2026	$492B		$402B – $600B	+4.6%
Q4 2026	$497B		$394B – $626B	+4.9%
Q1 2027	$501B		$387B – $649B	+4.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Essex Property Trust, 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)	0.9978	-0.2%	In line with trend	17
FQ2 (Dec–Feb)	0.9927	-0.7%	In line with trend	16
FQ3 (Mar–May)	0.9963	-0.4%	In line with trend	16
FQ4 (Jun–Aug)	0.9995	-0.0%	In line with trend	16

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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