What is AVB's forecasted revenue?

Avalonbay Communities, inc. is forecasted to generate $3.14B in FY revenue, representing +3.4% year-over-year growth.

How accurate is the AVB revenue forecast model?

The ARDL model achieves 1.9% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $772B versus the actual $768B.

Avalonbay Communities, inc. AVB

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

Revenue is driven by occupancy and rent realization in the apartment portfolio, with a strong return on SG&A spending: every $1 of SG&A is modeled to generate $11.48 in long-run revenue. The linear model trained on 70 quarters shows 1.9% MAPE accuracy, and a holdout test predicted $772M versus actual $768M, a -0.5% error, indicating solid near-term predictive reliability. The FY revenue forecast is $3,143M, up 3.4% year over year, signaling a modest yet steady growth trajectory. With no R&D input data, the outlook hinges on operating metrics—occupancy, rent dynamics, and SG&A efficiency—to support continued revenue expansion.

Investment Thesis

Our ARDL model tracks Avalonbay Communities, inc.'s revenue with exceptional precision (1.9% MAPE), indicating highly predictable cash flows. Each $1 of SG&A spending generates $11.48 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$3.14B

+3.4% YoY

SG&A Multiplier

$11.48 per $1

Model Accuracy

1.9% MAPE

Holdout validation: The model predicted $772B vs the actual $768B — an error of 0.5%.

Note: Avalonbay Communities, 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	$772B	$768B	$749B – $795B	+4.2%	✓ In range
Q2 2026	$777B		$745B – $810B	+4.2%
Q3 2026	$783B		$743B – $823B	+3.0%
Q4 2026	$789B		$743B – $834B	+2.8%
Q1 2027	$794B		$743B – $846B	+3.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Avalonbay Communities, 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)	1.0013	+0.1%	In line with trend	17
FQ2 (Dec–Feb)	0.9913	-0.9%	In line with trend	17
FQ3 (Mar–May)	0.9975	-0.3%	In line with trend	16
FQ4 (Jun–Aug)	1.0094	+0.9%	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.

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