What is PSA's forecasted revenue?

Public Storage is forecasted to generate $5.16B in FY revenue, representing +7.0% year-over-year growth.

How accurate is the PSA revenue forecast model?

The ARDL model achieves 1.7% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.2B versus the actual $1.2B.

Public Storage PSA

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

Revenue is driven by a high-leverage SG&A spend, with roughly $19.72 of long-run revenue generated per $1 of SG&A, signaling strong ROI from sales and marketing investments. The model is linear and supported by 70 quarters of data, delivering 1.7% MAPE accuracy, and a holdout test where the forecast was $1.2B and actual was $1.2B (−2.1% error), underscoring forecast reliability. Latest quarterly revenue is $1.216B, with a full-year forecast of $5.2B, representing about 7% year-over-year growth. The outlook points to continued growth through scalable demand in storage and disciplined SG&A efficiency, offering investors a stable ROI on spending and a constructive growth trajectory.

Investment Thesis

Our ARDL model tracks Public Storage's revenue with exceptional precision (1.7% MAPE), indicating highly predictable cash flows. Each $1 of SG&A spending generates $19.72 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$5.16B

+7.0% YoY

SG&A Multiplier

$19.72 per $1

Model Accuracy

1.7% MAPE

Holdout validation: The model predicted $1.2B vs the actual $1.2B — an error of 2.1%.

Note: Public Storage 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	$1.2B	$1.2B	$1.2B – $1.3B	+5.4%	✓ In range
Q2 2026	$1.3B		$1.2B – $1.3B	+6.4%
Q3 2026	$1.3B		$1.2B – $1.3B	+6.6%
Q4 2026	$1.3B		$1.2B – $1.4B	+6.3%
Q1 2027	$1.3B		$1.3B – $1.4B	+8.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Public Storage'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)	1.009	+0.9%	In line with trend	17
FQ2 (Dec–Feb)	0.9804	-2.0%	In line with trend	17
FQ3 (Mar–May)	0.9981	-0.2%	In line with trend	16
FQ4 (Jun–Aug)	1.0085	+0.8%	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.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch