Extra Space Storage Inc. EXR

Revenue Intelligence Report • 38 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Extra Space Storage Inc.'s latest quarterly revenue is $35M for the period ending 2026-06-30. The model projects $130M across the next four quarters (-3.8% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.7%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM forecast is based on reported revenue and G&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$130.0M
-3.8% YoY
G&A Elasticity
1.55x
Training Fit
35.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $32.6M vs the actual $34.9M — an error of 6.7%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
Note: The current filings use G&A (GeneralAndAdministrativeExpense). Spending estimates refer to this expense measure, not separately reported SG&A.
Note: Extra Space Storage Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

EXR Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$32.6M $34.9M $7.8M–$135.3M +1.7% ✓ In range
Q3 FY2026
Period end 2026-09-30
$34.1M $6.9M–$167.9M +4.8%
Q4 FY2026
Period end 2026-12-31
$30.1M $4.4M–$208.3M -11.4%
Q1 FY2027
Period end 2027-03-31
$33.6M $4.9M–$230.2M -0.4%
Q2 FY2027
Period end 2027-06-30
$32.3M $3.7M–$278.4M -7.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Extra Space Storage 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 QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Jan–Mar) 0.9965 -0.3% In line with trend 10
FQ2 (Apr–Jun) 0.9591 -4.1% -4.1% below trend 9
FQ3 (Jul–Sep) 1.0767 +7.7% +7.7% above trend 9
FQ4 (Oct–Dec) 1.0376 +3.8% +3.8% above trend 9

Spending and Revenue

EXR Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 38 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: -0.7207x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.
Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is -6.7%.

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