Realty Income Corporation O

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

Realty Income Corporation's latest quarterly revenue is $1.5B for the period ending 2026-06-30. The model projects $7.9B across the next four quarters (+29.7% 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 ARDL 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
$7.85B
+29.7% YoY
G&A Elasticity
1.05x
Training Fit
3.3% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $1.65B vs the actual $1.55B — 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: Realty Income Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

O Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$1.65B $1.55B $1.47B–$1.85B +17.0% ✓ In range
Q3 FY2026
Period end 2026-09-30
$1.78B $1.51B–$2.08B +20.7%
Q4 FY2026
Period end 2026-12-31
$1.89B $1.56B–$2.30B +27.1%
Q1 FY2027
Period end 2027-03-31
$2.03B $1.62B–$2.54B +30.9%
Q2 FY2027
Period end 2027-06-30
$2.16B $1.68B–$2.78B +39.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Realty Income Corporation'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) 1.013 +1.3% In line with trend 9
FQ2 (Apr–Jun) 0.9807 -1.9% In line with trend 9
FQ3 (Jul–Sep) 0.9865 -1.3% In line with trend 9
FQ4 (Oct–Dec) 0.9947 -0.5% In line with trend 9

Spending and Revenue

O 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: 1.2106x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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