Vici Properties Inc. VICI

Revenue Intelligence Report • 35 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Vici Properties Inc.'s latest quarterly revenue is $1.1B for the period ending 2026-06-30. The model projects $3.9B across the next four quarters (-5.3% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.0%. 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
$3.88B
-5.3% YoY
G&A Multiplier
$71.93 per $1
Training Fit
4.6% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $994.7M vs the actual $1.06B — an error of 6.0%.
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: Vici Properties Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

VICI Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$994.7M $1.06B $922.2M–$1.07B -0.7% ✓ In range
Q3 FY2026
Period end 2026-09-30
$965.8M $863.2M–$1.07B -4.1%
Q4 FY2026
Period end 2026-12-31
$972.8M $847.2M–$1.10B -4.0%
Q1 FY2027
Period end 2027-03-31
$979.1M $834.1M–$1.12B -3.9%
Q2 FY2027
Period end 2027-06-30
$964.1M $802.0M–$1.13B -8.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Vici Properties 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) 0.98 -2.0% In line with trend 8
FQ2 (Apr–Jun) 1.0088 +0.9% In line with trend 7
FQ3 (Jul–Sep) 1.0038 +0.4% In line with trend 7
FQ4 (Oct–Dec) 0.9801 -2.0% In line with trend 8

Spending and Revenue

VICI Spending Timing
Reading this chart: Each line shows the cumulative revenue association per $1 of 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 35 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 0.7494x
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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