Las Vegas Sands Corp. LVS

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Las Vegas Sands Corp.'s latest quarterly revenue is $3.2B for the period ending 2026-06-30. The model projects $14.2B across the next four quarters (+3.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 14.1%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&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
$14.2B
+3.3% YoY
SG&A Elasticity
1.53x
Training Fit
9.9% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $3.60B vs the actual $3.15B — an error of 14.1%.
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: Las Vegas Sands Corp. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

LVS Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$3.60B $3.15B $2.73B–$4.75B +13.4% ✓ In range
Q3 FY2026
Period end 2026-09-30
$3.43B $2.32B–$5.09B +3.1%
Q4 FY2026
Period end 2026-12-31
$3.47B $2.14B–$5.61B -5.0%
Q1 FY2027
Period end 2027-03-31
$3.61B $2.07B–$6.28B +0.6%
Q2 FY2027
Period end 2027-06-30
$3.67B $1.97B–$6.82B +16.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Las Vegas Sands Corp.'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) 0.9591 -4.1% -4.1% below trend 16
FQ2 (Apr–Jun) 0.9757 -2.4% In line with trend 16
FQ3 (Jul–Sep) 1.0087 +0.9% In line with trend 16
FQ4 (Oct–Dec) 0.9901 -1.0% In line with trend 16

Spending and Revenue

LVS 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 69 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.0222x
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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