Cheniere Energy, Inc. LNG

Revenue Intelligence Report • 44 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Cheniere Energy, Inc.'s latest quarterly revenue is $5.7B for the period ending 2026-06-30. The model projects $18.9B across the next four quarters (-14.0% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 3.3%. 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
$18.9B
-14.0% YoY
SG&A Elasticity
0.69x
Training Fit
16.4% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $5.86B vs the actual $5.68B — an error of 3.3%.
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: Cheniere Energy, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

LNG Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$5.86B $5.68B $3.90B–$8.82B +30.1% ✓ In range
Q3 FY2026
Period end 2026-09-30
$4.03B $2.26B–$7.18B -6.1%
Q4 FY2026
Period end 2026-12-31
$4.52B $2.23B–$9.17B -15.8%
Q1 FY2027
Period end 2027-03-31
$5.38B $2.38B–$12.17B -18.3%
Q2 FY2027
Period end 2027-06-30
$4.92B $1.98B–$12.25B -13.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Cheniere Energy, 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) 1.0018 +0.2% In line with trend 10
FQ2 (Apr–Jun) 0.9942 -0.6% In line with trend 10
FQ3 (Jul–Sep) 0.8925 -10.7% -10.7% below trend 10
FQ4 (Oct–Dec) 1.0456 +4.6% +4.6% above trend 10

Spending and Revenue

LNG 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 44 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.1798x
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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