Energy Transfer Lp ET

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

Energy Transfer Lp's latest quarterly revenue is $34.3B for the period ending 2026-06-30. The model projects $126B across the next four quarters (+17.4% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 11.7%. 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
$126.1B
+17.4% YoY
SG&A Elasticity
1.48x
Training Fit
15.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $30.31B vs the actual $34.33B — an error of 11.7%.
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: Energy Transfer Lp does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

ET Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$30.31B $34.33B $20.17B–$45.56B +57.5% ✓ In range
Q3 FY2026
Period end 2026-09-30
$31.83B $17.89B–$56.63B +59.5%
Q4 FY2026
Period end 2026-12-31
$31.90B $15.75B–$64.60B +26.0%
Q1 FY2027
Period end 2027-03-31
$30.64B $13.57B–$69.20B +10.3%
Q2 FY2027
Period end 2027-06-30
$31.69B $12.75B–$78.79B -7.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Energy Transfer Lp'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) 0.9722 -2.8% In line with trend 16
FQ2 (Apr–Jun) 0.9079 -9.2% -9.2% below trend 16
FQ3 (Jul–Sep) 1.083 +8.3% +8.3% above trend 16
FQ4 (Oct–Dec) 0.9572 -4.3% -4.3% below trend 16

Spending and Revenue

ET 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: 0.6761x
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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