Entergy Corporation ETR

Revenue Intelligence Report • 40 quarters of SEC filing data • Updated 2026-03-15

Entergy's revenue is forecast to grow 7.4% year over year, with the pace supported by regulated rate-base expansions and platform-scale recurring revenue across its service territories, implying earnings visibility into the next several years. Our econometric model indicates the binding constraint on growth is grid transmission and distribution capacity to deliver higher load and integrate new generation, rather than incremental SG&A or R&D spend. Revenue growth attribution shows structural/platform growth accounting for roughly 67% of the increase, while SG&A elasticity is low and the R&D line remains negligible. Key risk: grid-capacity limitations and potential regulatory headwinds in rate cases could cap the velocity of base-rate growth and delay expansion plans.

Investment Thesis

At 10.3% MAPE, the model captures Entergy Corporation's broad revenue trajectory, though quarterly variability suggests sensitivity to external factors. Sales & marketing spend shows a 0.06x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$12.1B
+7.4% YoY
SG&A Elasticity
0.06x
Model Accuracy
10.3% MAPE
Holdout validation: The model predicted $2.6B vs the actual $2.7B — an error of 2.2%.
Note: Entergy Corporation does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

ETR Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 2018 $2.6B $2.7B $2.0B – $3.5B -0.3% ✓ In range
Q4 2018 $3.0B $2.2B – $4.0B -8.7%
Q1 2019 $3.0B $2.2B – $4.2B +15.4%
Q2 2019 $3.1B $2.2B – $4.4B +14.5%
Q3 2019 $3.0B $2.1B – $4.2B +11.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Entergy 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 (Sep–Nov) 1.0577 +5.8% +5.8% above trend 9
FQ2 (Dec–Feb) 0.9001 -10.0% -10.0% below trend 9
FQ3 (Mar–May) 0.995 -0.5% In line with trend 9
FQ4 (Jun–Aug) 1.0206 +2.1% In line with trend 9

How Spending Drives Revenue

ETR Spending Timing
Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

Spending Efficiency Over Time

Time-varying analysis: A penalized spline model (GAM) tracks how the link between spending and revenue has evolved over 40 quarters. A falling elasticity means the company needs less incremental spending to sustain growth — a hallmark of operating leverage from platform scale, pricing power, or recurring-revenue streams. A rising elasticity means each percent of additional spending more readily drives revenue than before.
Current SG&A elasticity: -0.5112x
Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-2.2% error vs ARDL, R² = 0.468), so this report uses the GAM for its quarterly forecasts.

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Data sourced from SEC EDGAR XBRL filings. Model: ARDL (log-log) with 40 quarters. This analysis is for informational purposes only and does not constitute investment advice.