Public Service Enterprise Group Incorporated PEG

Revenue Intelligence Report • 46 quarters of SEC filing data • Updated 2026-03-15

PEG’s revenue is forecast to grow about 6% year over year to roughly $11.3 billion, supported by a blend of structural/platform expansion and ongoing operating leverage within its regulated utility franchise. The binding constraint on revenue growth appears to be the regulatory approvals and rate-framework timing for capital investments and cost recovery of grid and generation assets. Our econometric model shows SG&A elasticity has trended lower over time—from about 0.92x toward 0.66x—suggesting rising operating leverage and that growth is increasingly driven by platform scale and recurring revenue rather than incremental spending; R&D contributions are negligible. Key risk: regulatory approval delays or unfavorable rate-case outcomes that limit allowed revenue growth and capex recovery.

Investment Thesis

The econometric model achieves strong accuracy (4.6% MAPE), suggesting Public Service Enterprise Group Incorporated's revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 1.24x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$10.7B
+6.2% YoY
SG&A Elasticity
1.24x
Model Accuracy
4.6% MAPE
Holdout validation: The model predicted $2.4B vs the actual $2.5B — an error of 1.9%.
Note: Public Service Enterprise Group Incorporated does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

PEG Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2019 $2.4B $2.5B $2.0B – $2.9B -1.5% ✓ In range
Q2 2020 $2.8B $2.3B – $3.5B -5.3%
Q3 2020 $2.8B $2.2B – $3.4B +20.1%
Q4 2020 $2.5B $2.1B – $3.0B +7.7%
Q1 2021 $2.6B $2.1B – $3.2B +5.4%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Public Service Enterprise Group Incorporated'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) 1.0177 +1.8% In line with trend 11
FQ2 (Dec–Feb) 0.9952 -0.5% In line with trend 11
FQ3 (Mar–May) 1.028 +2.8% In line with trend 10
FQ4 (Jun–Aug) 0.9974 -0.3% In line with trend 10

How Spending Drives Revenue

PEG 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 46 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: 0.6593x
Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-1.9% error vs ARDL, R² = 0.677), so this report uses the GAM for its quarterly forecasts.

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