What is PEG's forecasted revenue?

Public Service Enterprise Group Incorporated is forecasted to generate $11.0B in FY revenue, representing +8.7% year-over-year growth.

How accurate is the PEG revenue forecast model?

The ARDL model achieves 4.6% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $2.6B versus the actual $2.5B.

Public Service Enterprise Group Incorporated PEG

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

SG&A spending is the primary revenue driver, with a 1% increase in SG&A yielding a 1.24% rise in revenue, implying an elasticity of 1.24 in the log-log model. The model shows solid predictive performance, with a 4.6% MAPE and a holdout forecast of $2.6B versus actual $2.5B, a -2.9% error. The latest quarterly revenue was $2.478B, and the FY forecast projects about $11B in revenue, up roughly 8.7% year over year. While SG&A-driven revenue growth appears favorable, a complete ROI assessment requires margin and cost data; nonetheless, the combination of high elasticity and a constructive outlook supports continued revenue expansion.

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

$11.0B

+8.7% YoY

SG&A Elasticity

1.24x

Model Accuracy

4.6% MAPE

Holdout validation: The model predicted $2.6B vs the actual $2.5B — an error of 2.9%.

Note: Public Service Enterprise Group Incorporated does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q4 2019	$2.6B	$2.5B	$2.3B – $2.9B	+3.4%	✓ In range
Q2 2020	$2.8B		$2.4B – $3.3B	-6.4%
Q3 2020	$2.7B		$2.2B – $3.3B	+15.8%
Q4 2020	$2.7B		$2.1B – $3.3B	+16.2%
Q1 2021	$2.8B		$2.2B – $3.6B	+13.1%

How Spending Drives Revenue

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.

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