Dominion Energy, Inc. D

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-03-15

Dominion Energy's revenue is forecast to decline about 2% year over year to roughly $16.1 billion in the coming year. Our econometric model shows the growth is driven mostly by structural/platform effects (about 70%), with SG&A contributing the remainder and R&D essentially zero. The binding constraint appears to be regulatory approvals and rate-case cycles that cap allowable revenue growth; the company relies on platform scale and pricing power to lift top-line results, but rate decisions will set the ceiling. SG&A elasticity has trended lower (moving toward zero), reinforcing the view that incremental spend is maintenance rather than the growth lever. Key risk: regulatory/rate-order risk—unexpected rate adjustments, delays in capex approvals, or tighter allowed returns could materially limit revenue upside.

Investment Thesis

The econometric model achieves strong accuracy (6.2% MAPE), suggesting Dominion Energy, Inc.'s revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.59x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$16.1B
-2.3% YoY
SG&A Elasticity
0.59x
Model Accuracy
6.2% MAPE
Holdout validation: The model predicted $3.9B vs the actual $4.1B — an error of 4.9%.
Note: Dominion Energy, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

D Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $3.9B $4.1B $3.2B – $4.8B +14.5% ✓ In range
Q2 2026 $4.0B $3.2B – $4.9B -1.8%
Q3 2026 $4.1B $3.3B – $5.1B +7.4%
Q4 2026 $4.0B $3.2B – $5.0B -11.3%
Q1 2027 $4.0B $3.2B – $5.0B -1.8%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Dominion 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 (Sep–Nov) 1.0261 +2.6% In line with trend 17
FQ2 (Dec–Feb) 1.0225 +2.2% In line with trend 17
FQ3 (Mar–May) 1.0226 +2.3% In line with trend 16
FQ4 (Jun–Aug) 0.9377 -6.2% -6.2% below trend 16

How Spending Drives Revenue

D 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 70 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: -0.1664x
Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-4.9% error vs ARDL, R² = 0.456), so this report uses the GAM for its quarterly forecasts.

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