Jacobs Solutions Inc. J

Revenue Intelligence Report • 51 quarters of SEC filing data • Updated 2026-03-15

Revenue appears driven primarily by SG&A spending, with a 1% increase in SG&A associated with a 0.23% rise in revenue in this log-log model, a relationship supported by 51 quarters of data. The model shows 4.9% MAPE accuracy, with a holdout test predicting $3.0B versus $3.3B actual (7.5% error), indicating solid but not perfect short-term predictability. The FY forecast calls for about $12B in revenue, down 1.6% year over year, signaling a modest contraction despite SG&A-driven gains. The ROI on SG&A spend appears modest, suggesting incremental spend yields diminishing returns and highlighting the potential benefit of efficiency improvements or reallocation to higher-return initiatives.

Investment Thesis

The econometric model achieves strong accuracy (4.9% MAPE), suggesting Jacobs Solutions Inc.'s revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.23x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$12.0B
-1.6% YoY
SG&A Elasticity
0.23x
Model Accuracy
4.9% MAPE
Holdout validation: The model predicted $3.0B vs the actual $3.3B — an error of 7.5%.
Note: Jacobs Solutions Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

J Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 2025 $3.0B $3.3B $2.7B – $3.5B +5.6% ✓ In range
Q4 2025 $3.0B $2.5B – $3.6B +2.6%
Q1 2026 $3.0B $2.4B – $3.8B +2.9%
Q2 2026 $3.0B $2.3B – $3.9B -1.5%
Q3 2026 $3.0B $2.2B – $4.0B -9.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Jacobs Solutions 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) 1.0 +0.0% In line with trend 0
FQ2 (Dec–Feb) 1.0119 +1.2% In line with trend 17
FQ3 (Mar–May) 1.0086 +0.9% In line with trend 16
FQ4 (Jun–Aug) 1.0019 +0.2% In line with trend 16

How Spending Drives Revenue

J 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.

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