Ul Solutions Inc. ULS

Revenue Intelligence Report • 14 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Ul Solutions Inc.'s latest quarterly revenue is $816M for the period ending 2026-06-30. The model projects $3.2B across the next four quarters (+3.0% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 4.6%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$3.24B
+3.0% YoY
SG&A Elasticity
1.44x
Training Fit
1.5% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $778.2M vs the actual $816.0M — an error of 4.6%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
Note: Ul Solutions Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

ULS Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$778.2M $816.0M $751.4M–$806.0M +0.3% ✗ Outside range
Q3 FY2026
Period end 2026-09-30
$798.1M $759.4M–$838.6M +1.9%
Q4 FY2026
Period end 2026-12-31
$815.1M $767.1M–$866.2M +3.3%
Q1 FY2027
Period end 2027-03-31
$806.6M $752.0M–$865.3M +6.4%
Q2 FY2027
Period end 2027-06-30
$820.8M $758.9M–$887.8M +0.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Ul 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 (Jan–Mar) 0.9877 -1.2% In line with trend 3
FQ2 (Apr–Jun) 1.0101 +1.0% In line with trend 2
FQ3 (Jul–Sep) 1.0128 +1.3% In line with trend 3
FQ4 (Oct–Dec) 0.9997 -0.0% In line with trend 3

Spending and Revenue

ULS Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 14 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.5921x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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