VRSK · Bayesian revenue outlook

Verisk Analytics, Inc.: Bayesian forecast status

Model review 2026-11-04 · Data cutoff 2026-06-30

Latest verified revenue: $806.30M for the quarter ended 2026-06-30. Reported source.

Forecasts are conditional on the listed data cutoff. Sources were refreshed for this model run on 2026-11-04; the cutoff above identifies the latest verified revenue observation used for this model review. Some forecast quarters may already have ended by the computation date. Read each target date before treating an estimate as a future-quarter outlook.

Bayesian forecast withheld. Posterior sampling diagnostics did not pass after a higher-accuracy retry.

No Bayesian interval or simulated path is presented for this vintage. The earlier report below remains available for context; its ranges are not Bayesian prediction intervals.

Management guidance versus reported revenue

Latest SEC earnings candidate sources were archived where available, but an exact numerical quarterly consolidated-revenue range and target were not fully verified. This is not evidence that the company never guides.

No verified numerical quarterly consolidated-revenue guidance is plotted for this research sample. This does not establish that the company never provides guidance; annual, segment-only and qualitative outlooks are separate.

Preserved Bayesian forecast vintage

Computed 2026-11-04 using revenue through 2026-03-31. These original numbers are retained unchanged to allow subsequent scoring; they were not refitted with the new results. Forecasts computed after a target quarter ended are retrospective estimates, not pre-release predictions.

Original predictive medians and intervals
Quarter endingOriginal medianOriginal 80% intervalOriginal 95% interval
2026-06-30$814.45M$729.37M–$922.99M$650.90M–$1.044B
2026-09-30$807.77M$701.48M–$939.78M$614.27M–$1.081B
2026-12-31$820.99M$687.72M–$986.72M$586.24M–$1.176B
2027-03-31$844.65M$700.36M–$1.047B$582.81M–$1.286B

Open preserved spaghetti chart

Earlier company analysis · preserved vintage 2026-10-14

The report below retains its original forecasts, validation and company-specific discussion. Those revenue estimates use a different model or information cutoff; they are separate from the Bayesian outlook above. Any EPS model below has not been recalculated using the new Bayesian revenue paths.

Verisk Analytics, Inc. VRSK

Revenue Intelligence Report • 17 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-03-31

Earlier summary (2026-10-14): Verisk Analytics, Inc.'s latest quarterly revenue is $783M for the period ending 2026-03-31. The model projects $3.2B across the next four quarters (+2.9% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 0.4%. 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 2026-03-31. 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
$3.19B
+2.9% YoY
SG&A Elasticity
-2.42x
Training Fit
0.8% MAPE
Retrospective holdout (Q1 FY2026): The model predicted $786.0M vs the actual $782.6M — an error of 0.4%.
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.
⚠ Model limitation: One or more estimated spending associations are negative. These observational coefficients do not establish a causal return on spending.
Note: Verisk Analytics, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

VRSK Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q1 FY2026
Period end 2026-03-31
$786.0M $782.6M $770.3M–$802.0M +4.4% ✓ In range
Q2 FY2026
Period end 2026-06-30
$795.4M $773.1M–$818.4M +3.0%
Q3 FY2026
Period end 2026-09-30
$802.9M $775.4M–$831.4M +4.5%
Q4 FY2026
Period end 2026-12-31
$796.7M $765.3M–$829.5M +2.3%
Q1 FY2027
Period end 2027-03-31
$795.6M $760.6M–$832.3M +1.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Verisk Analytics, 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) 1.0078 +0.8% In line with trend 3
FQ2 (Apr–Jun) 1.0053 +0.5% In line with trend 3
FQ3 (Jul–Sep) 0.9921 -0.8% In line with trend 4
FQ4 (Oct–Dec) 1.0006 +0.1% In line with trend 4

Spending and Revenue

VRSK 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 17 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.1639x
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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