Synopsys Inc SNPS

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-31

Synopsys Inc's latest quarterly revenue is $2.5B for the period ending 2026-07-31. The model projects $13.2B across the next four quarters (+39.8% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 13.5%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM forecast is based on reported revenue and SG&A data through 2026-07-31. 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
$13.2B
+39.8% YoY
R&D Elasticity
0.73x
SG&A Elasticity
1.21x
Training Fit
3.0% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $2.81B vs the actual $2.48B — an error of 13.5%.
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.

Revenue Forecast

SNPS Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-07-31		 $2.81B $2.48B $2.50B–$3.17B +61.6% ✗ Outside range
Q4 FY2026
Period end 2026-10-31		 $3.07B $2.71B–$3.49B +36.3%
Q1 FY2027
Period end 2027-01-31		 $3.10B $2.73B–$3.50B +28.5%
Q2 FY2027
Period end 2027-04-30		 $3.05B $2.70B–$3.45B +34.2%
Q3 FY2027
Period end 2027-07-31		 $3.94B $3.37B–$4.60B +59.0%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Synopsys 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 (Nov–Jan) 1.0212 +2.1% In line with trend 17
FQ2 (Feb–Apr) 1.0015 +0.1% In line with trend 17
FQ3 (May–Jul) 1.0012 +0.1% In line with trend 17
FQ4 (Aug–Oct) 0.9904 -1.0% In line with trend 17

Spending and Revenue

SNPS 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 69 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.5043x • R&D elasticity: 0.2351x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.
Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is 13.5%.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: GAM; spending associations: ARDL (log-log) with 69 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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