Revvity, Inc. RVTY

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-05

Revvity, Inc.'s latest quarterly revenue is $730M for the period ending 2026-07-05. The model projects $3.0B across the next four quarters (+4.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 3.7%. 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 2026-07-05. 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
$3.04B
+4.3% YoY
SG&A Elasticity
0.87x
Training Fit
26.6% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $756.9M vs the actual $729.7M — an error of 3.7%.
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: Revvity, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

RVTY Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-07-05		 $756.9M $729.7M $374.3M–$1.53B +5.1% ✓ In range
Q3 FY2026
Period end 2026-10-05		 $737.4M $364.3M–$1.49B +5.5%
Q4 FY2026
Period end 2027-01-05		 $765.3M $376.1M–$1.56B -0.9%
Q1 FY2027
Period end 2027-04-05		 $771.1M $377.5M–$1.57B +8.4%
Q2 FY2027
Period end 2027-07-05		 $764.6M $373.5M–$1.57B +4.8%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Revvity, 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) 1.0128 +1.3% In line with trend 17
FQ2 (Apr–Jun) 1.0721 +7.2% +7.2% above trend 17
FQ3 (Jul–Sep) 1.0617 +6.2% +6.2% above trend 17
FQ4 (Oct–Dec) 1.019 +1.9% In line with trend 17

Spending and Revenue

RVTY 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: 0.9446x
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 3.7%.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch

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.

More in Technology

NOW FFIV VRSN NXPI PTC CDNS CSCO WDC