Zebra Technologies Corporation ZBRA

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-04

Zebra Technologies Corporation's latest quarterly revenue is $1.6B for the period ending 2026-07-04. The model projects $6.0B 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 12.5%. 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 2026-07-04. 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
$6.02B
+2.9% YoY
R&D Elasticity
0.91x
SG&A Elasticity
1.13x
Training Fit
3.4% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $1.36B vs the actual $1.56B — an error of 12.5%.
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

ZBRA Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-07-04		 $1.36B $1.56B $1.21B–$1.53B +5.3% ✗ Outside range
Q3 FY2026
Period end 2026-10-04		 $1.39B $1.23B–$1.58B +5.7%
Q4 FY2026
Period end 2027-01-04		 $1.48B $1.29B–$1.69B +0.2%
Q1 FY2027
Period end 2027-04-04		 $1.68B $1.45B–$1.94B +12.2%
Q2 FY2027
Period end 2027-07-04		 $1.47B $1.26B–$1.70B -5.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Zebra Technologies Corporation'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) 0.9943 -0.6% In line with trend 17
FQ2 (Apr–Jun) 0.9821 -1.8% In line with trend 17
FQ3 (Jul–Sep) 1.0146 +1.5% In line with trend 17
FQ4 (Oct–Dec) 1.0209 +2.1% In line with trend 17

Spending and Revenue

ZBRA 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: 0.3901x • R&D elasticity: 1.0695x
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 -12.5%.

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

QCOM FFIV HPE JKHY STX SNPS NXPI HUBS