Rocket Lab Corporation RKLB

Revenue Intelligence Report • 24 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Rocket Lab Corporation's latest quarterly revenue is $234M for the period ending 2026-06-30. The model projects $1.1B across the next four quarters (+42.6% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 8.2%. 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
$1.10B
+42.6% YoY
R&D Elasticity
0.50x
SG&A Elasticity
1.37x
Training Fit
2.3% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $214.9M vs the actual $234.1M — an error of 8.2%.
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

RKLB Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$214.9M $234.1M $201.7M–$229.0M +48.7% ✗ Outside range
Q3 FY2026
Period end 2026-09-30
$238.5M $218.1M–$260.9M +53.8%
Q4 FY2026
Period end 2026-12-31
$256.4M $229.7M–$286.2M +42.7%
Q1 FY2027
Period end 2027-03-31
$279.5M $246.2M–$317.3M +39.5%
Q2 FY2027
Period end 2027-06-30
$322.2M $279.6M–$371.3M +37.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Rocket Lab 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) 0.998 -0.2% In line with trend 5
FQ2 (Apr–Jun) 1.0027 +0.3% In line with trend 4
FQ3 (Jul–Sep) 0.9999 -0.0% In line with trend 5
FQ4 (Oct–Dec) 1.0092 +0.9% In line with trend 5

Spending and Revenue

RKLB 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 24 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.572x • R&D elasticity: -2.1122x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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